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2,034 results on '"Natural resources institute Finland"'

1. Nature-based Therapies in Stroke Rehabilitation

Author: Helsinki University Central Hospital, University of Jyvaskyla, Tampere University, University of Eastern Finland, Natural Resources Institute Finland, and University of Helsinki
Published: 2024

2. FoodStep - a Sustainable Model for Food Services and Early Childhood Education and Care

Author: University of Helsinki, Natural Resources Institute Finland, Laurea University of Applied Sciences, and Suvi Virtanen, Research Professor
Published: 2023

3. Effect of Plant and Animal Proteins on Biomarkers of Colorectal Cancer and Type 2 Diabetes in Healthy Adults (ScenoProt) (ScenoProt)

Author: Natural Resources Institute Finland, Makery Ltd, Finland, and Anne-Maria Pajari, Adjunct Professor
Published: 2021

4. Forest Tree Virome as a Source of Tree Diseases and Biological Control Agents

Author: Natural Resources Institute Finland, Junta de Castilla y León, German Research Foundation, Vainio, Eeva [0000-0002-6739-7968], Rumbou, Artemis [0000-0002-7237-7355], Díez, Julio Javier [0000-0003-0558-8141], Büttner, Carmen [0000-0002-2086-2594], Vainio, Eeva, Rumbou, Artemis, Díez, Julio Javier, Büttner, Carmen, Natural Resources Institute Finland, Junta de Castilla y León, German Research Foundation, Vainio, Eeva [0000-0002-6739-7968], Rumbou, Artemis [0000-0002-7237-7355], Díez, Julio Javier [0000-0003-0558-8141], Büttner, Carmen [0000-0002-2086-2594], Vainio, Eeva, Rumbou, Artemis, Díez, Julio Javier, and Büttner, Carmen
Abstract: Purpose of Review: The collective virome of forest trees can be considered to include not only plant viruses, but also viral communities harbored by all tree-associated organisms. In this review, we will concentrate on reviewing recent developments in the two fields of forest tree virology that have received the most research input during the last 5 years: (1) current knowledge of virus diseases affecting forest trees and their causal agents and (2) fungal viruses (mycoviruses) and properties that are required for utilizing them for biocontrol purposes. Recent Findings: The discovery of plant and mycoviruses has been revolutionized during the last few years due to high-throughput sequencing (HTS). This has altered our view of virus diversity and prevalence, but also their host ranges, transmission routes, and host effects. Utilization of HTS has greatly expanded our knowledge of plant virus diversity and disease etiology in forest trees and revealed the commonness of cross-kingdom transmission events between fungi, oomycetes, plants, and arthropods. Research on mycoviruses has also identified several new mycoviruses that restrict the growth or virulence of forest pathogenic fungi. Summary: Gaining knowledge of the collective virome of forest ecosystems is essential not only for understanding virus evolution and diversity but also for improving our understanding on virus impacts, and our ability for biocontrol-based and environmentally friendly management of viral and fungal diseases that affect economically important plants and beneficial insects, and for preventing possible disease outbreaks in the future. Virus infections play a central role in plant health, but viral symptoms on forest trees remain often unrecognized and may be confused with other biotic or abiotic damages. However, recent studies have revealed previously unknown viruses as causes of forest tree symptoms and suggest that viruses are responsible for far greater economic losses than recognized earl
Published: 2024

5. Current state of mixed forests available for wood supply in Finland and Sweden

Author: Natural Resources Institute Finland, Swedish University of Agricultural Sciences, Lee, Daesung [0000-0003-1586-9385], Holmström, Emma [0000-0003-2025-1942], Hynynen, J. [0000-0002-9132-8612], Nilsson, U. [0000-0002-7624-4031], Korhonen, Kari T. [0000-0002-6198-853X], Westerlund, Bertil [0000-0002-1073-8434], Bianchi, Simone [0000-0001-9544-7400], Aldea, Jorge [0000-0003-2568-5192], Huuskonen, Saija [0000-0001-8630-3982], Lee, Daesung, Holmström, Emma, Hynynen, J., Nilsson, U., Korhonen, Kari T., Westerlund, Bertil, Bianchi, Simone, Aldea, Jorge, Huuskonen, Saija, Natural Resources Institute Finland, Swedish University of Agricultural Sciences, Lee, Daesung [0000-0003-1586-9385], Holmström, Emma [0000-0003-2025-1942], Hynynen, J. [0000-0002-9132-8612], Nilsson, U. [0000-0002-7624-4031], Korhonen, Kari T. [0000-0002-6198-853X], Westerlund, Bertil [0000-0002-1073-8434], Bianchi, Simone [0000-0001-9544-7400], Aldea, Jorge [0000-0003-2568-5192], Huuskonen, Saija [0000-0001-8630-3982], Lee, Daesung, Holmström, Emma, Hynynen, J., Nilsson, U., Korhonen, Kari T., Westerlund, Bertil, Bianchi, Simone, Aldea, Jorge, and Huuskonen, Saija
Abstract: This study’s objectives were to suggest harmonised criteria for the definition of mixed forests for two Nordic countries, describe their principal mixture types, and provide an overview of their current extent. We used national forest inventory data compiled in Finland and Sweden, considering the forest available for wood supply (FAWS), excluding seedling and sapling plots before canopy closure. The definition of the mixed forest was based on the threshold criteria, which indicate the basal area proportion of the dominant tree species of the total in a stand. The proportion of mixed forests increased with higher threshold criteria: 21% to 42% in Finland and 24% to 49% in Sweden, as the threshold criterion was changed from 65% to 85%. With a threshold criterion of 75%, the area of mixed FAWS was 5.6 million ha (31% of FAWS) in Finland and 6.5 million ha (36%) in Sweden. The dominant mixture type was the pine-spruce-birches mixture (31%) in Finland and the pine-spruce mixture (29%) in Sweden. The proportion of peatland forest of mixed forests was similar in the countries: 9–10%. The mixed forests proportion increased from north boreal to hemiboreal, increasing with more mature development classes.
Published: 2023

6. Adaptive responses to temperature and precipitation variation at the early-life stages of Pinus sylvestris

Author: European Commission, Academy of Finland, Natural Resources Institute Finland, Servicio Territorial de Medio Ambiente de Segovia, Agencia Estatal de Meteorología (España), Ramírez Valiente, José Alberto [0000-0002-5951-2938], Solé-Medina, Aida [0000-0001-6681-2747], Pyhäjärvi, Tanja [0000-0001-6958-5172], Savolainen, Outi [0000-0001-9851-7945], Heer, Katrin [0000-0002-1036-599X], Opgenoorth, Lars [0000-0003-0737-047X], Danusevicius, Darius [0000-0002-1196-9293], Robledo-Arnuncio, Juan José [0000-0002-3909-8928], Ramírez Valiente, José Alberto, Solé-Medina, Aida, Pyhäjärvi, Tanja, Savolainen, Outi, Heer, Katrin, Opgenoorth, Lars, Danusevicius, Darius, Robledo-Arnuncio, Juan José, European Commission, Academy of Finland, Natural Resources Institute Finland, Servicio Territorial de Medio Ambiente de Segovia, Agencia Estatal de Meteorología (España), Ramírez Valiente, José Alberto [0000-0002-5951-2938], Solé-Medina, Aida [0000-0001-6681-2747], Pyhäjärvi, Tanja [0000-0001-6958-5172], Savolainen, Outi [0000-0001-9851-7945], Heer, Katrin [0000-0002-1036-599X], Opgenoorth, Lars [0000-0003-0737-047X], Danusevicius, Darius [0000-0002-1196-9293], Robledo-Arnuncio, Juan José [0000-0002-3909-8928], Ramírez Valiente, José Alberto, Solé-Medina, Aida, Pyhäjärvi, Tanja, Savolainen, Outi, Heer, Katrin, Opgenoorth, Lars, Danusevicius, Darius, and Robledo-Arnuncio, Juan José
Abstract: Early-stage fitness variation has been seldom evaluated at broad scales in forest tree species, despite the long tradition of studying climate-driven intraspecific genetic variation. In this study, we evaluated the role of climate in driving patterns of population differentiation at early-life stages in Pinus sylvestris and explored the fitness and growth consequences of seed transfer within the species range. We monitored seedling emergence, survival and growth over a 2-yr period in a multi-site common garden experiment which included 18 European populations and spanned 25° in latitude and 1700 m in elevation. Climate-fitness functions showed that populations exhibited higher seedling survival and growth at temperatures similar to their home environment, which is consistent with local adaptation. Northern populations experienced lower survival and growth at warmer sites, contrary to previous studies on later life stages. Seed mass was higher in populations from warmer areas and was positively associated with survival and growth at more southern sites. Finally, we did not detect a survival-growth trade-off; on the contrary, bigger seedlings exhibited higher survival probabilities under most climatic conditions. In conclusion, our results reveal that contrasting temperature regimes have played an important role in driving the divergent evolution of P. sylvestris populations at early-life stages.
Published: 2021

7. Selection patterns on early-life phenotypic traits in Pinus sylvestris are associated with precipitation and temperature along a climatic gradient in Europe

Author: European Commission, Academy of Finland, Natural Resources Institute Finland, Ramírez-Valiente, José Alberto, Solé-Medina, Aida, Pyhäjärvi, Tanja, Savolainen, Outi, Cervantes, Sandra, Kesälahti, Robert, Kujala, Sonja T., Kumpula, Timo, Heer, Katrin, Opgenoorth, Lars, Siebertz, Jan, Danusevicius, Darius, Notivol, Eduardo, Benavides, Raquel, Robledo Arnuncio, Juan José, European Commission, Academy of Finland, Natural Resources Institute Finland, Ramírez-Valiente, José Alberto, Solé-Medina, Aida, Pyhäjärvi, Tanja, Savolainen, Outi, Cervantes, Sandra, Kesälahti, Robert, Kujala, Sonja T., Kumpula, Timo, Heer, Katrin, Opgenoorth, Lars, Siebertz, Jan, Danusevicius, Darius, Notivol, Eduardo, Benavides, Raquel, and Robledo Arnuncio, Juan José
Abstract: Understanding the dynamics of selection is key to predicting the response of tree species to new environmental conditions in the current context of climate change. However, selection patterns acting on early recruitment stages and their climatic drivers remain largely unknown in most tree species, despite being a critical period of their life cycle. We measured phenotypic selection on Pinus sylvestris seed mass, emergence time and early growth rate over 2 yr in four common garden experiments established along the latitudinal gradient of the species in Europe. Significant phenotypic plasticity and among-population genetic variation were found for all measured phenotypic traits. Heat and drought negatively affected fitness in the southern sites, but heavy rainfalls also decreased early survival in middle latitudes. Climate-driven directional selection was found for higher seed mass and earlier emergence time, while the form of selection on seedling growth rates differed among sites and populations. Evidence of adaptive and maladaptive phenotypic plasticity was found for emergence time and early growth rate, respectively. Seed mass, emergence time and early growth rate have an adaptive role in the early stages of P. sylvestris and climate strongly influences the patterns of selection on these fitness-related traits.
Published: 2021

8. Modelling Non-timber Forest Products for Forest Management Planning in Europe

Author: Natural Resources Institute Finland, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Miina, Jari [0000-0002-8639-4383], Kurttila, Mikko [0000-0001-5290-4771], Calama Sainz, Rafael Argimiro [0000-0002-2598-9594], de-Miguel, Sergio [0000-0002-9738-0657], Pukkala, T. [0000-0003-2853-9510], Miina, Jari, Kurttila, Mikko, Calama Sainz, Rafael Argimiro, de-Miguel, Sergio, Pukkala, T., Natural Resources Institute Finland, Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Miina, Jari [0000-0002-8639-4383], Kurttila, Mikko [0000-0001-5290-4771], Calama Sainz, Rafael Argimiro [0000-0002-2598-9594], de-Miguel, Sergio [0000-0002-9738-0657], Pukkala, T. [0000-0003-2853-9510], Miina, Jari, Kurttila, Mikko, Calama Sainz, Rafael Argimiro, de-Miguel, Sergio, and Pukkala, T.
Abstract: Purpose of Review: The increased popularity and commercial use of non-timber forest products (NTFPs) calls for the development of models for NTFPs to include their predicted yields in forest management planning and to evaluate the potential of multi-functional forest management. This study assesses and discusses the current state of the art and trends in NTFP yield modelling in Europe and the integration of the models in multi-functional forest management planning at different spatial scales. Recent Findings: Climate-sensitive empirical yield models already exist not only for a variety of NTFPs that are economically important to forest owners (e.g. cork and pine nuts) but also for wild-gathered berries and mushrooms, the harvesting of which cannot be controlled by the forest landowner in all European countries. Several studies on multi-functional forest management planning consider the economic profitability of the joint production of timber and NTFP. Harvesting NTFPs can create significant additional incomes for forest owners, compared with timber production only. However, maximizing the economic returns from the joint production of timber and NTFPs often calls for changes in forest management practices. Summary: Continued efforts in modelling and predicting the yields of NTFPs have enabled forest managers to further expand the analyses of multi-functional forest planning and management in Europe. Climate-sensitive models also allow analyses on the potential effects of climate change on NTFP yields. New models and forest management practices are still needed for tree fruits, birch sap, a wider variety of wild edible mushrooms, specialty mushrooms cultivated on live trees as well as medicinal and edible forest herbs harvested for commercial value in Europe.
Published: 2020

9. Global wheat production with 1.5 and 2.0°C above pre‐industrial warming

Author: National Science Foundation (US), National Natural Science Foundation of China, International Food Policy Research Institute (US), CGIAR (France), Institut National de la Recherche Agronomique (France), Federal Ministry of Education and Research (Germany), Biotechnology and Biological Sciences Research Council (UK), China Scholarship Council, Department of Agriculture and Water Resources (Australia), Ministero delle Politiche Agricole Alimentari e Forestali, Gorgan University, Victoria State Government, National Institute of Food and Agriculture (US), Federal Ministry of Food and Agriculture (Germany), German Research Foundation, Academy of Finland, LabEx Agro, Natural Resources Institute Finland, Liu, Bing, Martre, Pierre, Ewert, Frank, Porter, John R., Challinor, Andrew J., Müller, Christoph, Ruane, Alexander C., Waha, Katharina, Thorburn, Peter, Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Jurajb, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, De Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Ferrise, Roberto, García Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Kumar, Soora Naresh, Nendel, Claas, O'Leary, Garry, Palosuo, Taru, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, Asseng, Senthold, National Science Foundation (US), National Natural Science Foundation of China, International Food Policy Research Institute (US), CGIAR (France), Institut National de la Recherche Agronomique (France), Federal Ministry of Education and Research (Germany), Biotechnology and Biological Sciences Research Council (UK), China Scholarship Council, Department of Agriculture and Water Resources (Australia), Ministero delle Politiche Agricole Alimentari e Forestali, Gorgan University, Victoria State Government, National Institute of Food and Agriculture (US), Federal Ministry of Food and Agriculture (Germany), German Research Foundation, Academy of Finland, LabEx Agro, Natural Resources Institute Finland, Liu, Bing, Martre, Pierre, Ewert, Frank, Porter, John R., Challinor, Andrew J., Müller, Christoph, Ruane, Alexander C., Waha, Katharina, Thorburn, Peter, Aggarwal, Pramod K., Ahmed, Mukhtar, Balkovič, Jurajb, Basso, Bruno, Biernath, Christian, Bindi, Marco, Cammarano, Davide, De Sanctis, Giacomo, Dumont, Benjamin, Espadafor, Mónica, Rezaei, Ehsan Eyshi, Ferrise, Roberto, García Vila, Margarita, Gayler, Sebastian, Gao, Yujing, Horan, Heidi, Hoogenboom, Gerrit, Izaurralde, Roberto C., Jones, Curtis D., Kassie, Belay T., Kersebaum, Kurt C., Klein, Christian, Koehler, Ann-Kristin, Maiorano, Andrea, Minoli, Sara, Montesino San Martin, Manuel, Kumar, Soora Naresh, Nendel, Claas, O'Leary, Garry, Palosuo, Taru, Priesack, Eckart, Ripoche, Dominique, Rötter, Reimund P., Semenov, Mikhail A., Stöckle, Claudio, Streck, Thilo, Supit, Iwan, Tao, Fulu, Van der Velde, Marijn, Wallach, Daniel, Wang, Enli, Webber, Heidi, Wolf, Joost, Xiao, Liujun, Zhang, Zhao, Zhao, Zhigan, Zhu, Yan, and Asseng, Senthold
Abstract: Efforts to limit global warming to below 2°C in relation to the pre‐industrial level are under way, in accordance with the 2015 Paris Agreement. However, most impact research on agriculture to date has focused on impacts of warming >2°C on mean crop yields, and many previous studies did not focus sufficiently on extreme events and yield interannual variability. Here, with the latest climate scenarios from the Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) project, we evaluated the impacts of the 2015 Paris Agreement range of global warming (1.5 and 2.0°C warming above the pre‐industrial period) on global wheat production and local yield variability. A multi‐crop and multi‐climate model ensemble over a global network of sites developed by the Agricultural Model Intercomparison and Improvement Project (AgMIP) for Wheat was used to represent major rainfed and irrigated wheat cropping systems. Results show that projected global wheat production will change by −2.3% to 7.0% under the 1.5°C scenario and −2.4% to 10.5% under the 2.0°C scenario, compared to a baseline of 1980–2010, when considering changes in local temperature, rainfall, and global atmospheric CO2 concentration, but no changes in management or wheat cultivars. The projected impact on wheat production varies spatially; a larger increase is projected for temperate high rainfall regions than for moderate hot low rainfall and irrigated regions. Grain yields in warmer regions are more likely to be reduced than in cooler regions. Despite mostly positive impacts on global average grain yields, the frequency of extremely low yields (bottom 5 percentile of baseline distribution) and yield inter‐annual variability will increase under both warming scenarios for some of the hot growing locations, including locations from the second largest global wheat producer—India, which supplies more than 14% of global wheat. The projected global impact of warming <2°C on wheat production is therefore not
Published: 2019

10. Invited review: Nitrogen in ruminant nutrition: A review of measurement techniques

Author: Natural Resources Institute Finland, Ministry of Agriculture, Nature and Food Quality (The Netherlands), CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), National Institute of Food and Agriculture (US), Pennsylvania State University, Federal Office for Agriculture (Switzerland), Hristov, A. N., Bannink, A., Crompton, L. A., Huhtanen, P., Kreuzer, M., McGee, M., Nozière, P., Reynolds, C. K., Bayat, A.R., Yáñez Ruiz, David R., Dijkstra, J., Kebreab, E., Schwarm, A., Shingfield, K. J., Yu, Z., Natural Resources Institute Finland, Ministry of Agriculture, Nature and Food Quality (The Netherlands), CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), National Institute of Food and Agriculture (US), Pennsylvania State University, Federal Office for Agriculture (Switzerland), Hristov, A. N., Bannink, A., Crompton, L. A., Huhtanen, P., Kreuzer, M., McGee, M., Nozière, P., Reynolds, C. K., Bayat, A.R., Yáñez Ruiz, David R., Dijkstra, J., Kebreab, E., Schwarm, A., Shingfield, K. J., and Yu, Z.
Abstract: Nitrogen is a component of essential nutrients critical for the productivity of ruminants. If excreted in excess, N is also an important environmental pollutant contributing to acid deposition, eutrophication, human respiratory problems, and climate change. The complex microbial metabolic activity in the rumen and the effect on subsequent processes in the intestines and body tissues make the study of N metabolism in ruminants challenging compared with nonruminants. Therefore, using accurate and precise measurement techniques is imperative for obtaining reliable experimental results on N utilization by ruminants and evaluating the environmental impacts of N emission mitigation techniques. Changeover design experiments are as suitable as continuous ones for studying protein metabolism in ruminant animals, except when changes in body weight or carryover effects due to treatment are expected. Adaptation following a dietary change should be allowed for at least 2 (preferably 3) wk, and extended adaptation periods may be required if body pools can temporarily supply the nutrients studied. Dietary protein degradability in the rumen and intestines are feed characteristics determining the primary AA available to the host animal. They can be estimated using in situ, in vitro, or in vivo techniques with each having inherent advantages and disadvantages. Accurate, precise, and inexpensive laboratory assays for feed protein availability are still needed. Techniques used for direct determination of rumen microbial protein synthesis are laborious and expensive, and data variability can be unacceptably large; indirect approaches have not shown the level of accuracy required for widespread adoption. Techniques for studying postruminal digestion and absorption of nitrogenous compounds, urea recycling, and mammary AA metabolism are also laborious, expensive (especially the methods that use isotopes), and results can be variable, especially the methods based on measurements of digesta
Published: 2019

11. Catastrophic yield risks and the demand for crop insurance in Finland

Author: Helsingin yliopisto, maatalous-metsätieteellinen tiedekunta, taloustieteen laitos, Helsingfors universitet, agrikultur-forstvetenskapliga fakulteten, institutionen för ekonomi, University of Helsinki, Faculty of Agriculture and Forestry, Department of Economics and Management, Natural Resources Institute Finland (Luke), Liesivaara, Petri, Helsingin yliopisto, maatalous-metsätieteellinen tiedekunta, taloustieteen laitos, Helsingfors universitet, agrikultur-forstvetenskapliga fakulteten, institutionen för ekonomi, University of Helsinki, Faculty of Agriculture and Forestry, Department of Economics and Management, Natural Resources Institute Finland (Luke), and Liesivaara, Petri
Abstract: The emphasis in crop damage compensation in the EU is moving from government-run programmes and disaster relief to insurances based on public private partnership (PPP). Before 2015 member states had the opportunity to finance crop insurance premium subsidies from national budget under Article 68 of Pillar one regulation. From 2015 onwards, member states have had the option to co-finance premium subsidies with the EU under the conditions defined in the regulation (EU) No 1305/2013 on support for rural development. A publicly funded and administered Crop Damage Compensation (CDC) scheme was designed to cover yield losses in Finland. As a result of European Commission objection and obvious deficiencies in the CDC system, the programme was abolished in the end of 2015. The objetives of this thesis were to 1) study farmers preferences and willingness to pay (WTP) for crop insurance attributes, 2) reveal the effects of the price anchoring problem in crop insurance, 3) provide guidelines for government disaster relief in combination with crop insurances, 4) investigate the factors underlying crop insurance uptake and 5) study the feasibility of index crop insurance based on area yields in Finland. The research results were expected to benefit farmers, the government and insurance companies. An extensive farm survey was conducted to reveal Finnish farmers demand and WTP for crop insurance. Choice Experiment (CE) method was used. In addition, a split sample approach was applied to the price anchoring problem and to examine the effect of government disaster relief on crop insurance schemes. The obtained results revealed that there is demand for crop insurance in Finland. An insurance product was chosen in 46.5% of the cases in the entire CE dataset. Price of insurance is the main factor affecting the choice to insure and the demand was found to be inelastic over the whole price range. The median WTP of Finnish farmers for a 10% increase in the deductible was -1.60 Euros/ha, a, Painopiste satovahinkojen korvaamisesta on Euroopan unionissa (EU) siirtymässä katastrofiavusta satovakuutuksiin ja satovakuutusmaksujen valtion tukeen. Ennen vuotta 2015 satovakuutuksia on voinut tukea kansallisesta budjetista osana YMP:n ensimmäistä pilaria. Vuodesta 2015 alkaen jäsenvaltioilla on ollut mahdollisuus ottaa käyttöön EU:n ja jäsenmaiden yhteisesti rahoittaman asetuksen (EU) No 1305/2015 mukaisen vakuutusmaksutuen osana maaseudun kehittämistä. Suomessa julkisesti rahoitettu ja hallinnoitu satovahinkojen korvausjärjestelmä oli suunniteltu kattamaan viljelijöiden satomenetykset. Euroopan komission vastustuksen ja järjestelmän ilmeisten puutteiden vuoksi ohjelma lakkautettiin vuonna 2015. Tämän tutkimuksen tavoitteena oli 1) selvittää viljelijöiden preferenssit ja maksuhalukkuus satovakuutuksista, 2) paljastaa hinta-ankkuroinnin vaikutus maksuhalukkuuteen, 3) antaa suosituksia valtion katastrofiavulle, 4) tutkia satovakuutuksen ostamiseen vaikuttavia tekijöitä ja 5) tutkia aluesatoihin perustuvan indeksivakuutuksen toimivuutta Suomessa. Tutkimusaineisto kerättiin viljelijäkyselyllä kysynnän ja viljelijöiden maksuhalukkuuden selvittämiseksi. Tutkimuksessa sovellettiin valintakoemenetelmää. Tutkimustulokset osoittivat, että satovakuutuksille on kysyntää Suomessa. Vakuutustuote valittiin 46,5 % tapauksista koko valintakoeaineistossa. Vakuutustuotteiden kysyntä riippuu tuotteiden hinnasta, mutta hintajousto on pieni koko hintavälillä. Suomalaisten viljelijöiden maksuhalukkuuden mediaani omavastuun kasvattamisesta 10 prosentilla oli -1,60 euroa. Odotettavissa olevien korvausten mediaani maksuhalukkuus oli 3,40 euroa, kun korvausta korotettiin 100 eurolla/hehtaari. Tulokset viittaavat siihen, että Suomessa kehittymässä oleviin satovakuutusten markkinoihin vaikuttaa tieto satovakuutusten hintatasosta. Tutkimuksessa myös havaittiin, että valtion tarjoama katastrofiapu pienentää viljelijöiden maksuhalukkuutta satovakuutuksista. Useat viljelijää ja maatilaa koskev
Published: 2017

12. The Finnish Organic Food Chain : Modelling towards 2020 goals with change and innovation

Author: Helsingin yliopisto, käyttäytymistieteellinen tiedekunta, käyttäytymistieteiden laitos, Helsingfors universitet, beteendevetenskapliga fakulteten, institutionen för beteendevetenskaper, University of Helsinki, Faculty of Behavioural Sciences, Institute of Behavioural Sciences, Natural Resources Institute Finland, Finnish Organic Research Institute, Nuutila, Jaakko, Helsingin yliopisto, käyttäytymistieteellinen tiedekunta, käyttäytymistieteiden laitos, Helsingfors universitet, beteendevetenskapliga fakulteten, institutionen för beteendevetenskaper, University of Helsinki, Faculty of Behavioural Sciences, Institute of Behavioural Sciences, Natural Resources Institute Finland, Finnish Organic Research Institute, and Nuutila, Jaakko
Abstract: Jaakko Nuutila The Finnish organic food chain - Modelling towards 2020 goals with change and innovation The current Finnish food chain generates negative externalities for the environment, human beings and animals. Organic food and its production represent an alternative that aims at reducing those externalities. Such an approach is supported by international authorities, and features in Finnish government goals that are intended to diminish these externalities, among others, by increasing the share of organic production. None of the goals previously set by the Finnish authorities for the organic sector have been reached, and this also applies to the target for 2020 according to trends in organic production and expanding market share in Finland. Several other European Union countries are making more significant progress in this regard in comparison with Finland. This thesis proposes a Finnish food chain model tackling the challenging aim to enable the government goals for organic food and its production to be reached. Simultaneously, it may enhance greater sustainability, with benefits to society and enhanced profitability for those enterprises acting for the common good. The model combines three theories: Activity Theory for the model with its elements, Economy of Common Good for the values and Co-creation for the collaboration of the food chain actors that pertain to the model. A change from the current to the suggested model, generating the desired outcomes, can be possible if a path of certain actions based on the principles of the Finnish national innovation system is followed. Organic food and its production need to be recognized (legitimacy) and integrated into strategic development and research topics, in Finland, for development in this area to be sufficient to reach the goals set. The findings in this thesis and its four component articles link to the associated theories that gain support from the literature on the food system. The suggested food chain mod, Jaakko Nuutila Suomen luonnonmukainen ruokaketju - Mallintaen kohti 2020 tavoitteita muutoksen ja innovaation avulla Suomen tämänhetkinen ruokaketju aiheuttaa haittavaikutuksia ympäristölle, ihmisille ja eläimille. Luonnonmukainen tuotanto ja ruoka edustavat vaihtoehtoista toimintatapaa, jonka tavoitteena on voida vähentää näitä negatiivisiksi ulkoisvaikutuksiksi nimettyjä haittavaikutuksia. Tätä ajattelutapaa puoltavat useat kansainväliset toimijat sekä myös Suomen hallituksen asettamat tavoitteet, joiden tehtävänä on vähentää näitä haittavaikutuksia mm. lisäämällä luonnonmukaisen tuotannon osuutta. Aiempia luonnonmukaiselle tuotannolle asetettuja tavoitteita ei ole saavutettu ja tämänhetkisten tuotantoala- ja markkinaosuustrendien perusteella ei vuodelle 2020 asetetut tavoitteet näytä realistisilta. Useat Euroopan yhteisön jäsenmaat kehittyvät näissä asioissa Suomea huomattavasti paremmin. Tämä väitöskirja esittelee suomalaisen ruokaketjun mallia, joka voisi auttaa saavuttamaan hallituksen luonnonmukaiselle tuotannolle ja ruoalle asettamat haastavat tavoitteet. Samanaikaisesti se lisäisi kestävyyttä, mikä hyödyttäisi koko yhteiskuntaa sekä parantaisi ruokaketjussa yhteishyvän talouden mukaan toimivien yritysten kannattavuutta. Malli yhdistää kolme teoriaa: toiminnan teoria tuo siihen mallin elementteineen, yhteishyvän talouden kautta toiminta saa arvot ja yhteiskehittely lisää ruokaketjun toimijoiden välistä yhteistyötä johtaen mallin syntymiseen. Muutos nykyisestä ruokaketjun mallista uuteen, tässä työssä ehdotettuun malliin, joka johtaa haluttujen tulosten saavuttamiseen, on mahdollista, mikäli noudatetaan toimenpiteitä, jotka perustuvat Suomen innovaatiojärjestelmään. Luonnonmukainen tuotantotapa tulee tunnustaa (legitimiteetti) suomalaisessa yhteiskunnassa ja se tulee saattaa osaksi tutkimus- ja kehitysstrategioita, jotta niille asetetut tavoitteet voidaan saavuttaa. Ehdotettu suomalaisen ruokaketjun malli perustuu raportteihin, teorioihin ja empiirisiin tutki
Published: 2016

13. From carbon source to sink - Managing agriculture for climate change mitigation and food production in Ethiopia

Author: Helsingin yliopisto, maatalous-metsätieteellinen tiedekunta, maataloustieteiden laitos, Helsingfors universitet, agrikultur-forstvetenskapliga fakulteten, institutionen för lantsbruksvetenskaper, University of Helsinki, Faculty of Agriculture and Forestry, Department of Agricultural Sciences, Natural Resources Institute Finland (LUKE), Rimhanen, Karoliina, Helsingin yliopisto, maatalous-metsätieteellinen tiedekunta, maataloustieteiden laitos, Helsingfors universitet, agrikultur-forstvetenskapliga fakulteten, institutionen för lantsbruksvetenskaper, University of Helsinki, Faculty of Agriculture and Forestry, Department of Agricultural Sciences, Natural Resources Institute Finland (LUKE), and Rimhanen, Karoliina
Abstract: Sub-Saharan Africa (SSA) is one of the world´s most vulnerable regions to climate change. Even though the proportion of greenhouse gas emissions produced in SSA is low, the agricultural sector has an enormous potential for climate change mitigation. The aim here is to increase understanding of the potential of climate change mitigation to enhance food security. The focus of the study is to identify the determinants of this potential, to estimate the possibilities to increase the proportion of carbon ending up in soil and to quantify the soil carbon sequestration potential of agroecological practices in Ethiopia. Identification of the determinants of the potential of climate change mitigation to enhance food security was based on in-depth interviews and focus group discussions. The assessment of carbon flows was based on interviews and sampling. Material flow analysis and carbon balance counting was used for tracking the carbon flows and for estimating the carbon losses. Quantification of the carbon sequestration potential of the agroecological practices was based on comparison of the existing plot pairs, including a plot with an agroecological practice and an adjacent plot with a traditional practice. Soil carbon sequestration in agricultural soil was considered as the most important means to promote climate change mitigation and to enhance food security. The primary factors enhancing food security were perceived to be increasing agricultural productivity and incomes from marketed crops. On the Ethiopian farms, 8 12% of the total harvested carbon was used for soil and 9 16% for food. The largest carbon losses were due to biomass burning and livestock metabolism. The proportion of carbon used for soil could mainly be increased by reducing gaseous losses. Agroforestry led to 11.4 t ha-1, restrained grazing to 9.6 t ha-1 and terracing to 1.7 t ha-1 greater soil carbon stock than did their control plots. The estimates are higher than those based on process-modelling stu, Saharan eteläpuolinen Afrikka on yksi haavoittuvimpia alueita ilmastonmuutokselle. Vaikka osuus kasvihuonekaasujen tuottajana on maailmanlaajuisesti pieni, sisältää alueen maataloussektori suuren ilmastonmuutoksen hillintäpotentiaalin. Tämän väitöskirjan päämäärä on lisätä ymmärrystä ilmastonmuutoksen hillinnän mahdollisuuksista edistää ruokaturvaa. Tutkimuksen tavoitteet ovat tunnistaa tekijät, jotka vaikuttavat hillinnän mahdollisuuksiin edistää ruokaturvaa, arvioida mahdollisuuksia lisätä maahan päätyvän hiilen osuutta sekä arvioida agroekologisten menetelmien maaperän hiilensidontapotentiaalia Etiopiassa. Ilmastonmuutoksen hillinnän ruokaturvaan vaikuttavien tekijöiden tunnistaminen perustui syvähaastatteluihin ja fokusryhmäkeskusteluihin. Hiilivirtojen arviointi perustui haastatteluihin ja näytteenottoon. Hiilivirtojen jäljittämiseksi ja hiilen hävikkien arvioimiseksi hyödynnettiin materiaalivirta-analyysiä ja hiilitaselaskentaa. Arviot hiilensidontapotentiaalista perustuivat olemassa olevien, agroekologisin ja perinteisin menetelmin viljeltyjen lohkojen hiilivarastojen koon vertailuun. Tärkeimpänä ilmastonmuutoksen hillintää ja ruokaturvaa edistävänä keinona pidettiin maatalousmaan hiilensidontaa. Ensisijaisina ruokaturvaa edistävinä tekijöinä pidettiin maan tuottavuuden kasvattamista ja markkinoitavasta sadosta saatavia tuloja. Viljelyjärjestelmissä korjatusta hiilestä 8 12 % päätyi maahan ja 9 16 % ruokaan. Suurimmat hiilen hävikit syntyivät biomassan poltosta ja kotieläinten aineenvaihdunnasta. Maahan käytettävää hiiltä voitaisiin lisätä vähentämällä kaasumaisia hiilen hävikkejä järjestelmästä. Peltometsäviljelyllä saavutettiin 11.4 t ha-1, vapaan laidunnuksen rajoittamisella 9.6 t ha-1 ja viljellyillä terasseilla 1.7 t ha-1 suurempi maan hiilivarasto kontrollilohkoihin verrattuna. Arviot ovat suuremmat kuin aikaisemmin prosessimalleihin perustuvat julkaisut. Ero johtunee siitä, että mallit on kehitetty Itä-Afrikan olosuhteisin nähden poikkeavissa olosuhtei
Published: 2016

14. Home-grown grain legumes in poultry diets

Author: Helsingin yliopisto, maatalous-metsätieteellinen tiedekunta, maataloustieteiden laitos, Helsingfors universitet, agrikultur-forstvetenskapliga fakulteten, institutionen för lantsbruksvetenskaper, University of Helsinki, Faculty of Agriculture and Forestry, Department of Agricultural Sciences, Natural Resources Institute Finland (Luke), Koivunen, Erja, Helsingin yliopisto, maatalous-metsätieteellinen tiedekunta, maataloustieteiden laitos, Helsingfors universitet, agrikultur-forstvetenskapliga fakulteten, institutionen för lantsbruksvetenskaper, University of Helsinki, Faculty of Agriculture and Forestry, Department of Agricultural Sciences, Natural Resources Institute Finland (Luke), and Koivunen, Erja
Abstract: Four experiments were conducted to find appropriate inclusion levels of pea (Pisum sativum L.) and faba bean (Vicia faba L.) (FB) seeds as a substitute for soybean meal (SBM) in poultry diets. The inclusion levels tested for pea (cv. Karita) were 100, 200 and 300 g/kg in layer diet and 150, 300 and 450 in broiler diet and for FB (cv. Kontu) 50 and 100 g/kg in layer diet and 80, 160 and 240 g/kg in broiler diet. The effect of a specific enzyme cocktail for improving the nutritive value of wheat-pea diets was also investigated in broilers. The fifth experiment was conducted to determine the apparent metabolizable energy (AME) value and the coefficients apparent ileal digestibility (CAID) of nutrients of the seeds of two peas (cv. Karita and cv. Sohvi), two FBs (cv. Kontu and cv. Ukko), and one blue lupin (Lupinus angustifolius) (cv. Pershatsvet) in broilers. Each grain legumes contained less protein than soybean SBM did. Pea inclusion up to 300 g/kg had no effect on egg production or egg quality. Pea inclusion of 150 g/kg improved the growth of broilers, while pea inclusions 300 and 450 g/kg had no effect on growth. Feed conversion ratio (FCR) of broilers was similar between control treatment and treatment with pea inclusions 450 g/kg. The use of enzyme cocktail improves the nutritive value of wheat in the diet. FB inclusion decreased egg weight. Egg mass production decreased and FCR increased when FB proportion increased. FB inclusion had no effect on egg quality. Broilers growth and feed consumption decreased and FCR improved in a linear manner along FB inclusion. The CAID of protein was higher in peas and lupin than in FB cv. Kontu. Most of CAID values of amino acids (AA) followed the pattern shown by the CAID of protein. AAs in peas were well digested. The AAs were averagely digested in FBs with the exception of cysteine, which was poorly digested. The AAs were averagely digested in lupin. The AME for pea cv. Karita was higher than those of pea cv. Sohvi and FBs c, Soijarouhe on eniten käytetty valkuaisrehu siipikarjan ruokinnassa. Suomessa, jossa soijaa (Glycine max) ei voida viljellä tai sen viljely ei ole taloudellisesti kannattavaa, pyritään parempaan valkuaisomavaraisuuteen ja riippumattomuuteen maahan tuodusta soijasta. Yksi tehokkaimmista keinoista saavuttaa tavoite paremmasta valkuaisomavaraisuudesta on lisätä palkoviljojen viljelyä ja niiden käyttöä kotieläinten rehuna. Tämän väitöskirjan tavoitteena oli lisätä tietoutta kotimaisten palkoviljojen rehuarvosta ja käytöstä siipikarjanrehuna. Väitöskirjakokeissa selvitettiin, miten paljon kotimaista hernettä (Pisum sativum L.) ja härkäpapua (Vicia faba L.) voidaan käyttää munivien kanojen ja broilerien rehuissa ilman, että tuotantotulokset heikkenevät vilja-soijarouheruokintaan verrattuna. Lisäksi määritettiin hernelajikkeiden (Karita ja Sohvi), härkäpapulajikkeiden (Kontu ja Ukko) ja sinilupiinilajikkeen (Lupinus angustifolius) (Pershatsvet) sekä härkäpapudieettien näennäinen muuntokelpoinen energia ja ravintoaineiden näennäinen ohutsuolisulavuus broilereilla. Lisäksi tutkittiin voiko xylanaasia, amylaasia ja proteaasia sisältävä entsyymiyhdistelmä parantaa vehnä-hernerehujen käyttökelpoisuutta broilereilla. Herneiden energia-arvot ovat hyvät ja niiden aminohapot sulavat hyvin. Hernettä (Karita) voidaan käyttää ainakin 300 g/kg munivien kanojen rehuissa ja ainakin 450 g/kg broilerien rehuissa. Tutkittu entsyymiyhdistelmä paransi vehnän ravintoarvoa dieetissä, mikä näkyi broilerien parempina tuotantotuloksina. Härkäpapujen (Kontu ja Ukko) energia-arvot aminohappojen ohutsuolisulavuudet ovat keskinkertaiset. Lisäksi Kontu härkäpapu sisältää melko paljon haitta-aineiksi lueteltavia tanniineja, visiinia ja konvisiinia. Konnun käyttömäärä on tästä syystä rajoitettava 50 g/kg munivien kanojen rehuissa ja 160 g/kg broilerien rehuissa. Suuremmat härkäpapupitoisuudet (Kontu) dieetissä voivat pienentää munanpainoa, munantuotantoa, lisätä munivien kanojen kuolleisuutta ja heikentää
Published: 2016

15. Tree mortality in the dynamics and management of uneven-aged Norway spruce stands in southern Finland

Author: Lucie Aulus Giacosa, Juha Heikkinen, Sauli Valkonen, Natural Resources Institute Finland (LUKE), Ecologie Comportementale et Biologie des Populations de Poissons (ECOBIOP), Université de Pau et des Pays de l'Adour (UPPA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Natural Resources Institute Finland (Luke)
Subjects: 010504 meteorology & atmospheric sciences, Uneven-aged management, Plant Science, Biology, 01 natural sciences, Stand structure, Basal area, Mortality, Silviculture, 0105 earth and related environmental sciences, 040101 forestry, Picea abies, Forestry, 04 agricultural and veterinary sciences, 15. Life on land, biology.organism_classification, Snow, Plant ecology, Stand dynamics, [SDE]Environmental Sciences, 0401 agriculture, forestry, and fisheries, Selection method, Tree (set theory), [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract: This study focused on tree mortality in spruce-dominated stands managed using the single-tree selection method in southern Finland. Together with regeneration and tree growth, mortality is one of the basic elements of the stand structure and dynamics in selection stands. The study was based on data acquired from a set of 20 permanent experimental plots monitored with repeated measurements for 20 years. The average mortality in the number of stems (N) was 4.45 trees ha−1a−1, in basal area (G) 0.07 m2 ha−1a−1, and in stemwood volume (V) 0.56 m3 ha−1a−1. In relative terms it was 0.50% of N, 0.30% of G and 0.27% of V, respectively. Wind and snow were the most common causes of mortality, while deaths by biotic causes (mammals, insects, pathogens) were extremely rare. Some 6–10% of the total loss in the number of stems and volume was attributable to the loss or removal of trees that sustained serious damage in harvesting. Most of the mortality occurred in the smallest diameter classes of up to 20 cm. Such a high mortality among small trees can have an adverse influence on the sustainability of selection structures if not successfully checked in harvesting and management.
Published: 2020
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16. Scalable Crop Yield Prediction with Sentinel-2 Time Series and Temporal Convolutional Network

Author: Yli-Heikkila, Maria, Wittke, Samantha, Luotamo, Markku, Puttonen, Eetu, Sulkava, Mika, Pellikka, Petri, Heiskanen, Janne, Klami, Arto, Maanmittauslaitos, National Land Survey of Finland, Natural Resources Institute Finland, Department of Built Environment, University of Helsinki, Natural Resources Institute Finland (Luke), Aalto-yliopisto, and Aalto University
Subjects: GRAIN-YIELD, crop production statistics, WHEAT YIELD, RANDOM FORESTS, MODEL, remote sensing, LAND-COVER, machine learning, PHENOLOGY, PROGRAM, yield forecasts, time series, CLOUD DETECTION, object-based, SATELLITE, INDEX, agriculture
Abstract: One of the precepts of food security is the proper functioning of the global food markets. This calls for open and timely intelligence on crop production on an agroclimatically meaningful territorial scale. We propose an operationally suitable method for large-scale in-season crop yield estimations from a satellite image time series (SITS) for statistical production. As an object-based method, it is spatially scalable from parcel to regional scale, making it useful for prediction tasks in which the reference data are available only at a coarser level, such as counties. We show that deep learning-based temporal convolutional network (TCN) outperforms the classical machine learning method random forests and produces more accurate results overall than published national crop forecasts. Our novel contribution is to show that mean-aggregated regional predictions with histogram-based features calculated from farm-level observations perform better than other tested approaches. In addition, TCN is robust to the presence of cloudy pixels, suggesting TCN can learn cloud masking from the data. The temporal compositing of information do not improve prediction performance. This indicates that with end-to-end learning less preprocessing in SITS tasks seems viable.
Published: 2022

17. The chaos in calibrating crop models:Lessons learned from a multi-model calibration exercise

Author: Eckart Priesack, Johannes Wilhelmus Maria Pullens, Heidi Horan, Anne Klosterhalfen, Elisabet Lewan, Marco Moriondo, Emmanuelle Gourdain, Roberto Ferrise, Tobias K. D. Weber, Camilla Dibari, Neil M.J. Crout, Daniel Wallach, Amir Souissi, Jing Wang, Eric Justes, Kurt Christian Kersebaum, Benjamin Dumont, Mohamed Jabloun, Niels Schütze, Qi Jing, G. Padovan, Bernardo Maestrini, Steven Hoek, Mingxia Huang, Sebastian Gayler, Giacomo Trombi, Gerrit Hoogenboom, Qunying Luo, Jørgen E. Olesen, Chuang Zhao, Evelyn Wallor, Per-Erik Jansson, Tommaso Stella, Peter J. Thorburn, Santosh Hiremath, Arne Poyda, Thomas Wöhling, Amit Kumar Srivastava, Thomas Gaiser, Sabine J. Seidel, Budong Qian, Vakhtang Shelia, Henrike Mielenz, Afshin Ghahramani, Allard de Wit, Senthold Asseng, Fety Andrianasolo, Bruno Basso, Liujun Xiao, Zvi Hochman, Taru Palosuo, Yan Zhu, Marie Launay, Cécile Garcia, Xenia Specka, Thilo Streck, Lutz Weihermüller, Hasti Nariman Zadeh, Samuel Buis, AGroécologie, Innovations, teRritoires (AGIR), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Natural Resources Institute Finland (LUKE), CSIRO Agriculture and Food (CSIRO), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), ARVALIS - Institut du végétal [Paris], ARVALIS - Institut du Végétal [Boigneville], University of Florida [Gainesville] (UF), Michigan State University [East Lansing], Michigan State University System, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Nottingham, UK (UON), Department of Agriculture, Food, Environment and Forestry (DAGRI), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Gembloux Agro-Bio Tech [Gembloux], Université de Liège, Institute of Crop Science and Resource Conservation [Bonn] (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, University of Hohenheim, University of Southern Queensland (USQ), Aalto University School of Science and Technology [Aalto, Finland], Wageningen University and Research [Wageningen] (WUR), China Agricultural University (CAU), Royal Institute of Technology [Stockholm] (KTH ), Agriculture and Agri-Food Canada, Saskatoon Research Centre, Agriculture and Agri-Food [Ottawa] (AAFC), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Global Change Research Institute (CAS), Institute of Bio- and Geosciences [Jülich] (IBG), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Agroclim (AGROCLIM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Swedish University of Agricultural Sciences (SLU), Hillridge Technology Pty Ltd, Julius Kühn-Institut - Federal Research Centre for Cultivated Plants (JKI), Institute of Bioeconomy (IBE), Consiglio Nazionale delle Ricerche (CNR), Aarhus University [Aarhus], Kiel University, Helmholtz-Zentrum München (HZM), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Université de Carthage - University of Carthage, Helmholtz-Gemeinschaft = Helmholtz Association, Lincoln Agritech Ltd, Nanjing Agricultural University, Collaborative Research Center 1253 CAMPOS (Project 7: Stochastic Modelling Framework), funded by the German Research Foundation (DFG, Grant Agreement SFB 1253/1 2017), Academy of Finland through projects AICropPro (316172) and DivCSA (316215), National Science Foundation for Distinguished Young Scholars (31725020), Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), China Scholarship Council, Agriculture and Agri-Food Canada's Project 1387 under the Canadian Agricultural Partnership, DFG Research Unit FOR 1695 ‘Agricultural Landscapes under Global Climate Change – Processes and Feedbacks on a Regional Scale, U.S. Department of Agriculture National Institute of Food and Agriculture (award no. 2015-68007-23133) and USDA/NIFA HATCH grant N. MCL02368, National Key Research and Development Program of China (2016YFD0300105), Broadacre Agriculture Initiative, a research partnership between University of Southern Queensland and the Queensland Department of Agriculture and Fisheries, Academy of Finland through project AI-CropPro (315896), JPI FACCE MACSUR2 project, funded by the Italian Ministry for Agricultural, Food, and Forestry Policies (D.M. 24064/7303/15 of 6/Nov/2015), Natural Resources Institute Finland (Luke) through a strategic project BoostIA, BonaRes project 'Soil3' (BOMA 03037514) of the Federal Ministry of Education and Research (BMBF), Germany, Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC 2070 – 390732324 EXC (PhenoRob), Project BiomassWeb of the GlobeE programme (Grant number: FKZ031A258B) funded by the Federal Ministry of Education and Research (BMBF, Germany), INRA ACCAF meta-programme, German Federal Ministry of Education and Research (BMBF) in the framework of the funding measure 'Soil as a Sustainable Resource for the Bioeconomy – BonaRes', project 'BonaRes (Module B): BonaRes Centre for Soil Research, subproject B' (grant 031B0511B), and National Key Research and Development Program of China (2017YFD0300205)
Subjects: Earth Observation and Environmental Informatics, Environmental Engineering, 010504 meteorology & atmospheric sciences, Computer science, Process (engineering), Process-based models, Model parameters, Machine learning, computer.software_genre, 01 natural sciences, paramètre, Software, F01 - Culture des plantes, Component (UML), Aardobservatie en omgevingsinformatica, Calibration, Parameter estimation, Applied Ecology, 0105 earth and related environmental sciences, U10 - Informatique, mathématiques et statistiques, Modélisation des cultures, business.industry, Estimation theory, Ecological Modeling, Toegepaste Ecologie, Calibration recommendations, Experimental data, 04 agricultural and veterinary sciences, PE&RC, [STAT]Statistics [stat], CHAOS (operating system), Phenology, Calibration Recommendations, Process-based Models, Parameter Estimation, [SDE]Environmental Sciences, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Artificial intelligence, ddc:004, Phénologie, Modèle végétal, business, computer
Abstract: International audience; Calibration, the estimation of model parameters based on fitting the model to experimental data, is among the first steps in many applications of process-based models and has an important impact on simulated values. We propose a novel method of developing guidelines for calibration of process-based models, based on development of recommendations for calibration of the phenology component of crop models. The approach was based on a multi-model study, where all teams were provided with the same data and asked to return simulations for the same conditions. All teams were asked to document in detail their calibration approach, including choices with respect to criteria for best parameters, choice of parameters to estimate and software. Based on an analysis of the advantages and disadvantages of the various choices, we propose calibration recommendations that cover a comprehensive list of decisions and that are based on actual practices.
Published: 2021
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18. Spatio‐temporal patterns of tree growth as related to carbon isotope fractionation in European forests under changing climate

Author: Michael Grabner, Tatjana Boettger, Sławomira Pawełczyk, Marika Haupt, V. R. Switsur, Adomas Vitas, Christina E. Reynolds-Henne, Michel Stievenard, Marek Krąpiec, Luigi Todaro, Neil J. Loader, Eloni Sonninen, Gerhard H. Schleser, Martin Weigl, Monique Pierre, Katja Rinne-Garmston, David Frank, Matthias Saurer, Isabel Dorado-Liñán, Malgorzata Szymaszek, Laia Andreu-Hayles, Tatiana A. Shestakova, Gerhard Helle, Markus Leuenberger, M. Filot, Hamid Marah, Emmi Hilasvuori, John S. Waterhouse, Kerstin Treydte, Anna Pazdur, Antonio Saracino, Jordi Voltas, Valérie Masson-Delmotte, Jan Esper, Rupert Wimmer, Valérie Daux, Zdzisław Bednarz, Högne Jungner, Octavi Planells, Maarit Kalela‐Brundin, Rūtilė Pukienė, Angelo Rita, Frank Berninger, Emilia Gutiérrez, Elżbieta Szychowska‐Kra̧piec, Shestakova, Ta, Voltas, J, Saurer, M, Berninger, F, Esper, J, Andreu-Hayles, L, Daux, V, Helle, G, Leuenberger, M, Loader, Nj, Masson-Delmotte, V, Saracino, Antonio, Waterhouse, J, Schleser, Gh, Bednarz, Z, Boettger, T, Dorado-Liñán, I, Filot, M, Frank, D, Grabner, M, Haupt, M, Hilasvuori, E, Jungner, H, Kalela-Brundin, M, Krąpiec, M, Marah, H, Pawełczyk, S, Pazdur, A, Pierre, M, Planells, O, Pukienė, R, Reynolds-Henne, Ce, Rinne, Kt, Rita, Angelo, Sonninen, E, Stiévenard, M, Switsur, Vr, Szychowska-Krąpiec, E, Szczepanek, M, Todaro, L, Treydte, K, Vitas, A, Weigl, M, Wimmer, R, Gutiérrez, E, Hickler, T., Rinne‐Garmston , Katja T., The Woods Hole Research Center, Woods Hole Oceanographic Institution (WHOI), Department of Crop and Forest Sciences, School of Agrifood and Forestry Science and Engineering (ETSEA), University of Lleida-Agrotecnio Center (UdL-Agrotecnio), Laboratory of Atmospheric Chemistry [Paul Scherrer Institute] (LAC), Paul Scherrer Institute (PSI), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Department of Forest Sciences [Helsinki], Faculty of Agriculture and Forestry [Helsinki], University of Helsinki-University of Helsinki, Department of Geography [Mainz], Johannes Gutenberg - Universität Mainz (JGU), Tree‐Ring Laboratory, Lamont–Doherty Earth Observatory of Columbia University, Palisades, New York, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Géochrononologie Traceurs Archéométrie (GEOTRAC), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Glaces et Continents, Climats et Isotopes Stables (GLACCIOS), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], Department of Geography [Swansea], Swansea University, University of Naples Federico II, Anglia Ruskin University (ARU), Institut für Bio- und Geowissenschaften [Jülich], Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Department of Forest Biodiversity, University of Agriculture in Krakow, Department of Isotope Hydrology, Helmholtz Centre for Environmental Research ‒ UFZ, Halle, Germany, Centro de Investigacion Forestal (INIA-CIFOR), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA), School of Geography and Development and Laboratory of Tree-Ring Research, University of Arizona, University of Natural Resources and Life Sciences (BOKU), Laboratory of Chronology, University of Helsinki, Helsinki, Finland, Forestry Museum, Lycksele, Sweden, AGH University of Science and Technology [Krakow, PL] (AGH UST), Laboratoire d'hydrologie isotopique, CNESTEN, Maroc., Chercheur indépendant, Silesian University of Technology, Department of Biological Evolution, Ecology and Environmental Sciences, University of Barcelona, Barcelona, Spain, The State Scientific Research Institute Nature Research Centre, Vilnius, Lithuania, Oeschger Centre for Climate Change Research (OCCR), University of Bern, Soil Ecosystems, Natural Resources Institute Finland (Luke), University of Basilicata, Department of Radioisotopes, Silesian University of Technology, Gliwice, Poland, Environmental Research Centre, Vytautas Magnus University, Kaunas, Lithuania, Holzforschung Austria, University of Natural Resources and Applied Life Sciences, IFA-Tulln, University of Barcelona, Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Johannes Gutenberg - Universität Mainz = Johannes Gutenberg University (JGU), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), University of Naples Federico II = Università degli studi di Napoli Federico II, Laboratory of Tree-Ring Research [University of Arizona] (LTRR), Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Natural Resources Institute Finland (LUKE), and Università degli studi della Basilicata [Potenza] (UNIBAS)
Subjects: 0106 biological sciences, Drought stress, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Climate change, Fractionation, 010603 evolutionary biology, 01 natural sciences, Panoply, Dendroecology, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Isotope fractionation, [SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry, Evapotranspiration, ddc:550, Ecosystem, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, Ecology, Evolution, Behavior and Systematics, 0105 earth and related environmental sciences, Global and Planetary Change, Ecology, [CHIM.ORGA]Chemical Sciences/Organic chemistry, Tree rings, Carbon isotopes, 15. Life on land, [SDE.ES]Environmental Sciences/Environmental and Society, Tree (data structure), [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology, 13. Climate action, Isotopes of carbon, [SDU.STU.ST]Sciences of the Universe [physics]/Earth Sciences/Stratigraphy, [SHS.ENVIR]Humanities and Social Sciences/Environmental studies, Environmental science, carbon isotopes, climate change, dendroecology, drought stress, European forests, latitudinal gradients, Pinus, Quercus, stomatal control, tree rings, European forests
Abstract: Aim The aim was to decipher Europe‐wide spatio‐temporal patterns of forest growth dynamics and their associations with carbon isotope fractionation processes inferred from tree rings as modulated by climate warming. Location Europe and North Africa (30‒70° N, 10° W‒35° E). Time period 1901‒2003. Major taxa studied Temperate and Euro‐Siberian trees. Methods We characterize changes in the relationship between tree growth and carbon isotope fractionation over the 20th century using a European network consisting of 20 site chronologies. Using indexed tree‐ring widths (TRWi), we assess shifts in the temporal coherence of radial growth across sites (synchrony) for five forest ecosystems (Atlantic, boreal, cold continental, Mediterranean and temperate). We also examine whether TRWi shows variable coupling with leaf‐level gas exchange, inferred from indexed carbon isotope discrimination of tree‐ring cellulose (Δ13Ci). Results We find spatial autocorrelation for TRWi and Δ13Ci extending over a maximum of 1,000 km among forest stands. However, growth synchrony is not uniform across Europe, but increases along a latitudinal gradient concurrent with decreasing temperature and evapotranspiration. Latitudinal relationships between TRWi and Δ13Ci (changing from negative to positive southwards) point to drought impairing carbon uptake via stomatal regulation for water saving occurring at forests below 60° N in continental Europe. An increase in forest growth synchrony over the 20th century together with increasingly positive relationships between TRWi and Δ13Ci indicate intensifying impacts of drought on tree performance. These effects are noticeable in drought‐prone biomes (Mediterranean, temperate and cold continental). Main conclusions At the turn of this century, convergence in growth synchrony across European forest ecosystems is coupled with coordinated warming‐induced effects of drought on leaf physiology and tree growth spreading northwards. Such a tendency towards exacerbated moisture‐sensitive growth and physiology could override positive effects of enhanced leaf intercellular CO2 concentrations, possibly resulting in Europe‐wide declines of forest carbon gain in the coming decades. Spanish Government, Grant/Award Number: AGL2015‐68274 ‐C3 ‐3‐R; Sixth Framework Programme, Grant/AwardNumber: EVK2‐2001 ‐00237; Seventh Framework Programme, Grant/AwardNumber: COST ‐STSM ‐ECOST ‐STSM ‐FP1304‐140915‐066395 and ERANET‐Mundus program (Grant agreement 20112573)
Published: 2019
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19. Climate change impact and adaptation for wheat protein

Author: Mohamed Jabloun, Pierre Martre, Garry O'Leary, Dominique Ripoche, Bruno Basso, Pramod K. Aggarwal, Daniel Wallach, Matthew P. Reynolds, Marijn van der Velde, John R. Porter, Heidi Webber, Enli Wang, Frank Ewert, Joost Wolf, Christian Klein, Belay T. Kassie, Christian Biernath, Margarita Garcia-Vila, M. Ali Babar, Pierre Stratonovitch, Yujing Gao, Glenn J. Fitzgerald, Davide Cammarano, Bing Liu, Peter J. Thorburn, Fulu Tao, Andrew J. Challinor, Reimund P. Rötter, Christine Girousse, Zhigan Zhao, Christoph Müller, Ann-Kristin Koehler, Jørgen E. Olesen, Elias Fereres, Iwan Supit, Andrea Maiorano, Marco Bindi, Sebastian Gayler, Kurt Christian Kersebaum, Giacomo De Sanctis, Alex C. Ruane, Rosella Motzo, Juraj Balkovic, Manuel Montesino San Martin, Roberto Ferrise, Mikhail A. Semenov, Claudio O. Stöckle, Soora Naresh Kumar, Gerrit Hoogenboom, Benjamin Dumont, Ehsan Eyshi Rezaei, Mukhtar Ahmed, Senthold Asseng, Thilo Streck, Yan Zhu, R. Cesar Izaurralde, Katharina Waha, Ahmed M. S. Kheir, Taru Palosuo, Liujun Xiao, Sara Minoli, Eckart Priesack, Heidi Horan, Curtis D. Jones, Francesco Giunta, Zhao Zhang, Claas Nendel, International Food Policy Research Institute (US), CGIAR (France), European Commission, Institut National de la Recherche Agronomique (France), National Natural Science Foundation of China, Federal Ministry of Food and Agriculture (Germany), Biotechnology and Biological Sciences Research Council (UK), Innovation Fund Denmark, China Scholarship Council, Ministero delle Politiche Agricole Alimentari e Forestali, Academy of Finland, Finnish Ministry of Agriculture and Forestry, Federal Ministry of Education and Research (Germany), Department of Agriculture and Water Resources (Australia), University of Melbourne, Grains Research and Development Corporation (Australia), National Institute of Food and Agriculture (US), German Research Foundation, Gorgan University, Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), European Food Safety Authority = Autorité européenne de sécurité des aliments, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-University = Georg-August-Universität Göttingen, Centre for Biodiversity and Sustainable Land-use [University of Göttingen] (CBL), Department of Economic Drt and Resources, Grains Innovation Park, Agriculture Victoria Research, Department of Economic Development, Jobs, Transport and Resources, Faculty of Veterinary and Agricultural Science [Melbourne], Génétique Diversité et Ecophysiologie des Céréales (GDEC), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Department of Agricultural Sciences, University of Naples Federico II = Università degli studi di Napoli Federico II, World Food Crops Breeding, Department of Agronomy, IFAS, University of Florida [Gainesville] (UF), International Maize and Wheat Improvement Center (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Soils, Water and Environment Research Institute, Agricultural Research Center (ARC), Agriculture and Food, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), International Maize and Wheat Improvement Centre [Inde] (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Biological Systems Engineering, University of Wisconsin-Madison, Department of Agronomy, University of El-Tarf, Ecosystem Services and Management Program, International Institute for Applied Systems Analysis (IIASA), Department of Soil Science, Faculty of Natural Sciences, Comenius University in Bratislava, W. K. Kellogg Biological Station (KBS), Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Department of Earth and Environmental Sciences [Ann Arbor], University of Michigan [Ann Arbor], University of Michigan System-University of Michigan System, Institute of Biochemical Plant Pathology, Research Center for Environmental Health, Helmholtz Zentrum München = German Research Center for Environmental Health, Department of Agri‐food Production and Environmental Sciences (DISPAA), Università degli Studi di Firenze = University of Florence (UniFI), The James Hutton Institute, Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, Collaborative Research Program from CGIAR and Future Earth on Climate Change, Agriculture and Food Security (CCAFS), International Center for Tropical Agriculture, GMO Unit, European Food Safety Authority, Department Terra & AgroBioChem, Gembloux Agro‐Bio Tech, Université de Liège, Institute of Crop Science and Resource Conservation [Bonn] (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Crop Sciences, Instituto de Agricultura Sostenible - Institute for Sustainable Agriculture (IAS CSIC), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Institute of Soil Science and Land Evaluation, University of Hohenheim, Food Systems Institute [Gainesville] (UF|IFAS), Department of Geographical Sciences, College Park, University of Maryland [College Park], University of Maryland System-University of Maryland System, Texas A and M AgriLife Research, Texas A&M University System, Department of Agroecology, Aarhus University [Aarhus], Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Institute of Biochemical Plant Pathology [Neuherberg], German Research Center for Environmental Health - Helmholtz Center München (GmbH), National Engineering and Technology Center for Information Agriculture, Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricutural University, Member of the Leibniz Association, Potsdam Institute for Climate Impact Research (PIK), Department of Plant and Environmental Sciences [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Centre for Environment Science and Climate Resilient Agriculture [New Delhi], Indian Agricultural Research Institute (IARI), Natural Resources Institute Finland (LUKE), Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of Lincoln, Agroclim (AGROCLIM), Institut National de la Recherche Agronomique (INRA), Rothamsted Research, Biotechnology and Biological Sciences Research Council (BBSRC), Water & Food and Water Systems & Global Change Group, Wageningen University and Research [Wageningen] (WUR), Institute of geographical sciences and natural resources research [CAS] (IGSNRR), Chinese Academy of Sciences [Beijing] (CAS), Joint Research Centre (IPTS), Commission Européenne, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), CSIRO Agriculture and Food (CSIRO), Plant Production Systems, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University (BNU), Department of Agronomy and Biotechnology, China Agricultural University (CAU), National Research Foundation for the Doctoral Program of Higher Education of China, Grant/Award Number: 20120097110042, International Food Policy, European Project: 267196,EC:FP7:PEOPLE,FP7-PEOPLE-2010-COFUND,AGREENSKILLS(2012), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Georg-August-University [Göttingen], Centre of Biodiversity and Sustainable Land Use (CBL), University of Göttingen - Georg-August-Universität Göttingen, University of Naples Federico II, Helmholtz-Zentrum München (HZM), Universtiy of Florence, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Natural Resources Institute Finland, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Wageningen University, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Agricultural & Biological Engineering Department, University of Florida [Gainesville], Georg-August-Universität Göttingen, University of Goettingen, Institut National de la Recherche Agronomique (INRA)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP), Research Program on Climate Change, Agriculture and Food Security, BISA‐CIMMYT, Consultative Group on International Agricultural Research (CGIAR), Comenius University [Bratislava], Helmholtz Zentrum München, Institute of Crop Science and Resource Conservation INRES, University of Bonn, IAS‐CSIC, Universidad de Cordoba, Institute for Sustainable Food Systems, Texas A&M AgriLife Research and Extension Center, Aarhus University, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), UE Agroclim (UE AGROCLIM), UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Wageningen University and Research Center (WUR), Beijing Normal University, and China Agricultural University
Subjects: [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, 0106 biological sciences, 010504 meteorology & atmospheric sciences, Water en Voedsel, 01 natural sciences, grain protein, adaptation au milieu, climate change adaptation, climate change impact, food security, wheat, Co2 concentration, adaptation to the environment, Triticum, General Environmental Science, 2. Zero hunger, changement climatique, Global and Planetary Change, Food security, Ecology, Temperature, food and beverages, Adaptation, Physiological, Droughts, Nitrogen, Climate Change, Climate change, 010603 evolutionary biology, blé, Crop production, Food Quality, Grain quality, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Environmental Chemistry, Grain Proteins, global change, 0105 earth and related environmental sciences, WIMEK, Water and Food, Global change, Carbon Dioxide, Models, Theoretical, 15. Life on land, Agronomy, 13. Climate action, Grain yield, Environmental science, Water Systems and Global Change, Protein concentration
Abstract: Wheat grain protein concentration is an important determinant of wheat quality for human nutrition that is often overlooked in efforts to improve crop production. We tested and applied a 32‐multi‐model ensemble to simulate global wheat yield and quality in a changing climate. Potential benefits of elevated atmospheric CO2 concentration by 2050 on global wheat grain and protein yield are likely to be negated by impacts from rising temperature and changes in rainfall, but with considerable disparities between regions. Grain and protein yields are expected to be lower and more variable in most low‐rainfall regions, with nitrogen availability limiting growth stimulus from elevated CO2. Introducing genotypes adapted to warmer temperatures (and also considering changes in CO2 and rainfall) could boost global wheat yield by 7% and protein yield by 2%, but grain protein concentration would be reduced by −1.1 percentage points, representing a relative change of −8.6%. Climate change adaptations that benefit grain yield are not always positive for grain quality, putting additional pressure on global wheat production., B.L received support from the International Food Policy Research Institute (IFPRI) through the Global Futures and Strategic Foresight project, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the CGIAR Research Program on Wheat. A.M. received support from the EU Marie Curie FP7 COFUND People Programme, through an AgreenSkills fellowship under grant agreement no. PCOFUND‐GA‐2010‐267196. PM, A.M., D.R., and D.W. acknowledge support from the FACCE JPI MACSUR project (031A103B) through the metaprogram Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA). L.X. and Y.Z. were supported by the National High‐Tech Research and Development Program of China (2013AA100404), the National Natural Science Foundation of China (31271616), the National Research Foundation for the Doctoral Program of Higher Education of China (20120097110042), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD). F.T. and Z.Z. were supported by the National Natural Science Foundation of China (41571088, 41571493 and 31561143003). R.R. received support from the German Ministry for Research and Education (BMBF) through project SPACES‐LLL. Rothamsted Research receives support from the Biotechnology and Biological Sciences Research Council (BBSRC) Designing Future Wheat programme [BB/P016855/1]. M.J. and J.E.O. were supported by Innovation Fund Denmark through the MACSUR project. L.X. and Y.G. acknowledge support from the China Scholarship Council. M.B and R.F. were funded by JPI FACCE MACSUR2 through the Italian Ministry for Agricultural, Food and Forestry Policies and thank A. Soltani from Gorgan Univ. of Agric. Sci. & Natur. Resour. for his support. R.P.R., T.P., and F.T. received financial support from the FACCE MACSUR project funded through the Finnish Ministry of Agriculture and Forestry (MMM) and from the Academy of Finland through the projects NORFASYS (decision nos. 268277 and 292944) and PLUMES (decision nos. 277403 and 292836). K.C.K. and C.N. received support from the German Ministry for Research and Education (BMBF) within the FACCE JPI MACSUR project. S.M. and C.M. acknowledge financial support from the MACMIT project (01LN1317A) funded through BMBF. G.J.O. and G.J.F. acknowledge support from the Victorian Department of Economic Development, Jobs, Transport and Resources, the Australian Department of Agriculture and Water Resources, The University of Melbourne and the Grains Research Development Corporation, Australia. P.K.A.'s work was implemented as part of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), which is carried out with support from the CGIAR Trust Fund and through bilateral funding agreements. For details please visit https://ccafs.cgiar.org/donors. The views expressed in this document cannot be taken to reflect the official opinions of these organizations.. B.B. received financial support from USDA NIFA‐Water Cap Award 2015‐68007‐23133. F.E. acknowledges support from the FACCE JPI MACSUR project through the German Federal Ministry of Food and Agriculture (2815ERA01J) and from the German Science Foundation (project EW 119/5‐1).
Published: 2019
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20. Global data on earthworm abundance, biomass, diversity and corresponding environmental properties

Author: Phillips, Helen R. P., Bach, Elizabeth M., Bartz, Marie L. C., Bennett, Joanne M., Beugnon, Rémy, Briones, Maria J. I., Brown, George G., Ferlian, Olga, Gongalsky, Konstantin B., Guerra, Carlos A., König-Ries, Birgitta, Krebs, Julia J., Orgiazzi, Alberto, Ramirez, Kelly S., Russell, David J., Schwarz, Benjamin, Wall, Diana H., Brose, Ulrich, Decaëns, Thibaud, Lavelle, Patrick, Loreau, Michel, Mathieu, Jérôme, Mulder, Christian, van der Putten, Wim H., Rillig, Matthias C., Thakur, Madhav P., de Vries, Franciska T., Wardle, David A., Ammer, Christian, Ammer, Sabine, Arai, Miwa, Ayuke, Fredrick O., Baker, Geoff H., Baretta, Dilmar, Barkusky, Dietmar, Beauséjour, Robin, Bedano, Jose C., Birkhofer, Klaus, Blanchart, Eric, Blossey, Bernd, Bolger, Thomas, Bradley, Robert L., Brossard, Michel, Burtis, James C., Capowiez, Yvan, Cavagnaro, Timothy R., Choi, Amy, Clause, Julia, Cluzeau, Daniel, Coors, Anja, Crotty, Felicity V., Crumsey, Jasmine M., Dávalos, Andrea, Cosín, Darío J. Díaz, Dobson, Annise M., Domínguez, Anahí, Duhour, Andrés Esteban, van Eekeren, Nick, Emmerling, Christoph, Falco, Liliana B., Fernández, Rosa, Fonte, Steven J., Fragoso, Carlos, Franco, André L. C., Fusilero, Abegail, Geraskina, Anna P., Gholami, Shaieste, González, Grizelle, Gundale, Michael J., López, Mónica Gutiérrez, Hackenberger, Branimir K., Hackenberger, Davorka K., Hernández, Luis M., Hirth, Jeff R., Hishi, Takuo, Holdsworth, Andrew R., Holmstrup, Martin, Hopfensperger, Kristine N., Lwanga, Esperanza Huerta, Huhta, Veikko, Hurisso, Tunsisa T., Iannone III, Basil V., Iordache, Madalina, Irmler, Ulrich, Ivask, Mari, Jesús, Juan B., Johnson-Maynard, Jodi L., Joschko, Monika, Kaneko, Nobuhiro, Kanianska, Radoslava, Keith, Aidan M., Kernecker, Maria L., Koné, Armand W., Kooch, Yahya, Kukkonen, Sanna T., Lalthanzara, H., Lammel, Daniel R., Lebedev, Iurii M., Le Cadre, Edith, Lincoln, Noa K., López-Hernández, Danilo, Loss, Scott R., Marichal, Raphael, Matula, Radim, Minamiya, Yukio, Moos, Jan Hendrik, Moreno, Gerardo, Morón-Ríos, Alejandro, Motohiro, Hasegawa, Muys, Bart, Neirynck, Johan, Norgrove, Lindsey, Novo, Marta, Nuutinen, Visa, Nuzzo, Victoria, Mujeeb Rahman, P., Pansu, Johan, Paudel, Shishir, Pérès, Guénola, Pérez-Camacho, Lorenzo, Ponge, Jean-François, Prietzel, Jörg, Rapoport, Irina B., Rashid, Muhammad Imtiaz, Rebollo, Salvador, Rodríguez, Miguel Á., Roth, Alexander M., Rousseau, Guillaume X., Rozen, Anna, Sayad, Ehsan, van Schaik, Loes, Scharenbroch, Bryant, Schirrmann, Michael, Schmidt, Olaf, Schröder, Boris, Seeber, Julia, Shashkov, Maxim P., Singh, Jaswinder, Smith, Sandy M., Steinwandter, Michael, Szlavecz, Katalin, Talavera, José Antonio, Trigo, Dolores, Tsukamoto, Jiro, Uribe-López, Sheila, de Valença, Anne W., Virto, Iñigo, Wackett, Adrian A., Warren, Matthew W., Webster, Emily R., Wehr, Nathaniel H., Whalen, Joann K., Wironen, Michael B., Wolters, Volkmar, Wu, Pengfei, Zenkova, Irina V., Zhang, Weixin, Cameron, Erin K., Eisenhauer, Nico, German Centre for Integrative Biodiversity Research (iDiv), Leipzig University, Saint Mary's University [Halifax], Colorado State University [Fort Collins] (CSU), University of Coimbra [Portugal] (UC), Martin-Luther-University Halle-Wittenberg, University of Canberra, Universidade de Vigo, Embrapa Forestry, Brazilian Agricultural Research Corporation (Embrapa), A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), Lomonosov Moscow State University (MSU), Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], European Commission - Joint Research Centre [Ispra] (JRC), Netherlands Institute of Ecology (NIOO-KNAW), University of Freiburg [Freiburg], Department of Biometry and Environmental System Analysis, Albert-Ludwigs-Universität Freiburg, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Station d'Ecologie Théorique et Expérimentale (SETE), Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Agrobiosciences, Interactions et Biodiversité (FR AIB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), University of Catania [Italy], Wageningen University and Research [Wageningen] (WUR), Freie Universität Berlin, Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam [Amsterdam] (UvA), Asian School of the Environment (ASE), Nanyang Technological University [Singapour], Georg-August-University = Georg-August-Universität Göttingen, National Agriculture and Food Research Organization (NARO), University of Nairobi (UoN), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Santa Catarina State University (UDESC), Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Université de Sherbrooke (UdeS), National University of Río Cuarto = Universidad Nacional de Río Cuarto (UNRC), Brandenburg University of Technology [Cottbus – Senftenberg] (BTU), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Cornell University [New York], University College Dublin [Dublin] (UCD), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Adelaide, University of Toronto, Ecologie et biologie des interactions (EBI), Université de Poitiers-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), ECT Oekotoxikologie GmbH, Institute of Biological, Environmental and Rural Sciences (IBERS), Biotechnology and Biological Sciences Research Council (BBSRC)-Aberystwyth University, Royal Agricultural University (RAU), University of Georgia [USA], State University of New York (SUNY), Department of Biodiversity, Ecology and Evolution [Madrid], Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Yale University [New Haven], Universidad Nacional de Luján [Buenos Aires], Louis Bolk Institute (LBI), Trier University, Animal Biodiversity and Evolution, Institute of Evolutionary Biology (IBE), Department of Soil and Crop Sciences [Fort Collins], Biodiversity and Systematic Network, Instituto de Ecología A.C., Department of Biology [Fort Collins], Department of Biological Science and Environmental Studies, University of the Philippines - Mindanao, Faculty of Bioscience Engineering - Laboratory of Environmental Toxicology and Aquatic Ecology, Universiteit Gent = Ghent University [Belgium] (UGENT), Center for Forest Ecology and Productivity (RAS), Razi University of Kermanshah, USDA Forest Service, Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Josip Juraj Strossmayer University of Osijek, Agriculture engineering, Agroecology Postgraduate Program, Maranhão State University, Agriculture Victoria (AgriBio), Kyushu University [Fukuoka], Minnesota Pollution Control Agency, Department of Bioscience [Aarhus], Northern Kentucky University, Departamento de Agricultura, Sociedad y Ambiente, EI Colegio de la Frontera Sur (ECOSUR), Consejo Nacional de Ciencia y Tecnología [Mexico] (CONACYT)-Consejo Nacional de Ciencia y Tecnología [Mexico] (CONACYT), Soil Physics and Land Management Group, University of Jyväskylä (JYU), College of Agriculture, Environmental and Human Sciences, Lincoln University of Missouri, School of Forest Resources and Conservation [Gainesville] (UF|IFAS|FFGS), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Banat University of Agricultural Sciences and Veterinary Medicine (USAMVBT), Christian-Albrechts University of Kiel, Tallinn University of Technology (TTÜ), University of Idaho [Moscow, USA], Faculty of Food and Agricultural Sciences, Fukushima University, Matej Bel University (UMB), UK Centre for Ecology & Hydrology, Natural Environment Research Council (NERC), Université Nangui Abrogoua (UNA), Faculty of Natural Resources and Marine Sciences [Tarbiat], Tarbiat Modares University [Tehran], Natural Resources Institute Finland (LUKE), Department of Zoology, Pachhunga University College, Skolkovo Institute of Science and Technology [Moscow] (Skoltech), Sol Agro et hydrosystème Spatialisation (SAS), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, University of Hawai'i [Honolulu] (UH), Universidad Central de Venezuela (UCV), Instituto de Zoología y Ecología Tropical (IZET), Oklahoma State University [Stillwater] (OSU), Agrosystèmes Biodiversifiés (UMR ABSys), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Czech University of Life Sciences Prague (CZU), Tochigi Prefectural Museum, Thuenen-Institute of Biodiversity, Thuenen-Institute of Organic Farming, University of Extremadura, INDEHESA, Forestry School, Conservación de la Biodiversidad, El Colegio de la Frontera Sur, Doshisha University [Kyoto], Department of Earth and Environmental Sciences [Leuven-Heverlee], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Research Institute for Nature and Forest (INBO), School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences (BFH), Natural Area Consultants, Department of Zoology, PSMO College, CSIRO Marine and Atmospheric Research (CSIRO-MAR), Adaptation et diversité en milieu marin (AD2M), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Phipps Conservatory and Botanical Gardens (PHIPPS), Universidad de Alcalá - University of Alcalá (UAH), Forest Ecology and Restoration Group, Department of Life Sciences, Mécanismes Adaptatifs et Evolution (MECADEV), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Department of Ecology and Ecosystem Management, Geobotany, Tembotov Institute of Ecology of Mountain Territories, Russian Academy of Sciences, King Abdulaziz University, Center of Excellence in Environmental Studies, Global Change Ecology and Evolution Research Groupp (GloCEE), Department of Life Sciences, University of Alcalá, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Postgraduate Program in Biodiversity and Conservation, Federal University of Maranhão, Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), College of Natural Resources, University of Wisconsin, The Morton Arboretum, Department Engineering for Crop Production, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), School of Agriculture and Food Science, UCD School of Geography, UCD Earth Institute, University College, Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig], Institute of Geoecology, Leopold Franzens Universität Innsbruck - University of Innsbruck, European Academy Bozen/Bolzano (EURAC), Institute for Alpine Environment, European Academy of Bozen-Bolzano (EURAC), Institute of Physicochemical and Biological Problems in Soil Science, RAS, Institute of Mathematical Problems in Biology (IMPB RAS), Post Graduate Department of Zoology, Khalsa College Amritsar, Morton K. Blaustein Department of Earth and Planetary Sciences [Baltimore], Johns Hopkins University (JHU), Universidad de La Laguna [Tenerife - SP] (ULL), Kochi University, Juárez Autonomous University of Tabasco, Nanotechnology Engineering, Multidisciplinary Academic Division of Jalpa de Méndez, Food & Agriculture, WWF-Netherlands, Universidad Pública de Navarra [Espagne] = Public University of Navarra (UPNA), Department of Soil, Water and Climate, University of Minnesota System-University of Minnesota System, Earth Innovation Institute, University of California [Davis] (UC Davis), University of California (UC), Department of Natural Resources and Environmental Management, University of Hawaii, McGill University = Université McGill [Montréal, Canada], Natural resource sciences, The Nature Conservancy, Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Southwest Minzu University [Chengdu], Institute of Industrial Ecology Problems of the North of the Kola Science Center of RAS, Henan Agricultural University, Faculty of Biological and Environmental Sciences [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, H.R.P.P., B.K-R., and the sWorm workshops were supported by the sDiv [Synthesis Centre of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig (DFG FZT 118)]. H.R.P.P., O.F. and N.E. acknowledge funding by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 677232 to NE). K.S.R. and W.H.v.d.P. were supported by ERC-ADV grant 323020 to W.H.v.d.P. Also supported by iDiv (DFG FZT118) Flexpool proposal 34600850 (C.A.G. and N.E.), the Academy of Finland (285882) and the Natural Sciences and Engineering Research Council of Canada (postdoctoral fellowship and RGPIN-2019-05758) (E.K.C.), German Federal Ministry of Education and Research (01LO0901A) (D.J.R.), ERC-AdG 694368 (M.R.), the TULIP Laboratory of Excellence (ANR-10-LABX-41) (M.L), and the BBSRC David Phillips Fellowship to F.T.d.V. (BB/L02456X/1). In addition, data collection was funded by the Russian Foundation for Basic Research (12-04-01538-a, 12-04-01734-a, 14-44-03666-r_center_a, 15-29-02724-ofi_m, 16-04-01878-a 19-05-00245, 19-04-00-609-a), Tarbiat Modares University, Aurora Organic Dairy, UGC(NERO) (F. 1-6/Acctt./NERO/2007-08/1485), Natural Sciences and Engineering Research Council (RGPIN-2017-05391), Slovak Research and Development Agency (APVV-0098-12), Science for Global Development through Wageningen University, Norman Borlaug LEAP Programme and International Atomic Energy Agency (IAEA), Sao Paulo Research Foundation - FAPESP (12/22510-8), Oklahoma Agricultural Experiment Station, INIA - Spanish Agency (SUM 2006-00012-00-0), Royal Canadian Geographical Society, Environmental Protection Agency (Ireland) (2005-S-LS-8), University of Hawai'i at Manoa (HAW01127H, HAW01123M), European Union FP7 (FunDivEurope, 265171, ROUTES 265156), U.S. Department of the Navy, Commander Pacific Fleet (W9126G-13-2-0047), Science and Engineering Research Board (SB/SO/AS-030/2013) Department of Science and Technology, New Delhi, India, Strategic Environmental Research and Development Program (SERDP) of the U.S. Department of Defense (RC-1542), Maranhao State Research Foundation (FAPEMA 03135/13, 02471/17), Coordination for the Improvement of Higher Education Personnel (CAPES 3281/2013), Ministry of Education, Youth and Sports of the Czech Republic (LTT17033), Colorado Wheat Research Foundation, Zone Atelier Alpes, French National Research Agency (ANR-11-BSV7-0020, ANR-09-STRA-0002, ANR 06 BIODIV 0009), Austrian Science Fund (P16027, T441), Landwirtschaftliche Rentenbank Frankfurt am Main, Welsh Government and the European Agricultural Fund for Rural Development (Project Ref. A AAB 62 03 qA731606), SEPAQ, Ministry of Agriculture and Forestry of Finland, Science Foundation Ireland (EEB0061), University of Toronto (Faculty of Forestry), National Science and Engineering Research Council of Canada, Haliburton Forest & Wildlife Reserve, NKU College of Arts & Sciences Grant, osterreichische Forschungsforderungsgesellschaft (837393 and 837426), Mountain Agriculture Research Unit of the University of Innsbruck, Higher Education Commission of Pakistan, Kerala Forest Research Institute, Peechi, Kerala, UNEP/GEF/TSBF-CIAT Project on Conservation and Sustainable Management of Belowground Biodiversity, Ministry of Agriculture and Forestry of Finland, Complutense University of Madrid/European Union FP7 project BioBio (FPU UCM 613520), GRDC, AWI, LWRRDC, DRDC, CONICET (National Scientific and Technical Research Council) and FONCyT (National Agency of Scientific and Technological Promotion) (PICT, PAE, PIP), Universidad Nacional de Lujan y FONCyT (PICT 2293 (2006)), Fonds de recherche sur la nature et les technologies du Quebec (131894), Deutsche Forschungsgemeinschaft (SCHR1000/3-1, SCHR1000/6-1, 6-2 (FOR 1598), WO 670/7-1, WO 670/7-2, & SCHA 1719/1-2), CONACYT (FONDOS MIXTOS TABASCO/PROYECTO11316), NSF (DGE-0549245, DGE-0549245, DEB-BE-0909452, NSF1241932, LTER Program DEB-97-14835), Institute for Environmental Science and Policy at the University of Illinois at Chicago, Dean's Scholar Program at UIC, Garden Club of America Zone VI Fellowship in Urban Forestry from the Casey Tree Endowment Fund, J.E. Weaver Competitive Grant from the Nebraska Chapter of The Nature Conservancy, The College of Liberal Arts and Sciences at Depaul University, Elmore Hadley Award for Research in Ecology and Evolution from the UIC Dept. of Biological Sciences, Spanish CICYT (AMB96-1161, REN2000-0783/GLO, REN2003-05553/GLO, REN2003-03989/GLO, CGL2007-60661/BOS), Yokohama National University, MEXT KAKENHI (25220104), Japan Society for the Promotion of Science KAKENHI (25281053, 17KT0074, 25252026), ADEME (0775C0035), Ministry of Science, Innovation and Universities of Spain (CGL2017-86926-P), Syngenta Philippines, UPSTREAM, LTSER (Val Mazia/Matschertal), Marie Sklodowska Curie Postdoctoral Fellowship (747607), National Science & Technology Base Resource Survey Project of China (2018FY100306), McKnight Foundation (14-168), Program of Fundamental Researches of Presidium of Russian Academy of Sciences (AAAA-A18-118021490070-5), Brazilian National Council for Scientific and Technological Development (CNPq 310690/2017-0, 404191/2019-3, 307486/2013-3), French Ministry of Foreign and European Affairs, Bavarian Ministry for Food, Agriculture and Forestry (Project No B62), INRA AIDY project, MIUR PRIN 2008, Idaho Agricultural Experiment Station, Estonian Science Foundation, Ontario Ministry of the Environment, Canada, Russian Science Foundation (16-17-10284), National Natural Science Foundation of China (41371270), Australian Research Council (FT120100463), USDA Forest Service-IITF. Open Access funding enabled and organized by Projekt DEAL., ANR-10-LABX-0041,TULIP,Towards a Unified theory of biotic Interactions: the roLe of environmental(2010), ANR-11-BSV7-0020,METABAR,Metacode-barre ADN pour une nouvelle génération de suivi de la biodiversité(2011), ANR-09-STRA-0002,FORGECO,Du diagnostic à l'action: créer les conditions d'une gestion integrée et viable des écosystèmes forestiers sur les territoires(2009), ANR-06-BDIV-0009,AMAZ_BD,Biodiversité des paysages amazoniens. Déterminants socio-économiques et productio de biens et services écosystèmiques(2006), European Project: 677232,H2020,ERC-2015-STG,ECOWORM(2016), European Project: 323020,EC:FP7:ERC,ERC-2012-ADG_20120314,SPECIALS(2013), European Project: 265171,EC:FP7:ENV,FP7-ENV-2010,FUNDIVEUROPE(2010), European Project: 265156,EC:FP7:ENV,FP7-ENV-2010,ROUTES(2011), European Project: ERC-2015-AdG 694368, European Project: 227161,EC:FP7:KBBE,FP7-KBBE-2008-2B,BIOBIO(2009), Terrestrial Ecology (TE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), Department of Natural Resources & The Environment [CALS], College of Agriculture and Life Sciences [Cornell University] (CALS), Cornell University [New York]-Cornell University [New York], Department of Entomology [CALS], Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Universiteit Gent = Ghent University (UGENT), Kyushu University, Universidad de Extremadura - University of Extremadura (UEX), Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Faculty of Biological and Environmental Sciences, Organismal and Evolutionary Biology Research Programme, Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa. ISFOOD - Institute for Innovation and Sustainable Development in Food Chain, Universidad Pública de Navarra. Departamento de Ciencias, Nafarroako Unibertsitate Publikoa. Zientziak Saila, Global Soil Biodiversity Initiative and School of Global Environmental Sustainability, Colorado State University, Universidade Positivo, Senckenberg Museum for Natural History Görlitz, Department of Soil Zoology, Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Station d'écologie théorique et expérimentale (SETE), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), University of Göttingen - Georg-August-Universität Göttingen, Centre of Biodiversity and Sustainable Land Use, Department of Silviculture and Forest Ecology of the Temperate Zones, Georg-August-University [Göttingen], Faculty of Forest Sciences and Forest Ecology, Institute for Agro-Environmental Sciences, Rwanda Institute for Conservation Agriculture (RICA), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), UCD School of Biology & Environmental Science, UCD Earth Institute, University College Dublin, School of Agriculture, Food and Wine, Waite Research Institute, Faculty of Forestry, University of Toronto, Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Aberystwyth University, Odum School of Ecology, Department of Biological Sciences, SUNY Cortland, Yale School Forestry & Environment Studies, Ciencias Básicas, Instituto de Ecología y Desarrollo Sustentable -INEDES, Universidad Nacional de Lujan, Université Nangui Abrogoua, Tarbiat Modaras University, AGROCAMPUS OUEST, Oklahoma State University [Stillwater], Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Department of Animal Biology (Zoology area), Science Faculty, University of La Laguna, University of California, Justus-Liebig-University [Gießen, Germany], University of Helsinki, HELEN R. P. PHILLIPS, German Centre for Integrative Biodiversity Research, ERIN K. CAMERON, Saint Mary’s University, NICO EISENHAUER, German Centre for Integrative Biodiversity Research, Leipzig University., Wageningen University, JOSÉ ANTONIO TALAVERA, University of La Laguna, DOLORES TRIGO, University Complutense of Madrid, JIRO TSUKAMOTO, Kochi University, SHEILA URIBE-LÓPEZ, Juárez Autonomous University of Tabasco, ANNE W. DE VALENÇA, Unit Food & Agriculture, WWF-Netherlands, IÑIGO VIRTO, Universidad Pública de Navarra, ADRIAN A. WACKETT, University of Minnesota, MATTHEW W. WARREN, Earth Innovation Institute, WEIXIN ZHANG, Henan University, DANIEL CLUZEAU, Université de Rennes, ANJA COORS, ECT Oekotoxikologie GmbH, FELICITY V. CROTTY, Aberystwyth Universtiy, Royal Agricultural University, JASMINE M. CRUMSEY, University of Georgia, Saint Marys University, ELIZABETH M. BACH, Colorado State University, MARIE L. C. BARTZ, Universidade Positivo, University of Coimbra, JOANNE M. BENNETT, German Centre for Integrative Biodiversity Research, Martin Luther University Halle-Wittenberg, RÉMY BEUGNON, German Centre for Integrative Biodiversity Research, MARIA J. I. BRIONES, Universidad de Vigo, GEORGE GARDNER BROWN, CNPF, OLGA FERLIAN, German Centre for Integrative Biodiversity Research, KONSTANTIN B. GONGALSKY, Russian Academy of Sciences, Lomonosov Moscow State University, CARLOS A. GUERRA, German Centre for Integrative Biodiversity Research, BIRGITTA KÖNIG-RIES, German Centre for Integrative Biodiversity Research, Friedrich Schiller University, JULIA J. KREBS, German Centre for Integrative Biodiversity Research, ALBERTO ORGIAZZI, European Commission, Joint Research Centre, KELLY S. RAMIREZ, Netherlands Institute of Ecology, DAVID J. RUSSELL, Senckenberg Museum for Natural History Görlitz, BENJAMIN SCHWARZ, University of Freiburg, DIANA H. WALL, Colorado State University, ULRICH BROSE, German Centre for Integrative Biodiversity Research, Friedrich Schiller University Jena, THIBAUD DECAËNS, Univ Paul Valéry Montpellier, PATRICK LAVELLE, Institut d’Ecologie et des Sciences de l’Environnement, MICHEL LOREAU, Theoretical and Experimental Ecology Station, JÉRÔME MATHIEU, Institute of Ecology and Environmental Sciences of Paris, Institut d’Ecologie et des Sciences de l’Environnement de Paris, CHRISTIAN MULDER, University of Catania, WIM H. VAN DER PUTTEN, Netherlands Institute of Ecology, MATTHIAS C. RILLIG, Freie Universität Berlin, MADHAV P. THAKUR, Netherlands Institute of Ecology, FRANCISKA T. DE VRIES, University of Amsterdam, DAVID A. WARDLE, Nanyang Technological University, CHRISTIAN AMMER, University of Göttingen, SABINE AMMER, University of Göttingen, MIWA ARAI, National Agriculture and Food Research Organization, FREDRICK O. AYUKE, University of Nairobi, Rwanda Institute for Conservation Agriculture, GEOFF H. BAKER, Health & Biosecurity, DILMAR BARETTA, Santa Catarina State University, DIETMAR BARKUSKY, Leibniz Centre for Agricultural Landscape Research, ROBIN BEAUSÉJOUR, Université de Sherbrooke, JOSE C. BEDANO, National University of Rio Cuarto, KLAUS BIRKHOFER, Brandenburg University of Technology, ERIC BLANCHART, Institut Agro, BERND BLOSSEY, Cornell University, THOMAS BOLGER, University College Dublin, ROBERT L. BRADLEY, Université de Sherbrooke, MICHEL BROSSARD, Institut Agro, JAMES C. BURTIS, Cornell University, YVAN CAPOWIEZ, Site Agroparc, TIMOTHY R. CAVAGNARO, The University of Adelaide, AMY CHOI, University of Toronto, JULIA CLAUSE, Université de Poitiers, ANDREA DÁVALOS, SUNY Cortland, DARÍO J. DÍAZ COSÍN, University Complutense of Madrid, ANNISE M. DOBSON, Yale University, ANAHÍ DOMÍNGUEZ, National University of Rio Cuarto, ANDRÉS ESTEBAN DUHOUR, Universidad Nacional de Luján, NICK VAN EEKEREN, Louis Bolk Institute, CHRISTOPH EMMERLING, University of Trier, LILIANA B. FALCO, Universidad Nacional de Luján, ROSA FERNÁNDEZ, Institute of Evolutionary Biology, STEVEN J. FONTE, Colorado State University, CARLOS FRAGOSO, Institute of Ecology A.C., ANDRÉ L. C. FRANCO, Colorado State University, ABEGAIL FUSILERO, University of the Philippines Mindanao, Ghent University, ANNA P. GERASKINA, Center for Forest Ecology and Productivity RAS, SHAIESTE GHOLAMI, Razi University, GRIZELLE GONZÁLEZ, International Institute of Tropical Forestry, MICHAEL J. GUNDALE, Swedish University of Agricultural Sciences, MÓNICA GUTIÉRREZ LÓPEZ, University Complutense of Madrid, BRANIMIR K. HACKENBERGER, University of Osijek, DAVORKA K. HACKENBERGER, University of Osijek, LUIS M. HERNÁNDEZ, Maranhão State University, JEFF R. HIRTH, Department of Jobs, Precincts and Regions, Agriculture Victoria, TAKUO HISHI, Kyushu University, ANDREW R. HOLDSWORTH, Minnesota Pollution Control Agency, MARTIN HOLMSTRUP, Aarhus University, KRISTINE N. HOPFENSPERGER, Northern Kentucky University, ESPERANZA HUERTA LWANGA, El Colegio de la Frontera Sur, Wageningen University & Research, VEIKKO HUHTA, University of Jyväskylä, TUNSISA T. HURISSO, Colorado State University, Lincoln University of Missouri, BASIL V. IANNONE III, University of Florida, MADALINA IORDACHE, University of Agricultural Sciences and Veterinary Medicine of Banat 'King Michael the 1st of Romania', ULRICH IRMLER, University of Kiel, MARI IVASK, Tallinn University of Technology, JUAN B. JESÚS, University Complutense of Madrid, JODI L. JOHNSON-MAYNARD, University of Idaho, MONIKA JOSCHKO, Leibniz Centre for Agricultural Landscape Research, NOBUHIRO KANEKO, Fukushima University, RADOSLAVA KANIANSKA, Matej Bel University, AIDAN M. KEITH, Leibniz Centre for Agricultural Landscape Research, MARIA L. KERNECKER, Leibniz Centre for Agricultural Landscape Research, ARMAND W. KONÉ, Université Nangui Abrogoua, YAHYA KOOCH, Tarbiat Modares University, SANNA T. KUKKONEN, Natural Resources Institute Finland, H. LALTHANZARA, Pachhunga University College, DANIEL R. LAMMEL, Freie Universität Berlin, IURII M. LEBEDEV, Russian Academy of Sciences, M.V. Lomonosov Moscow State University, Skolkovo Institute of Science and Technology, EDITH LE CADRE, Institut Agro, NOA K. LINCOLN, University of Hawai’i at Manoa, DANILO LÓPEZ-HERNÁNDEZ, Universidad Central de Venezuela, SCOTT R. LOSS, Oklahoma State University, RAPHAEL MARICHAL, Univ Montpellier, RADIM MATULA, Czech University of Life Sciences Prague, YUKIO MINAMIYA, Tochigi Prefectural Museum, JAN HENDRIK MOOS, Thuenen-Institute of Biodiversity, GERARDO MORENO, University of Extremadura, ALEJANDRO MORÓN-RÍOS, El Colegio de la Frontera Sur, HASEGAWA MOTOHIRO, Doshisha University, BART MUYS, Department of Earth & Environmental Sciences, Division of Forest, Nature and Landscape, JOHAN NEIRYNCK, Research Institute for Nature and Forest, LINDSEY NORGROVE, Bern University of Applied Sciences, MARTA NOVO, University Complutense of Madrid, VISA NUUTINEN, Natural Resources Institute Finland, VICTORIA NUZZO, Natural Area Consultants, P. MUJEEB RAHMAN, PSMO College, JOHAN PANSU, CSIRO Ocean and Atmosphere, Sorbonne Université, SHISHIR PAUDEL, Oklahoma State University, Phipps Conservatory and Botanical Gardens, GUÉNOLA PÉRÈS, CNRS-Université de Rennes, Institut Agro, LORENZO PÉREZ CAMACHO, University of Alcalá, JEAN-FRANÇOIS PONGE, Muséum National d’Histoire Naturelle, JÖRG PRIETZEL, Technical University of Munich, IRINA B. RAPOPORT, Russian Academy of Sciences, MUHAMMAD IMTIAZ RASHID, King Abdulaziz University, SALVADOR REBOLLO, University of Alcalá, MIGUEL Á. RODRÍGUEZ, University of Alcalá, ALEXANDER M. ROTH, University of Minnesot, Friends of the Mississippi River, GUILLAUME X. ROUSSEAU, Maranhão State University, Federal University of Maranhão, ANNA ROZEN, University of Wisconsin, EHSAN SAYAD, Razi University, LOES VAN SCHAIK, Wageningen University & Research, BRYANT SCHARENBROCH, University of Wisconsin, MICHAEL SCHIRRMANN, Leibniz Institute for Agricultural Engineering and Bioeconomy, OLAF SCHMIDT, University College Dublin, Agriculture and Food Science Centre, BORIS SCHRÖDER, Technische Universität Braunschweig, JULIA SEEBER, University of Innsbruck, MAXIM P. SHASHKOV, Russian Academy of Sciences, JASWINDER SINGH, Khalsa College Amritsar, SANDY M. SMITH, University of Toronto, MICHAEL STEINWANDTER, Institute for Alpine Environment, KATALIN SZLAVECZ, Johns Hopkins University, EMILY R. WEBSTER, University of California, NATHANIEL H. WEHR, University of Hawaii, JOANN K. WHALEN, Natural Resource Sciences, McGill University, MICHAEL B. WIRONEN, The Nature Conservancy, VOLKMAR WOLTERS, Animal Ecology, Justus Liebig University, PENGFEI WU, Southwest Minzu University, IRINA V. ZENKOVA, Institute of North Industrial Ecology Problems, Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), and Technical University of Munich (TUM)
Subjects: Data Descriptor, Distribuição Geográfica, Plan_S-Compliant-OA, Soil, Biomass, biodiversity, Diversity, Ecology, Biodiversidade, Biodiversity, eliöyhteisöt, maaperäeliöstö, PE&RC, Computer Science Applications, Multidisciplinary Sciences, Biogeography, international, 1181 Ecology, evolutionary biology, Ecosystem engineers, Science & Technology - Other Topics, Statistics, Probability and Uncertainty, Information Systems, Statistics and Probability, lierot, Science, Invertebrados, Library and Information Sciences, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, Ecology and Environment, Education, eliömaantiede, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Minhoca, Serviço ambiental, BIODIVERSITY CHANGE, Life Science, Ecosystem services, Earthworms, Datasets, Animals, Spatial distribution, Community ecology, Oligochaeta, Laboratorium voor Nematologie, Ecosystem, 1172 Environmental sciences, biogeography, Science & Technology, LAND-USE, Biology and Life Sciences, PLATFORM, Bodemfysica en Landbeheer, Ecología, Ecossistema, biodiversiteetti, Soil Physics and Land Management, Solo, Biologia do Solo, maaperäeläimistö, 570 Life sciences, biology, eartworm, abundance, biomass, diversity, Laboratory of Nematology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, COMMUNITIES, community ecology
Abstract: Earthworms are an important soil taxon as ecosystem engineers, providing a variety of crucial ecosystem functions and services. Little is known about their diversity and distribution at large spatial scales, despite the availability of considerable amounts of local-scale data. Earthworm diversity data, obtained from the primary literature or provided directly by authors, were collated with information on site locations, including coordinates, habitat cover, and soil properties. Datasets were required, at a minimum, to include abundance or biomass of earthworms at a site. Where possible, site-level species lists were included, as well as the abundance and biomass of individual species and ecological groups. This global dataset contains 10,840 sites, with 184 species, from 60 countries and all continents except Antarctica. The data were obtained from 182 published articles, published between 1973 and 2017, and 17 unpublished datasets. Amalgamating data into a single global database will assist researchers in investigating and answering a wide variety of pressing questions, for example, jointly assessing aboveground and belowground biodiversity distributions and drivers of biodiversity change., Measurement(s) earthworm communities • Abundance • organic material • Diversity • environmental properties Technology Type(s) digital curation Factor Type(s) location Sample Characteristic - Organism Lumbricina Sample Characteristic - Environment soil Sample Characteristic - Location global Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.13399118
Published: 2021
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21. Multi-model evaluation of phenology prediction for wheat in Australia

Author: Elisabet Lewan, Xenia Specka, Arne Poyda, Bernardo Maestrini, Liujun Xiao, Amir Souissi, Sabine J. Seidel, Roberto Ferrise, G. Padovan, Steven Hoek, Tobias K. D. Weber, Thilo Streck, Mingxia Huang, Qunying Luo, Niels Schütze, Jørgen E. Olesen, Samuel Buis, Qi Jing, Budong Qian, Yan Zhu, Marie Launay, Allard de Wit, Thomas Wöhling, Sebastian Gayler, Fety Andrianasolo, Eckart Priesack, Bruno Basso, Senthold Asseng, Benjamin Dumont, Heidi Horan, Eric Justes, Thomas Gaiser, Mohamed Jabloun, Giacomo Trombi, Santosh Hiremath, Lutz Weihermüller, Daniel Wallach, Jing Wang, Zvi Hochman, Taru Palosuo, Amit Kumar Srivastava, Marco Moriondo, Vakhtang Shelia, Peter J. Thorburn, Gerrit Hoogenboom, Evelyn Wallor, Kurt Christian Kersebaum, Johannes Wilhelmus Maria Pullens, Neil M.J. Crout, Chuang Zhao, Per-Erik Jansson, Tommaso Stella, AGroécologie, Innovations, teRritoires (AGIR), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Natural Resources Institute Finland (LUKE), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), ARVALIS - Institut du Végétal [Boigneville], ARVALIS - Institut du végétal [Paris], University of Florida [Gainesville] (UF), Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Michigan State University [East Lansing], Michigan State University System, DEPARTMENT OF EARTH AND ENVIRONMENTAL SCIENCES MICHIGAN STATE UNIVERSITY USA, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Nottingham, UK (UON), Université de Liège - Gembloux, Department Terra & AgroBioChem, Gembloux Agro‐Bio Tech, Université de Liège, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Department of Agriculture, Food, Environment and Forestry (DAGRI), University of Bonn, Institute of Crop Science and Resource Conservation [Bonn] (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, University of Hohenheim, Institute of Soil Science and Land Evaluation, Soil Biology Section, Aalto University School of Science and Technology [Aalto, Finland], Wageningen University and Research [Wageningen] (WUR), CSIRO Agriculture and Food (CSIRO), Food Systems Institute [Gainesville] (UF|IFAS), China Agriculture University [Beijing], College of Resources and Environmental Sciences, China Agricultural University (CAU), Royal Institute of Technology [Stockholm] (KTH ), Agriculture and Agri-Food [Ottawa] (AAFC), Ottawa Research and Development Center, Fonctionnement et conduite des systèmes de culture tropicaux et méditerranéens (UMR SYSTEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM), Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Global Change Research Institute (CAS), Agroclim (AGROCLIM), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Swedish University of Agricultural Sciences (SLU), Hillridge Technology Pty Ltd, Institute of Bioeconomy (IBE), Consiglio Nazionale delle Ricerche (CNR), Aarhus University [Aarhus], Department of Agroecology, Aarhus University, Tjele, Denmark, Kiel University, Institute of Crop Science and Plant Breeding, Christian-Albrechts University of Kiel, Helmholtz-Zentrum München (HZM), German Res Ctr Environm Hlth, Partenaires INRAE, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Université de Carthage - University of Carthage, Institut National de la Recherche Agronomique de Tunisie (INRAT), Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Institute of Bio- and Geosciences [Jülich] (IBG), Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Lincoln Agritech Ltd, Nanjing Agricultural University, National Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricutural University, This work was in part supported by the Collaborative Research Center 1253 CAMPOS (Project 7: Stochastic Modelling Framework), funded by the German Research Foundation (DFG, Grant Agreement SFB 1253/1 2017), the Academy of Finland through projects AI-CropPro (316172 and 315896) and DivCSA (316215) and Natural Resources Institute Finland (Luke) through a strategic project BoostIA, the BonaRes projects 'Soil3' (BOMA 03037514) and 'I4S' (031B0513I) of the Federal Ministry of Education and Research (BMBF), Germany, the German Research Foundation (DFG) under Germany's Excellence Strategy -EXC 2070 -390732324, the project BiomassWeb of the GlobeE programme (Grant number: FKZ031A258B) funded by the Federal Ministry of Education and Research (BMBF, Germany), the EU funded SustEs project (CZ.02.1.01/0.0/0.0/16_019/0000797), the INRAE ACCAF metaprogramme, the German Federal Ministry of Education and Research (BMBF) in the framework of the funding measure 'Soil as a Sustainable Resource for the Bioeconomy -BonaRes', project 'BonaRes (Module B): BonaRes Centre for Soil Research, subproject B' (grant 031B0511B), the National Key Research and Development Program of China (2017YFD0300205), the National Science Foundation for Distinguished Young Scholars (31725020), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), the 111 project (B16026), and China Scholarship Council, the Agriculture and AgriFood Canada's Project 1387 under the Canadian Agricultural Partnership, the DFG Research Unit FOR 1695 `Agricultural Landscapes under Global Climate Change -Processes and Feedbacks on a Regional Scale, the U.S. Department of Agriculture (USDA), National Institute of Food and Agriculture (award no. 2015-68007-23133) and USDA/NIFA HATCH grant N. MCL02368, the National Key Research and Development Program of China (2016YFD0300105), The Broadacre Agriculture Initiative, a research partnership between University of Southern Queensland and the Queensland Department of Agriculture and Fisheries, the JPI FACCE MACSUR2 project, funded by the Italian Ministry for Agricultural, Food, and Forestry Policies (D.M. 24064/7303/15 of 26/Nov/2015). The field work was jointly funded by CSIRO and the Grains Research and Development Corporation (GRDC) under the 'Adding Value to GRDC's National Variety Trial Network' project (CSA00027). The order in which the donors are listed is arbitrary., INRAE, Luke Natural Resources Institute Finland, CSIRO, Arvalis Institut du Végétal, University of Florida, Michigan State University, University of Nottingham, University of Liege, University of Florence, Department of Computer Science, Wageningen University and Research Centre, China Agricultural University, KTH Royal Institute of Technology, Ottawa Research and Development Centre, Leibniz Centre for Agricultural Landscape Research, Swedish University of Agricultural Sciences, National Research Council of Italy, Aarhus University, Helmholtz Zentrum München - German Research Center for Environmental Health, Technische Universität Dresden, University of Carthage, Forschungszentrum Jülich, Aalto-yliopisto, and Aalto University
Subjects: 0106 biological sciences, Atmospheric Science, 010504 meteorology & atmospheric sciences, Calibration (statistics), Structure uncertainty, 01 natural sciences, F01 - Culture des plantes, Aardobservatie en omgevingsinformatica, Statistics, Range (statistics), ddc:550, Evaluation, Applied Ecology, Triticum, Mathematics, 2. Zero hunger, Global and Planetary Change, U10 - Informatique, mathématiques et statistiques, Phenology, Toegepaste Ecologie, Forestry, 04 agricultural and veterinary sciences, Australia, Parameter Uncertainty, Structure Uncertainty, Wheat, technique de prévision, PE&RC, [SDE]Environmental Sciences, Incertitude, Phénologie, Earth Observation and Environmental Informatics, F40 - Écologie végétale, Parameter uncertainty, Benchmark (surveying), Baseline (configuration management), Selection (genetic algorithm), 0105 earth and related environmental sciences, Modélisation des cultures, cultivar selection [EN], Global change, 15. Life on land, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Stage (hydrology), Agronomy and Crop Science, 010606 plant biology & botany
Abstract: Predicting wheat phenology is important for cultivar selection, for effective crop management and provides a baseline for evaluating the effects of global change. Evaluating how well crop phenology can be predicted is therefore of major interest. Twenty-eight wheat modeling groups participated in this evaluation. Model predictions depend not only on model structure but also on the parameter values. This study is thus an evaluation of modeling groups, which choose the structure and fix or estimate the parameters, rather than an evaluation just of model structures. Our target population was wheat fields in the major wheat growing regions of Australia under current climatic conditions and with current local management practices. The environments used for calibration and for evaluation were both sampled from this same target population. The calibration and evaluation environments had neither sites nor years in common, so this is a rigorous evaluation of the ability of modeling groups to predict phenology for new sites and weather conditions. Mean absolute error (MAE) for the evaluation environments, averaged over predictions of three phenological stages and over modeling groups, was 9 days, with a range from 6 to 20 days. Predictions using the multi-modeling group mean and median had prediction errors nearly as small as the best modeling group. For a given modeling group, MAE for the evaluation environments was significantly correlated with MAE for the calibration environments, which suggests that it would be of interest to test ensemble predictors that weight individual modeling groups based on performance for the calibration data. About two thirds of the modeling groups performed better than a simple but relevant benchmark, which predicts phenology by assuming a constant temperature sum for each development stage. The added complexity of crop models beyond just the effect of temperature was thus justified in most cases. Finally, there was substantial variability between modeling groups using the same model structure, which implies that model improvement could be achieved not only by improving model structure, but also by improving parameter values, and in particular by improving calibration techniques.
Published: 2021
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22. Low growth resilience to drought is related to future mortality risk in trees

Author: Frank J. Sterck, Vyacheslav I. Kharuk, Jordi Martínez-Vilalta, Maria Laura Suarez, Juan Carlos Linares, Dejan Stojanović, Steven Jansen, J. Julio Camarero, Laurel J. Haavik, Tamir Klein, Gabriel Sangüesa-Barreda, Harri Mäkinen, Ricardo Villalba, Walter Oberhuber, Lucía DeSoto, Maxime Cailleret, Mariano M. Amoroso, Elisabeth M. R. Robert, Guillermo Gea-Izquierdo, Jeffrey M. Kane, Ana-Maria Hereş, Thomas Kitzberger, Andreas Papadopoulos, Sten Gillner, Tom Levanič, Tuomas Aakala, Christof Bigler, Brigitte Rohner, Koen Kramer, Katarina Čufar, Estación Experimental de Zonas Áridas (CSIC), University of Coimbra [Portugal] (UC), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Environmental Systems Science [ETH Zürich] (D-USYS), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Institut Fédéral de Recherches sur la Forêt, la Neige et le Paysage (WSL), Institut Fédéral de Recherches [Suisse], Wageningen University and Research [Wageningen] (WUR), Universität Ulm - Ulm University [Ulm, Allemagne], Alterra [Wageningen] (ESS-CC), Centre for Water and Climate [Wageningen], Centre de Recerca Ecològica i Aplicacions Forestals, Univ. Autònoma de Barcelona (CREAF), université de Barcelone, University of Helsinki, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD), Universidad Nacional de Río Negro, El Bolsón, Argentina, Instituto Pirenaico de Ecologia (IPE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), University of Ljubljana, Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria, Technische Universität Dresden = Dresden University of Technology (TU Dresden), USDA Forest Service, Transylvania University of Brasov, Basque Centre for Climate Change (BC3), Humboldt State University (HSU), V.N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences (SB RAS), Siberian Federal University (SibFU), Universidad Nacional del Comahue [Neuquén] (UNCOMA), Weizmann Institute of Science, Weizmann Institute of Science [Rehovot, Israël], Slovenian Forestry Institute, Universidad Pablo de Olavide [Sevilla] (UPO), Natural resources institute Finland, University of Innsbruck, Agricultural University of Athens, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, University of Novi Sad, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales [Mendoza] (CONICET-IANIGLA), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional de Cuyo [Mendoza] (UNCUYO), Universitat Autònoma de Barcelona (UAB), Centre de Recerca Ecològica i Aplicacions Forestals (CREAF), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria = National Institute for Agricultural and Food Research and Technology (INIA), Natural Resources Institute Finland (LUKE), Leopold Franzens Universität Innsbruck - University of Innsbruck, Department of Forest Sciences, Boreal forest dynamics and biodiversity research group, and Forest Ecology and Management
Subjects: 0106 biological sciences, 010504 meteorology & atmospheric sciences, General Physics and Astronomy, Economic shortage, drought, 01 natural sciences, Trees, CARBON, Soil, Mortalité des arbres, FORESTS, lcsh:Science, sécheresse, 4112 Forestry, Multidisciplinary, Ecology, iglavci, Climate-change ecology, food and beverages, Vegetation, trees, EMBOLISM, PE&RC, Adaptation, Physiological, Droughts, umiranje, Productivity (ecology), Technologie and Innovatie, Knowledge Technology and Innovation, Kennis, angiosperms, gymnosperms, suša, Climate Change, Science, XYLEM, Climate change, Biology, Article, General Biochemistry, Genetics and Molecular Biology, MECHANISMS, LIKELIHOOD, resistance, Magnoliopsida, recovery, Species Specificity, Stress, Physiological, parasitic diseases, Life Science, Résilience des écosystèmes, Bosecologie en Bosbeheer, Mortality, Resilience (network), udc:630*2:630*11:630*56(045)=111, resilience, 0105 earth and related environmental sciences, Resistance (ecology), AVAILABILITY, fungi, mehanizmi odpornosti, Water, General Chemistry, 15. Life on land, 11831 Plant biology, Survival Analysis, mortality, Forest Ecology and Forest Management, listavci, CLIMATE, Cycadopsida, Résistance à la sécheresse, PATTERNS, lcsh:Q, VEGETATION, Forest ecology, Adaptation, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, drevesa, Kennis, Technologie and Innovatie, 010606 plant biology & botany
Abstract: Severe droughts have the potential to reduce forest productivity and trigger tree mortality. Most trees face several drought events during their life and therefore resilience to dry conditions may be crucial to long-term survival. We assessed how growth resilience to severe droughts, including its components resistance and recovery, is related to the ability to survive future droughts by using a tree-ring database of surviving and now-dead trees from 118 sites (22 species, >3,500 trees). We found that, across the variety of regions and species sampled, trees that died during water shortages were less resilient to previous non-lethal droughts, relative to coexisting surviving trees of the same species. In angiosperms, drought-related mortality risk is associated with lower resistance (low capacity to reduce impact of the initial drought), while it is related to reduced recovery (low capacity to attain pre-drought growth rates) in gymnosperms. The different resilience strategies in these two taxonomic groups open new avenues to improve our understanding and prediction of drought-induced mortality., Resilience to drought is crucial for tree survival under climate change. Here, DeSoto et al. show that trees that died during drought were less resilient to previous dry events compared to surviving conspecifics, but the resilience strategies differ between angiosperms and gymnosperms.
Published: 2020
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23. Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models

Author: Kurt Christian Kersebaum, Frank Ewert, Carlos Gregorio Hernández Díaz-Ambrona, Pierre Martre, Fulu Tao, Tapio Salo, Camilla Dibari, Xenia Specka, Lucía Rodríguez, Roberto Ferrise, Amit Kumar Srivastava, G. Padovan, Taru Palosuo, Davide Cammarano, Margarita Ruiz-Ramos, M. Ines Minguez, Alan H. Schulman, Mikhail A. Semenov, Thomas Gaiser, Claas Nendel, Reimund P. Rötter, Jukka Höhn, Viikki Plant Science Centre (ViPS), Institute of Biotechnology, Natural Resources Institute Finland (LUKE), Georg-August-University [Göttingen], Centre for Biodiversity and Sustainable Land Use (CBL), Universidad Politécnica de Madrid (UPM), Rothamsted Research, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Department of Agronomy, Purdue University [West Lafayette], Crop Science Group, INRES, Rheinische Friedrich-Wilhelms-Universität Bonn, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of Helsinki, FACCE-MACSUR knowledge hub (031A103B), Academy of Finland through projects AI-CropPro (decision no. 316172), DivCSA (decision no. 316215), Natural Resources Institute Finland through strategic projects ClimSmartAgri and Boost-IA, German Federal Ministry of Education and Research, ‘Limpopo Living Landscapes’ project within the SPACES program (grant number 01LL1304A), IMPAC^3 project funded by the German Federal Ministry of Education and Research (FKZ 031A351A), MULCLIVAR CGL2012-38923-C02-02 from MINECO and by MACSUR01-UPM from INIA within FACCE-JPI, German Federal Ministry of Food and Agriculture (BMEL) through the Federal Office for Agriculture and Food (BLE), (2851ERA01J), German Ministry of Education and Research (BMBF), 031B0039C, FACCE-MACSUR project (031A103B) through the metaprogramme on Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA), FACCE-JPI project ClimBar (Academy of Finland decision 284987), JPI FACCE MACSUR2 through the Italian Ministry for Agricultural, Food, and Forestry Policies, Biotechnology and Biological Sciences Research Council (BBSRC) Designing Future Wheat project (BB/P016855/1)., European Project: 613556,EC:FP7:KBBE,FP7-KBBE-2013-7-single-stage,WHEALBI(2014), Georg-August-University = Georg-August-Universität Göttingen, Biotechnology and Biological Sciences Research Council (BBSRC), Università degli Studi di Firenze = University of Florence (UniFI), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), and Helsingin yliopisto = Helsingfors universitet = University of Helsinki
Subjects: 0106 biological sciences, Mediterranean climate, Atmospheric Science, 010504 meteorology & atmospheric sciences, AIR CO2 ENRICHMENT, Climate change, Crop growth simulation, Agricultural engineering, SIMULATION-MODELS, 01 natural sciences, NITROGEN DYNAMICS, Evapotranspiration, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Precipitation, ATMOSPHERIC CO2, FIELD EXPERIMENT, TEMPERATURE, 1172 Environmental sciences, 0105 earth and related environmental sciences, 2. Zero hunger, Global and Planetary Change, Biomass (ecology), RICE PHENOLOGY, WHEAT GROWTH, Crop growth stimulation, business.industry, Model improvement, Global warming, Uncertainty, Forestry, Agriculture, 15. Life on land, 11831 Plant biology, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation, Impact, Boreal, 13. Climate action, 415 Other agricultural sciences, Environmental science, business, ELEVATED CO2, Agronomy and Crop Science, 010606 plant biology & botany
Abstract: International audience; Robust projections of climate impact on crop growth and productivity by crop models are key to designing effective adaptations to cope with future climate risk. However, current crop models diverge strongly in their climate impact projections. Previous studies tried to compare or improve crop models regarding the impact of one single climate variable. However, this approach is insufficient, considering that crop growth and yield are affected by the interactive impacts of multiple climate change factors and multiple interrelated biophysical processes. Here, a new comprehensive analysis was conducted to look holistically at the reasons why crop models diverge substantially in climate impact projections and to investigate which biophysical processes and knowledge gaps are key factors affecting this uncertainty and should be given the highest priorities for improvement. First, eight barley models and eight climate projections for the 2050s were applied to investigate the uncertainty from crop model structure in climate impact projections for barley growth and yield at two sites: Jokioinen, Finland (Boreal) and Lleida, Spain (Mediterranean). Sensitivity analyses were then conducted on the responses of major crop processes to major climatic variables including temperature, precipitation, irradiation, and CO2, as well as their interactions, for each of the eight crop models. The results showed that the temperature and CO2 relationships in the models were the major sources of the large discrepancies among the models in climate impact projections. In particular, the impacts of increases in temperature and CO2 on leaf area development were identified as the major causes for the large uncertainty in simulating changes in evapotranspiration, above-ground biomass, and grain yield. Our findings highlight that advancements in understanding the basic processes and thresholds by which climate warming and CO2 increases will affect leaf area development, crop evapotranspiration, photosynthesis, and grain formation in contrasting environments are needed for modeling their impacts.
Published: 2020
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24. TRY plant trait database – enhanced coverage and open access

Author: Kattge, J., Bonisch, G., Diaz, S., Lavorel, S., Prentice, I. C., Leadley, P., Tautenhahn, S., Werner, G. D. A., Aakala, T., Abedi, M., Acosta, A. T. R., Adamidis, G. C., Adamson, K., Aiba, M., Albert, C. H., Alcantara, J. M., Alcazar, C C., Aleixo, I., Ali, H., Amiaud, B., Ammer, C., Amoroso, M. M., Anand, M., Anderson, C., Anten, N., Antos, J., Apgaua, D. M. G., Ashman, T. L., Asmara, D. H., Asner, G. P., Aspinwall, M., Atkin, O., Aubin, I., Baastrup-Spohr, L., Bahalkeh, K., Bahn, M., Baker, T., Baker, W. J., Bakker, J. P., Baldocchi, D., Baltzer, J., Banerjee, A., Baranger, A., Barlow, J., Barneche, D. R., Baruch, Z., Bastianelli, D., Battles, J., Bauerle, W., Bauters, M., Bazzato, E., Beckmann, M., Beeckman, H., Beierkuhnlein, C., Bekker, R., Belfry, G., Belluau, M., Beloiu, M., Benavides, R., Benomar, L., Berdugo-Lattke, M. L., Berenguer, E., Bergamin, R., Bergmann, J., Bergmann Carlucci, M., Berner, L., Bernhardt Romermann, M., Bigler, C., Bjorkman, A. D., Blackman, C., Blanco, C., Blonder, B., Blumenthal, D., Bocanegra Gonzalez, K. T., Boeckx, P., Bohlman, S., Bohning Gaese, K., Boisvert Marsh, L., Bond, W., Bond-Lamberty, B., Boom, A., Boonman, C. C. F., Bordin, K., Boughton, E. H., Boukili, V., Bowman, D. M. J. S., Bravo, S., Brende, l M. R., Broadley, M. R., Brown, K. A., Bruelheide, H., Brumnich, F., Bruun, H. H., Bruy, D., Buchanan, S. W., Bucher, S. F., Buchmann, N., Buitenwerf, R., Bunker, D. E., Burge, r J., Burrascano, S., Burslem, D. F. R. P., Butterfield, B. J., Byun, C., Marques, M., Scalon, M. C., Caccianiga, M., Cadotte, M., Cailleret, M., Camac, J., Camarero, J. J., Campany, C., Campetella, G., Campos, J. A., Cano Arboleda, L., Canullo, R., Carbognani, M., Carvalho, F., Casanoves, F., Castagneyrol, B., Catford, J. A., Cavender Bares, J., Cerabolini, B. E. L., Cervellini, M., Chacon Madrigal, E., Chapin, K., Chapin, F. S., Chelli, S., Chen, S. C., Chen, A., Cherubini, P., Chianucci, F., Choat, B., Chung, K. S., Chytry, M., Ciccarelli, D., Coll, L., Collins, C. G., Conti, L., Coomes, D., Cornelissen, J. H. C., Cornwell, W. K., Corona, P., Coyea, M., Craine, J., Craven, D., Cromsigt, J. P. G. M., Csecserits, A., Cufar, K., Cuntz, M., da Silva, A. C., Dahlin, K. M., Dainese, M., Dalke, I., Dalle Fratte, M., Dang Le, A. T., Danihelka, J., Dannoura, M., Dawson, S., de Beer, A. J., De Frutos, A., De Long, J. R., Dechant, B., Delagrange, S., Delpierre, N., Derroire, G., Dias, A. S., Diaz Toribio, M. H., Dimitrakopoulos, P. G., Dobrowolski, M., Doktor, D., Drevojan, P., Dong, N., Dransfield, J., Dressler, S., Duarte, L., Ducouret, E., Dullinger, S., Durka, W., Duursma, R., Dymova, O., E- Vojtko, A., Eckstein, R. L., Ejtehadi, H., Elser, J., Emilio, T., Engemann, K., Erfanian, M. B., Erfmeier, A., Esquivel Muelbert, A., Esser, G., Estiarte, M., Domingues, T. F., Fagan, W. F., Fagundez, J., Falster, D. S., Fan, Y., Fang, J., Farris, E., Fazlioglu, F., Feng, Y., Fernandez, Mendez, Ferrara, C., Ferreira, J., Fidelis, A., Finegan, B., Firn, J., Flowers, T. J., Flynn, D. F. B., Fontana, V., Forey, E., Forgiarini, C., Francois, L., Frangipani, M., Frank, D., Frenette Dussault, C., Freschet, G. T., Fry, E. L., Fyllas, N. M., Mazzochini, G. G., Gachet, S., Gallagher, R., Ganade, G., Ganga, F., Garcia Palacios, P., Gargaglione, V., Garnier, E., Garrido, J. L., de Gasper, A. L., Gea Izquierdo, G., Gibson, D., Gillison, A. N., Giroldo, A., Glasenhardt, M. C., Gleason, S., Gliesch, M., Goldberg, E., Goldel, B., Gonzalez Akre, E., Gonzalez Andujar, J. L., Gonzalez Melo, A., Gonzalez Robles, A., Graae, B. J., Granda, E., Graves, S., Green, W. A., Gregor, T., Gross, N., Guerin, G. R., Gunther, A., Gutierrez, A. G., Haddock, L., Haines, A., Hall, J., Hambuckers, A., Han, W., Harrison, S. P., Hattingh, W., Hawes, J. E., He, T., He, P., Heberling, J. M., Helm, A., Hempel, S., Hentschel, J., Herault, B., Heres, A. M., Herz, K., Heuertz, M., Hickler, T., Hietz, P., Higuchi, P., Hipp, A. L., Hirons, A., Hock, M., Hogan, J. A., Holl, K., Honnay, O., Hornstein, D., Hou, E., Hough Snee, N., Hovstad, K. A., Ichie, T., Igic, B., Illa, E., Isaac, M., Ishihara, M., Ivanov, L., Ivanova, L., Iversen, C. M., Izquierdo, J., Jackson, R. B., Jackson, B., Jactel, H., Jagodzinsk, A. M., Jandt, U., Jansen, S., Jenkins, T., Jentsch, A., Jespersen, J. R. P., Jiang, G. F., Johansen, J. L., Johnson, D., Jokela, E. J., Joly, C. A., Jordan, G. J., Joseph, G. S., Junaedi, D., Junker, R. R., Justes, E., Kabzems, R., Kane, J., Kaplan, Z., Kattenborn, T., Kavelenova, L., Kearsley, E., Kempel, A., Kenzo, T., Kerkhoff, A., Khalil, M. I., Kinlock, N. L., Kissling, W. D., Kitajima, K., Kitzberger, T., Kjoller, R., Klein, T., Kleyer, M., Klimesova, J., Klipel, J., Kloeppel, B., Klotz, S., Knops, J. M. H., Kohyama, T., Koike, F., Kollmann, J., Komac, B., Komatsu, K., Konig, C., Kraft, N. J. B., Kramer, K., Kreft, H., Kuhn, I., Kumarathune, D., Kuppler, J., Kurokawa, H., Kurosawa, Y., Kuyah, S., Laclau, J. P., Lafleur, B., Lallai, E., Lamb, E., Lamprecht, A., Larkin, D. J., Laughlin, D., Le Bagousse Pinguet, Y., le Maire, G., le Roux, P. C., le Roux, E., Lee, T., Lens, F., Lewis, S. L., Lhotsky, B., Li, Y., Li, X., Lichstein, J. W., Liebergesell, M., Lim, J. Y., Lin, Y. S., Linares, Y. C., Liu, C., Liu, D., Liu, U., Livingstone, S., Llusia, J., Lohbeck, M., Lopez Garcia, A., Lopez Gonzalez, G., Lososov, a Z., Louault, F., Lukacs, B. A., Lukes, P., Luo, Y., Lussu, M., Ma, S., Maciel Rabelo Pereira, C., Mack, M., Maire, V., Makela, A., Makinen, H., Malhado, A. C. M., Mallik, A., Manning, P., Manzoni, S., Marchetti, Z., Marchino, L., Marcilio Silva, V., Marcon, E., Marignani, M., Markesteijn, L., Martin, A., Martinez Garza, C., Martinez Vilalta, J., Maskova, T., Mason, K., Mason, N., Massad, T. J., Masse, J., Mayrose, I., Mccarthy, J., Mccormack, M. L., Mcculloh, K., Mcfadden, I., Mcgill, B. J., Mcpartland, M. Y., Medeiros, J., Medlyn, B., Meerts, P., Mehrabi, Z., Meir, P., Melo, F., P. L., Mencuccini, M., Meredieu, C., Messier, J., Meszaros, I., Metsaranta, J., Michaletz, S. T., Michelaki, C., Migalina, S., Milla, R., Miller, J., E. D., Minden, V., Ming, R., Mokany, K., Moles, A. T., Molnar, A., Molofsky, J., Molz, M., Montgomery, R. A., Monty, A., Moravcova, L., Moreno Martinez, A., Moretti, M., Mori, A. S., Mori, S., Morris, D., Morrison, J., Mucina, L., Mueller, S., Muir, C. D., Muller, S. C., Munoz, F., Myers Smith, I. H., Myster, R. W., Nagano, M., Naidu, S., Narayanan, A., Natesan, B., Negoita, L., Nelson, A. S., Neuschulz, E. L., Ni, J., Niedrist, G., Nieto, J., Niinemets, U., Nolan, R., Nottebrock, H., Nouvellon, Y., Novakovskiy, A., Nystuen, K. O., O'Grady, A., O'Hara, K., O'Reilly Nugent, A., Oakley, S., Oberhuber, W., Ohtsuka, T., Oliveira, R., Ollerer, K., Olson, M. E., Onipchenko, V., Onoda, Y., Onstein, R. E., Ordonez, J. C., Osada, N., Ostonen, I., Ottaviani, G., Otto, S., Overbeck, G. E., Ozinga, W. A., Pahl, A. T., Paine, C. E. T., Pakeman, R. J., Papageorgiou, A. C., Parfionova, E., Partel, M., Patacca, M., Paula, S., Paule, J., Pauli, H., Pausas, J., Peco, B., Penuelas, J., Perea, A., Peri, P. L., Petisco Souza, A. C., Petraglia, A., Petritan, A. M., Phillips, O. L., Pierce, S., Pillar, V. D., Pisek, J., Pomogaybin, A., Poorter, H., Portsmuth, A., Poschlod, P., Potvin, C., Pounds, D., Powell, A., Power, S. A., Prinzing, A., Puglielli, G., Pysek, P., Raevel, V., Rammig, A., Ransijn, J., Ray, C. A., Reich, P. B., Reichstein, M., Reid, D. E. B., Rejou Mechain, M., de Dios, V. R., Ribeiro, S., Richardson, S., Riibak, K., Rillig, M. C., Riviera, F., Robert, E. M. R., Roberts, S., Robroek, B., Roddy, A., Rodrigues, A. V., Rogers, A., Rollinson, E., Rolo, V., Romermann, C., Ronzhina, D., Roscher, C., Rosell, J. A., Rosenfield, M. F., Rossi, C., Roy, D. B., Royer Tardif, S., Ruger, N., Ruiz Peinado, R., Rumpf, S. B., Rusch, G. M., Ryo, M., Sack, L., Saldana, A., Salgado Negret, B., Salguero Gomez, R., Santa Regina, I., Santacruz Garcia, A. C., Santos, J., Sardans, J., Schamp, B., Scherer Lorenzen, M., Schleuning, M., Schmid, B., Schmidt, M., Schmitt, S., Schneider, J. V., Schowanek, S. D., Schrader, J., Schrodt, F., Schuldt, B., Schurr, F., Selaya Garvizu, G., Semchenko, M., Seymour, C., Sfair, J. C., Sharpe, J. M., Sheppard, C. S., Sheremetiev, S., Shiodera, S., Shipley, B., Shovon, T. A., Siebenkas, A., Sierra, C., Silva, V., Silva, M., Sitzia, T., Sjoman, H., Slot, M., Smith, N. G., Sodhi, D., Soltis, P., Soltis, D., Somers, B., Sonnier, G., Sorensen, M. V., Sosinski, E. E., Soudzilovskaia, N. A., Souza, A. F., Spasojevic, M., Sperandii, M. G., Stan, A. B., Stegen, J., Steinbauer, K., Stephan, J. G., Sterck, F., Stojanovic, D. B., Strydom, T., Suarez, M. L., Svenning, J. C., Svitkova, I., Svitok, M., Svoboda, M., Swaine, E., Swenson, N., Tabarelli, M., Takagi, K., Tappeiner, U., Tarifa, R., Tauugourdeau, S., Tavsanoglu, C., te Beest, M., Tedersoo, L., Thiffault, N., Thom, D., Thomas, E., Thompson, K., Thornton, P. E., Thuiller, W., Tichy, L., Tissue, D., Tjoelker, M. G., Tng, D. Y. P., Tobias, J., Torok, P., Tarin, T., Torres Ruiz, J. M., Tothmeresz, B., Treurnicht, M., Trivellone, V., Trolliet, F., Trotsiuk, V., Tsakalos, J. L., Tsiripidis, I., Tysklind, N., Umehara, T., Usoltsev, V., Vadeboncoeur, M., Vaezi, J., Valladares, F., Vamosi, J., van Bodegom, P. M., van Breugel, M., Van Cleemput, E., van de Weg, M., van der Merwe, S., van der Plas, F., van der Sande, M. T., van Kleunen, M., Van Meerbeek, K., Vanderwel, M., Vanselow, K. A., Varhammar, A., Varone, L., Vasquez Valderrama, M. Y., Vassilev, K., Vellend, M., Veneklaas, E. J., Verbeeck, H., Verheyen, K., Vibrans, A., Vieira, I., Villacis, J., Violle, C., Vivek, P., Wagner, K., Waldram, M., Waldron, A., Walker, A . P., Waller, M., Walther, G., Wang, H., Wang, F., Wang, W., Watkins, H., Watkins, J., Weber, U., Weedon, J. T., Wei, L., Weigelt, P., Weiher, E., Wells, A. W., Wellstein, C., Wenk, E., Westoby, M., Westwood, A., White, P. J., Whitten, M., Williams, M., Winkler, D. E., Winter, K., Womack, C., Wright, I. J., Wright, S. J., Wright, J., Pinho, B. X., Ximenes, F., Yamada, T., Yamaji, K., Yanai, R., Yankov, N., Yguel, B., Zanini, K. J., Zanne, A. E., Zeleny, D., Zhao, Y. P., Zheng, J., Zieminska, K., Zirbel, C. R., Zizka, G., Zo Bi, I. C., Zotz, G., Wirth, C., Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant - Clermont Auvergne (PIAF), Université Clermont Auvergne (UCA)-Institut National de la Recherche Agronomique (INRA), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Biodiversité, Gènes & Communautés (BioGeCo), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecologie des forêts de Guyane (UMR ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Unité Expérimentale Forêt Pierroton (UEFP), Institut National de la Recherche Agronomique (INRA), Max Planck Institute for Biogeochemistry Max Planck SocietyFoundation CELLEX German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig International Programme of Biodiversity Science (DIVERSITAS) International Geosphere-Biosphere Programme (IGBP) French Foundation for Biodiversity Research (FRB) GIS 'Climat, Environnement et Societe' France AXA Research Fund NERC Natural Environment Research Council Future Earth, Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, German Centre for Integrative Biodiversity Research (iDiv), Instituto Multidisciplinario de Biología Vegetal [Córdoba] (IMBIV), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Facultad de Ciencias Exactas, Físicas y Naturales [Córdoba], Universidad Nacional de Córdoba [Argentina]-Universidad Nacional de Córdoba [Argentina], Laboratoire d'Ecologie Alpine (LECA ), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Imperial College London, Ecologie Systématique et Evolution (ESE), AgroParisTech-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Department of Zoology [Oxford], University of Oxford, Balliol College, Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Tarbiat Modares University [Tehran], Università degli Studi Roma Tre = Roma Tre University (ROMA TRE), Department of Environment [Aegean], University of the Aegean, Institute of Ecology and Evolution [Bern, Switzerland], University of Bern, University of Tartu, Tohoku University [Sendai], Institut méditerranéen de biodiversité et d'écologie marine et continentale (IMBE), Avignon Université (AU)-Aix Marseille Université (AMU)-Institut de recherche pour le développement [IRD] : UMR237-Centre National de la Recherche Scientifique (CNRS), Universidad de Jaén (UJA), Instituto Alexander Von Humboldt, Bogota, Colombia, National Institute of Amazonian Research (INPA), Manaus, Brazil, Botany Department, Faculty of Science, Suez Canal University, Ismailia, Egypt, Laboratoire Agronomie et Environnement - Antenne Colmar (LAE-Colmar ), Laboratoire Agronomie et Environnement (LAE), Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Forest Sciences, University of Göttingen, Göttingen, Germany, Centre for Biodiversity and Sustainable Land-use [University of Göttingen] (CBL), Georg-August-University = Georg-August-Universität Göttingen, Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD), Universidad Nacional de Río Negro, El Bolsón, Argentina, Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET), School of Environmental Sciences, University of Guelph, Pacific Northwest National Laboratory, Richland, WA, USA, University of Massachusetts [Amherst] (UMass Amherst), University of Massachusetts System (UMASS), Centre for Crop Systems Analysis, Wageningen University and Research [Wageningen] (WUR), University of Victoria [Canada] (UVIC), College of Science & Engineering, James Cook University, Smithfield, Qld, Australia, University of Pittsburgh, Pittsburgh, PA, USA, Centre for Forest Research, Institute for Integrative Systems Biology, Université Laval, Quebec, QC, Canada, Arizona State University, Tempe, AZ, USA, University of North Florida [Jacksonville] (UNF), Australian National University (ANU), Great Lakes Forestry Centre, Canadian Forest Service, Natural Resources Canada, Sault Ste. Marie, ON, Canada, Department of Biology [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Department of Ecology [Innsbruck], Leopold Franzens Universität Innsbruck - University of Innsbruck, University of Leeds, Royal Botanic Gardens Kew, Richmond, UK, Conservation Ecology, Groningen Institute for Evolutionary Life Sciences (GELIFES), University of Groningen, Groningen, The Netherlands, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Biology Department, Wilfrid Laurier University, Waterloo, ON, Canada, Department of Forest Resources, University of Minnesota, St. Paul, MN, USA, AgroParisTech, Lancaster Environment Centre, Lancaster University, University of Exeter, University of Adelaide, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Département Environnements et Sociétés (Cirad-ES), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), University of California [Berkeley] (UC Berkeley), University of California (UC), Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA, Universiteit Gent = Ghent University (UGENT), Università degli Studi di Cagliari = University of Cagliari (UniCa), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Royal Museum for Central Africa, Tervuren, Belgium, Bayreuth Center of Ecology and Environmental Research (BayCEER), Groningen Institute of Archaeology (GIA), University of Groningen, Groningen, The Netherlands, Department of Biological Sciences, University of Tennessee, Knoxville, TN, USA, Rocky Mountain Biological Laboratory, Crested Butte, CO, USA, Département des Science, Université du Québec À Montréal, Montreal, QC, Canada, Department of Biogeography, University of Bayreuth, Bayreuth, Germany, Museo Nacional de Ciencias Naturales [Madrid] (MNCN), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Université Laval, Quebec, QC, Canada, Instituto de Ciencias Naturales, Universidad Nacional de Colombia, Bogota, Colombia, Fundación Natura, Bogota, Colombia, Environmental Change Institute, Laboratório de Estudos em Vegetação Campestre (LEVCamp), Programa de Pós-Graduação em Botânica, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Freie Universität Berlin, Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany, Laboratório de Ecologia Funcional de Comunidades (LABEF), Departamento de Botânica, Universidade Federal do Paraná, Curitiba, Brazil, School of Informatics, Computing, and Cyber Systems (SICCS), Northern Arizona University [Flagstaff], Institute of Ecology and Evolution, Friedrich Schiller University Jena, Jena, Germany, ETH Zurich, Universitatstrasse 16, 8092 Zurich, Switzerland, University of Gothenburg (GU), Laboratoire de Physique et Physiologie Intégratives de l’Arbre en environnement Fluctuant (PIAF), Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), School of Life Sciences, Arizona State University, Tempe, AZ, USA, USDA-ARS Rangeland Resources & Systems Research Unit, Fort Collins, CO, USA, Grupo de Investigación en Biodiversidad y Dinámica de Ecosistémas Tropicales - Universidad del Tolima, Ibagué, Colombia, Laboratory of Applied Physical Chemistry - ISOFYS (Gent, Belgium), School of Forest Resources and Conservation [Gainesville] (UF|IFAS|FFGS), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Senckenberg Biodiversity and Climate Research Centre, Frankfurt am Main, Germany, Department of Biological Sciences, Goethe Universität Frankfurt, Frankfurt am Main, Germany, Department of Biological Sciences, University of Cape Town, Cape Town, South Africa, SAEON Fynbos Node, Claremont, South Africa, Pacific Northwest National Laboratory, College Park, MD, USA, University of Leicester, Department of Environmental Science, Institute for Water and Wetland Research, Radboud University, Nijmegen, The Netherlands, Laboratório de Ecologia Vegetal (LEVEG), Programa de Pós-Graduação em Ecologia, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Archbold Biological Station’s Buck Island Ranch, FL, Lake Placid, USA, Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA, University of Tasmania [Hobart, Australia] (UTAS), Facultad de Ciencias Forestales, Universidad Nacional de Santiago del Estero, Santiago del Estero, Argentina, Universität Hohenheim, School of Geography, University of Nottingham, Nottingham, UK, Department of Geography and Geology, Kingston University, Kingston upon Thames, UK, Martin-Luther-Universität Halle Wittenberg (MLU), Facultad de Ingeniería y Ciencias Hídricas, Universidad Nacional del Litoral (FICH-UNL), Santa Fe, Argentina, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), University of Toronto at Scarborough, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Section for Ecoinformatics and Biodiversity, Department of Bioscience, Aarhus University, Aarhus, Denmark, Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Bioscience, Aarhus University, Aarhus, Denmark, New Jersey Institute of Technology [Newark] (NJIT), University of Rostock, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), School of Biological Sciences, University of Aberdeen, Aberdeen, UK, Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA, School of Civil and Environmental Engineering, Yonsei University, Seoul, Korea, Departamento de Botânica, SCB, UFPR – Federal University of Parana, Curitiba, Brazil, Centro Politécnico, Universidade Federal do Paraná, Curitiba, Brazil, Università degli Studi di Milano = University of Milan (UNIMI), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Environmental Systems Science, ETH Zürich, Zürich, Switzerland, Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Centre of Excellence for Bioscurity Risk Analysis, The University of Melbourne, Melbourne, Vic., Australia, Centro de Investigaciones Biológicas (CSIC), Colgate University, Hamilton, NY, USA, School of Biosciences and Veterinary Medicine, Plant Diversity and Ecosystems Management Unit, University of Camerino, Camerino, Italy, University of the Basque Country/Euskal Herriko Unibertsitatea (UPV/EHU), Departamento de Geociencias y Medio Ambiente, Universidad Nacional de Colombia, Medellin, Colombia, Università degli studi di Parma = University of Parma (UNIPR), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Université de Bordeaux (UB)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Geography, King’s College London, London, UK, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Universitá degli Studi dell’Insubria = University of Insubria [Varese] (Uninsubria), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Universidad de Costa Rica (UCR), University of Arizona, Institute of Arctic Biology, University of Alaska [Fairbanks] (UAF), Royal Botanic Gardens [Kew], Department of Biology [Fort Collins], Colorado State University [Fort Collins] (CSU), WSL Swiss Federal Research Institute, Birmensdorf, Switzerland, Faculty of Forestry, University of British Columbia, Vancouver, BC, Canada, CREA – Research Centre for Forestry and Wood, Arezzo, Italy, Western Sydney University, ungwon University, Goesan, Chungbuk, Korea, Department of Botany and Zoology [Brno] (SCI / MUNI), Faculty of Science [Brno] (SCI / MUNI), Masaryk University [Brno] (MUNI)-Masaryk University [Brno] (MUNI), University of Pisa - Università di Pisa, Department of Agriculture and Forest Engineering (EAGROF), University of Lleida, Lleida, Spain, Joint Research Unit CTFC – AGROTECNIO, Solsona, Spain, University of California Riverside, Riverside, CA, USA, Faculty of Environmental Sciences, University of Life Sciences Prague, Institute of Botany of the Czech Academy of Sciences (IB / CAS), Czech Academy of Sciences [Prague] (CAS), University of Cambridge [UK] (CAM), Systems Ecology, Department of Ecological Science, Vrije Universiteit, Amsterdam, The Netherlands, School of Biological, Earth and Environmental Sciences, UNSW Sydney, Sydney, NSW, Australia, Faculté de foresterie, de géographie et de géomatique, Université Laval, Quebec, QC, Canada, Jonah Ventures, Boulder, CO, USA, Centro de Modelación y Monitoreo de Ecosistemas, Universidad Mayor, Santiago, Chile, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Centre for African Conservation Ecology, Department of Zoology, Nelson Mandela University, Port Elizabeth, South Africa, MTA Centre for Ecological Research [Tihany], Hungarian Academy of Sciences (MTA), University of Ljubljana, Santa Catarina State University, Lages, SC, Brazil, Department of Geography, Environment, and Spatial Sciences, Michigan State University, East Lansing, MI, USA, Eurac Research, Institute for Alpine Environment, Bozen-Bolzano, Italy, Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, Syktyvkar, Komi Republic, Russia, University of Science – Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam, Graduate School of Agriculture, Kyoto University, Kyoto, Japan, Graduate School of Global Environmental Studies, Kyoto University, Kyoto, Japan, Swedish Species Information Centre, University of Pretoria [South Africa], Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany, Department of Terrestrial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands, Department Computational Landscape Ecology [UFZ Leipsig], Department Computational Hydrosystems, UFZ – Helmholtz Centre for Environmental Research, Leipzig, Germany, Seoul National University [Seoul] (SNU), Institute of Temperate Forest Sciences (ISFORT), Ripon, QC, Canada, UQO, Department of Natural Sciences, Ripon, QC, Canada, Université Paris-Sud - Paris 11 (UP11)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Université de Guyane (UG)-Centre National de la Recherche Scientifique (CNRS)-Université des Antilles (UA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Goethe-Universität Frankfurt am Main, University of Florida [Gainesville] (UF), The University of Western Australia (UWA), School of Biological Sciences, The University of Western Australia, Department of Biological Sciences, Macquarie University, Department of Botany and Molecular Evolution, Senckenberg Research Institute and Natural History Museum, Universität Wien, Karlstad University [Sweden], Ferdowsi University of Mashhad (FUM), Flathead Lake Biological Station, University of Montana, School of Sustainability, Arizona State University, Programa Nacional de Pós-Doutorado (PNPD), Programa de Pós Graduação em Ecologia, Institute of Biology, University of Campinas UNICAMP, Institute for Ecosystem Research/Geobotany, Kiel University, School of Geography, Earth and Environmental Sciences [Birmingham], University of Birmingham [Birmingham], Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona (UAB), FFCLRP-USP, Department of Biology [USA], University of Maryland [College Park], University of Maryland System-University of Maryland System, University of A Coruña (UDC), School of Physics [UNSW Sydney] (UNSW), University of New South Wales [Sydney] (UNSW), Icahn School of Medicine at Mount Sinai [New York] (MSSM), University of Peking, Peking University [Beijing], Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), Ordu University - Ordu Üniversitesi, Lanzhou University, Universidad del Tolima, Research Centre for Forestry and Wood, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Brazilian Agricultural Research Corporation (Embrapa), Universidade de São Paulo = University of São Paulo (USP), Centro Agronomico Tropical de Investigacion y Ensenanza (CATIE), Queensland University of Technology [Brisbane] (QUT), University of Sussex, Harvard University, Institute for Alpine Environment, European Academy of Bozen-Bolzano (EURAC), Étude et compréhension de la biodiversité (ECODIV), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Laboratoire de Physique Atmosphérique et Planétaire (LPAP), Université de Liège, Université de Sherbrooke (UdeS), Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, University of Manchester [Manchester], Universidade Estadual de Campinas = University of Campinas (UNICAMP), Macquarie University, Universidade Federal do Rio Grande do Norte [Natal] (UFRN), Universidad Rey Juan Carlos [Madrid] (URJC), Universidad Nacional de la Patagonia Austral (UNPA), Universidade Regional de Blumenau (FURB), INIA-CIFOR, Southern Illinois University [Carbondale] (SIU), Center for Biodiversity Management, Instituto Federal de Educação Ciência e Tecnologia do Cearà, The Morton Arboretum, United States Department of Agriculture (USDA), Swiss Federal Institute of Technology, Aarhus University [Aarhus], Smithsonian Conservation Biology Institute, Centre Supérieur de la Recherche Scientifique (CSIC), Centre Supérieur de la Recherche Scientifique, Universidad del Rosario [Bogota], Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU), Université Paris Sud (Paris 11), Senckenberg Research Institutes and Natural History Museums, Universidad de Chile = University of Chile [Santiago] (UCHILE), Joint Global Change Research Institute, Pacific Northwest National Laboratory (PNNL)-University of Maryland [College Park], Smithsonian Tropical Research Institute, University of Liege, Université de Liège - Gembloux, Institut Pasteur de Shanghai, Académie des Sciences de Chine - Chinese Academy of Sciences (IPS-CAS), Réseau International des Instituts Pasteur (RIIP), University of Bristol [Bristol], University of the Witwatersrand [Johannesburg] (WITS), Norwegian University of Life Sciences (NMBU), Murdoch University, Carnegie Museum of Natural History [Pittsburgh], Transilvania University of Brasov, Martin-Luther-University Halle-Wittenberg, Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Goethe-Universität Frankfurt am Main-Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Universität für Bodenkultur Wien = University of Natural Resources and Life [Vienne, Autriche] (BOKU), Santa Catarina State University (UDESC), University Centre Myerscough, Kiel University, Florida International University [Miami] (FIU), Division of Plant Ststematic and Ecology, Biology department, Université Catholique de Louvain = Catholic University of Louvain (UCL), University of Applied Sciences of Weihenstephan, Four Peaks Environmental Science and Data Solutions, Norsk institutt for bioøkonomi=Norwegian Institute of Bioeconomy Research (NIBIO), Kochi University of Technology (KUT), University of Illinois [Chicago] (UIC), University of Illinois System, Universitat de Barcelona (UB), Kyoto University, Tyumen State University, Oak Ridge National Laboratory [Oak Ridge] (ORNL), UT-Battelle, LLC, Universitat Politècnica de Catalunya [Barcelona] (UPC), Stanford University, University of Edinburgh, Polish Academy of Sciences (PAN), Philips Research Europe - Hamburg, Sector Medical Imaging Systems, Philips Research, Institute for Systematic Botany and Ecology, Universität Ulm - Ulm University [Ulm, Allemagne], Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Universität Bayreuth, University of Copenhagen = Københavns Universitet (UCPH), Guangxi Normal University, University College of London [London] (UCL), Hobart - Tasmania 7001, University of Venda [South Africa] (UNIVEN), University of Melbourne, Philipps Universität Marburg = Philipps University of Marburg, Agrosystèmes Cultivés et Herbagers (ARCHE), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse (ENSAT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Natural Resource Operations and Rural Development, Humboldt State University (HSU), Charles University [Prague] (CU), Karlsruhe Institute of Technology (KIT), Samara National Research University, Institute of Plant Sciences, Forestry and Forest Products Research Institute (FFPRI), Kenyon College, University of Garmian, State University of New York (SUNY), Institute for Biodiversity and Ecosystem Dynamics (IBED), University of Amsterdam [Amsterdam] (UvA), Universidad Nacional del Comahue [Neuquén] (UNCOMA), IT University of Copenhagen (ITU), Agricultural Research Organization, Landscape Ecology Group, University of Oldenburg, Western Carolina University, Xi'an Jiaotong-Liverpool University [Suzhou], Hokkaido University [Sapporo, Japan], Yokohama National University, Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Institut d Estudis Andorrans, Smithsonian Environmental Research Center (SERC), Humboldt University Of Berlin, University of California [Los Angeles] (UCLA), Department of Biodiversity, Macroecology and Biogeography, Yamagata University, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - Montpellier SupAgro, Université du Québec en Abitibi-Témiscamingue (UQAT), University of Saskatchewan [Saskatoon] (U of S), University of Natural Resources and Life Sciences, Institute of Mountain Risk Engineering - Vienna, Austria, University of Wyoming (UW), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Nelson Mandela University [Port Elizabeth], University of Wisconsin - Eau Claire, Naturalis Biodiversity Center [Leiden], Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Yangzhou University, Leipzig University, University Pablo de Olavide, Shanghai Jiao Tong University [Shanghai], Royal Botanical Gardens, Masaryk University [Brno] (MUNI), Department of Physiology, University of Debrecen Egyetem [Debrecen]-Research Centre for Molecular Medicine-Medical and Health Science Centre, Global Change Research Centre (CzechGlobe), Université du Québec à Trois-Rivières (UQTR), Natural Resources Institute Finland (LUKE), Universidade Federal de Alagoas = Federal University of Alagoas (UFAL), Lakehead University, Stockholm University, Universidad Nacional del Litoral [Santa Fe] (UNL), Universidade Federal do Paraná (UFPR), Bangor University, Universidad Autonoma del Estado de Morelos (UAEM), Manaaki Whenua – Landcare Research [Lincoln], Gorongosa National Park, Université de Montréal (UdeM), Tel Aviv University (TAU), University of Queensland [Brisbane], University of Wisconsin-Madison, University of Maine, Holden Arboretum, Hawkesbury Institute for he Environment, Laboratoire d'Ecologie Végétale et Biogéochimie, Université libre de Bruxelles (ULB), University of British Columbia (UBC), Research School of Biology, Universidade Federal de Pernambuco [Recife] (UFPE), School of Geosciences [Edinburgh], Ecology and Evolutionary Biology [Tucson] (EEB), University of Debrecen, Northern Forestry Centre, Canadian Forest Service - CFS (CANADA), University of Illinois at Urbana-Champaign [Urbana], Data61 [Canberra] (CSIRO), Australian National University (ANU)-Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Debrecen Egyetem [Debrecen], University of Vermont [Burlington], Fundação Zoobotânica do Rio Grande do Sul, University of Montana, Institut de RadioAstronomie Millimétrique (IRAM), Centre National de la Recherche Scientifique (CNRS), University of Freiburg [Freiburg], University of Hawaii, Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Oklahoma State University [Stillwater] (OSU), Osaka City University, Charles Darwin Research Station (CDRS), Charles Darwin Foundation, Los Alamos National Laboratory (LANL), Zhejiang Normal University, European Academy of Bolzano, Universidad Distrital Francisco Jose de Caldas [Bogota], University of Bayreuth, Institute of Biology of Komi Scientific Centre of the Ural Branch of the Russian Academy of Sciences, Russian Academy of Sciences [Moscow] (RAS), CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Canberra, CEH, Department of Systems and Science, Graduate School of Informatics, Kyoto University-Kyoto University, Departamento de Telemática, Faculdade de Engenharia Elétrica e de Computação (DT/FEEC), Universidad Nacional Autónoma de México = National Autonomous University of Mexico (UNAM), Moscow State University, Vrije Universiteit Amsterdam [Amsterdam] (VU), Meijo University, Institute of Ecology and Earth Sciences [Tartu], Astronomical Institute of the Czech Academy of Sciences (ASU / CAS), University of Nijmegen, University of New England (UNE), The James Hutton Institute, Democritus University of Thrace (DUTH), Institute of Ecology and Earth Sciences, University of Tartu, Spanish National Research Council (CSIC), Senckenberg Research Institute and Natural History Museum, University of Vienna [Vienna], Center for Desertification Research (CIDE), Universitat de València (UV), Universidad Autónoma de Madrid (UAM), Université de Jaén, National Institute for Research and Development in Forestry, Department of Plant Production (University of Milan), Tartu Observatory, Botanical Garden of the Samara University, Forschungszentrum Jülich GmbH, Tallinn University, Universität Regensburg (REGENSBURG), Universität Regensburg, School of Social Sciences [Cardiff], Cardiff University, Estonian University of Life Sciences (EMU), Sch Life Sci Weihenstephan, Arizona State University [Tempe] (ASU), Department of Forest Resources, University of Minnesota System-University of Minnesota System, Research Institute for Networks and Communications Engineering (RINCE), Dublin City University [Dublin] (DCU)-Science Foundation Ireland-Enterprise Ireland-Higher Education Authority-School of Electronic Engineering, Southwest University of Science and Technology [Mianyang] (SWUST), Universidade Federal do Acre (UFAC), Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Centre méditérannéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Mississippi State University [Mississippi], University of Southampton, Yale University [New Haven], Brookhaven National Laboratory [Upton, NY] (BNL), UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY)-U.S. Department of Energy [Washington] (DOE), East Stroudsburg University, INDEHESA, Forestry School, Universidad de Extremadura - University of Extremadura (UEX), Institute of Physical Geography [Frankfurt am Main], Universität Zürich [Zürich] = University of Zurich (UZH), Lake Ecosystems Group [Lancaster, U.K.] (Centre for Ecology & Hydrology), Lancaster Environment Centre [Lancaster, U.K.], University of Valladolid, Norwegian Institute for Nature Research (NINA), Universidad Nacional de Colombia [Bogotà] (UNAL), Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA), Universidade de Coimbra [Coimbra], Algoma University, Senckenberg biodiversität und klima forschungszentrum (BIK-F), Forschungsinstitut Senckenberg (SGN), University of Nottingham, UK (UON), University of Würzburg = Universität Würzburg, Agence Française de Sécurité Sanitaire des Aliments (AFSSA), Herencia, Kirstenbosch Research Centre, South African National Biodiversity Institute, Federal University of Pernambuco [Recife], Sharplex Services, University of Hohenheim, Komarov Botanical Institute RAS, Center for Sustainability Science, Hokkaido, Département de Biologie, University of Regina (UR), Technische Universität Ilmenau (TU ), Universidade de Lisboa = University of Lisbon (ULISBOA), Universidade Federal de Lavras = Federal University of Lavras (UFLA), Università degli Studi di Padova = University of Padua (Unipd), Gothenburg Global Biodiversity Centre, Department of Biology [Gainesville] (UF|Biology), Texas Tech University [Lubbock] (TTU), Florida Museum of Natural History [Gainesville], KU Leuven, Embrapa Recursos Genéticos e Biotecnologia [Brasília], Universiteit Leiden, University of California [Riverside] (UC Riverside), Pacific Northwest National Laboratory (PNNL), University of Natural Resources and Applied Life Sciences, Vienna, (BOKU) and Competence Centre Wood K plus, University of Novi Sad, Instituto Nacional de Investigaciones en Biodiversidad y Medioambiente [Bariloche] (INIBIOMA-CONICET), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional del Comahue [Neuquén] (UNCOMA), Slovak Academy of Sciences (SAS), Technical University in Zvolen (TUZVO), Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague (CZU), University of Aberdeen, University of Maryland System, Universität Innsbruck [Innsbruck], Estacion Experimental de Zonas Aridas, Hacettepe University = Hacettepe Üniversitesi, Centre for Forest Research (CFR), Université du Québec à Montréal = University of Québec in Montréal (UQAM), Bioversity International [Montpellier], Bioversity International [Rome], Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Department of Animal and Plant Sciences [Sheffield], University of Sheffield [Sheffield], The School for Field Studies, Quantum Optics and Laser Science, Blackett Laboratory, Blackett Laboratory, Imperial College London-Imperial College London, University of Delaware [Newark], Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Biodiversity and Ecosystem Services Research Group, Stellenbosch University, Czech University of Life Science, Aristotle University of Thessaloniki, Osaka Natural History Center, Ural State Forest Engineering University, University of New Hampshire (UNH), University of Calgary, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Hawkesbury Institute for the Environment [Richmond] (HIE), Computational & Applied Vegetation Ecology (CAVElab), Dept Forest & Water Management, Lab Forestry, Museu Paraense Emílio Goeldi, Federal University of Para - Universidade Federal do Pará - UFPA [Belém, Brazil] (UFPA), State Key Laboratory of Natural and Biomimetic Drugs, Fudan University [Shanghai], Department of Ecological Science [Amsterdam], Vrije Universiteit Brussel (VUB), Laboratoire de Biologie des Ligneux et des Grandes Cultures (LBLGC), Université d'Orléans (UO)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Biology, Free University of Bozen-Bolzano, Dpt Biological Sciences, Macquarie University, Duke University [Durham], IFP Energies nouvelles (IFPEN), Department of Primary Industries, Graduate School of Integrated Arts and Sciences, Hiroshima University, Université de Tsukuba = University of Tsukuba, SUNY College of Environmental Science and Forestry (SUNY-ESF), Biological Sciences Department (BIOLOGICAL SCIENCES DEPARTMENT), Nanjing University (NJU), National Taiwan University [Taiwan] (NTU), Zhejiang University, Beijing Forestry University, Institut National Polytechnique Félix Houphouët-Boigny, Universität Leipzig, Max Planck Fellow Program for Christian Wirth, the International Programme of Biodiversity Science (DIVERSITAS), the International Geosphere‐Biosphere Programme (IGBP), Future Earth, the French Foundation for Biodiversity Research (FRB), and GIS ‘Climat, Environnement et Société’ France, JENS KATTGE, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, ELLEN L. FRY, UNIVERSITY OF LIÈGE, BELGIUM, NIKOLAOS M. FYLLAS, UNIVERSITY OF THE AEGEAN, GREECE, GERHARD BÖNISCH, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, SUSANNE TAUTENHAHN, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, JENA, GERMANY, GIJSBERT D. A. WERNER, UNIVERSITY OF OXFORD, OXFORD, UK, TUOMAS AAKALA, UNIVERSITY OF HELSINKI, FINLAND, MEHDI ABEDI, TARBIAT MODARES UNIVERSITY, IRAN, ALICIA T. R. ACOSTA, UNIVERSITY OF ROMA TRE, ITALY, GEORGE C. ADAMIDIS, UNIVERSITY OF BERN, SWITZERLAND, KAIRI ADAMSON, UNIVERSITY OF TARTU, ESTONIA, MASAHIRO AIBA, TOHOKU UNIVERSITY, JAPAN., CÉCILE H. ALBERT, AIX MARSEILLE UNIV, UNIV AVIGNON, FRANCE., JULIO M. ALCÁNTARA, UNIVERSIDAD DE JAÉN, SPAIN, CAROLINA ALCÁZAR C, Instituto Alexander Von Humboldt, Colombia., HAMADA ALI, SUEZ CANAL UNIVERSITY, EGYPT, BERNARD AMIAUD, UNIVERSITÉ DE LORRAINE, FRANCE., CHRISTIAN AMMER, UNIVERSITY OF GÖTTINGEN, GERMANY, MARIANO M. AMOROSO, UNIVERSIDAD NACIONAL DE RÍO NEGRO, ARGENTINA, MADHUR ANAND, UNIVERSITY OF GUELPH, CANADA., MARIJN BAUTERS, GHENT UNIVERSITY, BELGIUM., ERIKA BAZZATO, UNIVERSITY OF CAGLIARI, ITALY., MICHAEL BECKMANN, Helmholtz Centre for Environmental Research, Germany., HANS BEECKMAN, ROYAL MUSEUM FOR CENTRAL AFRICA, BELGIUM., CARL BEIERKUHNLEIN, UNIVERSITY OF BAYREUTH, GERMANY., RENEE BEKKER, UNIVERSITY OF GRONINGEN, THE NETHERLANDS., JOANA BERGMANN, FREIE UNIVERSITÄT BERLIN, GERMANY., MARCOS BERGMANN CARLUCCI, UFPC, LOGAN BERNER, NORTHERN ARIZONA UNIVERSITY, USA., MARKUS BERNHARDT-RÖMERMANN, FRIEDRICH SCHILLER UNIVERSITY JENA, GERMANY., CHRISTOF BIGLER, ETH ZURICH, SWITZERLAND., FEDERICO BRUMNICH, UNIVERSIDAD NACIONAL DEL LITORAL (FICH-UNL), ARGENTINA, HANS HENRIK BRUUN, UNIVERSITY OF COPENHAGEN, DENMARK, DAVID BRUY, UNIVERSITÉ DE MONTPELLIER, FRANCE, SERRA W. BUCHANAN, UNIVERSITY OF TORONTO SCARBOROUGH, CANADA, ROBERT BUITENWERF, AARHUS UNIVERSITY, DENMARK, DANIEL E. BUNKER, NEW JERSEY INSTITUTE OF TECHNOLOGY, USA, JANA BÜRGER, UNIVERSITY OF ROSTOCK, GERMANY, SABINA BURRASCANO, SAPIENZA UNIVERSITY OF ROME, ITALY, DAVID F. R. P. BURSLEM, UNIVERSITY OF ABERDEEN, UK, BRADLEY J. BUTTERFIELD, NORTHERN ARIZONA UNIVERSITY, USA, CHAEHO BYUN, YONSEI UNIVERSITY, KOREA, MARINA C. SCALON, UFP, MARCO CACCIANIGA, UNIVERSITÀ DEGLI STUDI DI MILANO, ITALY, MARC CADOTTE, UNIVERSITY OF TORONTO SCARBOROUGH, CANADA, MAXIME CAILLERET, AIX?MARSEILLE UNIVERSITY, FRANCE, JAMES CAMAC, THE UNIVERSITY OF MELBOURNE, AUSTRALIA, JESÚS JULIO CAMARERO, INSTITUTO PIRENAICO DE ECOLOGÍA (IPE?CSIC), SPAIN, COURTNEY CAMPANY, COLGATE UNIVERSITY, USA, GIANDIEGO CAMPETELLA, UNIVERSITY OF CAMERINO, ITALY, JUAN ANTONIO CAMPOS, UNIVERSITY OF THE BASQUE COUNTRY UPV/EHU, SPAIN, LAURA CANO-ARBOLEDA, UNIVERSIDAD NACIONAL DE COLOMBIA, COLOMBIA, ROBERTO CANULLO, UNIVERSITY OF CAMERINO, ITALY, MICHELE CARBOGNANI, UNIVERSITY OF PARMA, ITALY, FABIO CARVALHO, LANCASTER UNIVERSITY, UK, BASTIEN CASTAGNEYROL, UNIV. BORDEAUX, FRANCE, JANE A. CATFORD, KING'S COLLEGE LONDON, UK, JEANNINE CAVENDER-BARES, UNIVERSITY OF MINNESOTA, USA, BRUNO E. L. CERABOLINI, UNIVERSITY OF INSUBRIA, ITALY, MARCO CERVELLINI, UNIVERSITY OF BOLOGNA, ITALY, EDUARDO CHACÓN-MADRIGAL, UNIVERSIDAD DE COSTA RICA, COSTA RICA, KENNETH CHAPIN, THE UNIVERSITY OF ARIZONA, USA, SAMANTHA DAWSON, SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES, AREND JACOBUS DE BEER, UNIVERSITY OF PRETORIA, SOUTH AFRICA, ANGEL DE FRUTOS, HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH, GERMANY, LEANDRO DUARTE, UFRGS, EMILIE DUCOURET, UMR ECOFOG (AGROPARISTECH, CNRS, INRA, UNIVERSITÉ DES ANTILLES, UNIVERSITÉ DE LA GUYANE), FRANCE, STEFAN DULLINGER, UNIVERSITY OF VIENNA, AUSTRIA, DAN F. B. FLYNN, ARNOLD ARBORETUM OF HARVARD UNIVERSITY, USA, VERONIKA FONTANA, INSTITUTE FOR ALPINE ENVIRONMENT, ITALY, KYONG-SOOK CHUNG, JUNGWON UNIVERSITY, KOREA, MILAN CHYTRÝ, MASARYK UNIVERSITY, CZECH REPUBLIC, DANIELA CICCARELLI, UNIVERSITY OF PISA, ITALY, LLUÍS COLL, UNIVERSITY OF LLEIDA, SPAIN, COURTNEY G. COLLINS, UNIVERSITY OF CALIFORNIA RIVERSIDE, USA, LUISA CONTI, UNIVERSITY OF LIFE SCIENCES PRAGUE, CZECH REPUBLIC, DAVID COOMES, UNIVERSITY OF CAMBRIDGE, UK, JOHANNES H. C. CORNELISSEN, VRIJE UNIVERSITEIT, THE NETHERLANDS, WILLIAM K. CORNWELL, EARTH AND ENVIRONMENTAL SCIENCES, AUSTRALIA, PIERMARIA CORONA, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, MARIE COYEA, UNIVERSITÉ LAVAL, CANADA, JOSEPH CRAINE, JONAH VENTURES, USA, DYLAN CRAVEN, UNIVERSIDAD MAYOR, CHILE, JORIS P. G. M. CROMSIGT, SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES, SWEDEN, ANIKÓ CSECSERITS, MTA CENTRE FOR ECOLOGICAL RESEARCH, HUNGARY, KATARINA CUFAR, UNIVERSITY OF LJUBLJANA, SLOVENIA, MATTHIAS CUNTZ, UNIVERSITÉ DE LORRAINE, FRANCE, ANA CAROLINA DA SILVA, SANTA CATARINA STATE UNIVERSITY, BRAZIL, KYLA M. DAHLIN, MICHIGAN STATE UNIVERSITY, USA, MATTEO DAINESE, INSTITUTE FOR ALPINE ENVIRONMENT, ITALY, IGOR DALKE, INSTITUTE OF BIOLOGY OF KOMI SCIENCE CENTRE OF THE URAL BRANCH OF THE RUSSIAN ACADEMY OF SCIENCES, RUSSIA, MICHELE DALLE FRATTE, UNIVERSITY OF INSUBRIA, ITALY, ANH TUAN DANG-LE, UNIVERSITY HO CHI MINH CITY, VIETNAM, JIRÍ DANIHELKA, MASARYK UNIVERSITY, CZECH REPUBLIC, MASAKO DANNOURA, KYOTO UNIVERSITY, JAPAN, JONATHAN R. DE LONG, NETHERLANDS INSTITUTE OF ECOLOGY, THE NETHERLANDS, BENJAMIN DECHANT, SEOUL NATIONAL UNIVERSITY, REPUBLIC OF KOREA, SYLVAIN DELAGRANGE, INSTITUTE OF TEMPERATE FOREST SCIENCES (ISFORT), CANADA, NICOLAS DELPIERRE, UNIVERSITY OF PARIS?SUD, FRANCE, GÉRALDINE DERROIRE, UNIVERSITÉ DES ANTILLES, FRANCE, ARILDO S. DIAS, UNIVERSITÄT FRANKFURT, GERMANY, MILTON HUGO DIAZ-TORIBIO, UNIVERSITY OF FLORIDA, USA, PANAYIOTIS G. DIMITRAKOPOULOS, UNIVERSITY OF THE AEGEAN, GREECE, MARK DOBROWOLSKI, THE UNIVERSITY OF WESTERN AUSTRALIA, AUSTRALIA, DANIEL DOKTOR, HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH – UFZ, GERMANY, PAVEL DREVOJAN, MASARYK UNIVERSITY, CZECH REPUBLIC, NING DONG, MACQUARIE UNIVERSITY, AUSTRALIA, JOHN DRANSFIELD, ROYAL BOTANIC GARDENS KEW, UK, STEFAN DRESSLER, DEPARTMENT OF BOTANY AND MOLECULAR EVOLUTION, GERMANY, WALTER DURKA, GERMAN CENTER FOR INTEGRATIVE BIODIVERSITY RESEARCH (IDIV) HALLE?JENA?LEIPZIG, GERMANY, REMKO DUURSMA, WESTERN SYDNEY UNIVERSITY, AUSTRALIA, OLGA DYMOVA, KOMI REPUBLIC, RUSSIA, E-VOJTKÓ, A., UNIVERSITY OF SOUTH BOHEMIA, CZECH REPUBLIC, ROLF LUTZ ECKSTEIN, KARLSTAD UNIVERSITY, SWEDEN, HAMID EJTEHADI, FERDOWSI UNIVERSITY OF MASHHAD, IRAN, JAMES ELSER, UNIVERSITY OF MONTANA, USA, THAISE EMILIO, UNIVERSITY OF CAMPINAS UNICAMP, BRAZIL, KRISTINE ENGEMANN, AARHUS UNIVERSITY, DENMARK, MOHAMMAD BAGHER ERFANIAN, FERDOWSI UNIVERSITY OF MASHHAD, IRAN, ALEXANDRA ERFMEIER, KIEL UNIVERSITY, KIEL, GERMANY, ADRIANE ESQUIVEL-MUELBERT, EARTH AND ENVIRONMENTAL SCIENCES, AUSTRALIA, GERD ESSER, JUSTUS LIEBIG UNIVERSITY, GERMANY, MARC ESTIARTE, SPANISH NATIONAL RESEARCH COUNCIL – CSIC, SPAIN, TOMAS F. DOMINGUES, DEPARTMENT OF BIOLOGY – FFCLRP/USP, BRAZIL, WILLIAM F. FAGAN, UNIVERSITY OF MARYLAND, USA, JAIME FAGÚNDEZ, UNIVERSITY OF A CORUÑA, SPAIN, DANIEL S. FALSTER, EVOLUTION & ECOLOGY RESEARCH CENTRE, AUSTRALIA, YING FAN, RUTGERS UNIVERSITY, USA, JINGYUN FANG, PEKING UNIVERSITY, CHINA, EMMANUELE FARRIS, UNIVERSITY OF SASSARI, ITALY, FATIH FAZLIOGLU, ORDU UNIVERSITY, TURKEY, YANHAO FENG, LANZHOU UNIVERSITY, CHINA, FERNANDO FERNANDEZ-MENDEZ, UNIVERSIDAD DEL TOLIMA, COLOMBIA, CARLOTTA FERRARA, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, JOICE NUNES FERREIRA, CPATU, ALESSANDRA FIDELIS, (UNESP), RIO CLARO, BRAZIL, BRYAN FINEGAN, CATIE-CENTRO AGRONÓMICO TROPICAL DE INVESTIGACIÓN Y ENSEÑANZA, COSTA RICA, JENNIFER FIRN, QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT), AUSTRALIA, TIMOTHY J. FLOWERS, UNIVERSITY OF SUSSEX, UK, ESTELLE FOREY, UNIVERSITÉ DE ROUEN, FRANCE, CRISTIANE FORGIARINI, UFRGS, BRAZIL., LOUIS FRANÇOIS, UNIVERSITY OF LIÈGE, BELGIUM., MARCELO FRANGIPANI, UFRGS, BRAZIL, DOROTHEA FRANK, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, CEDRIC FRENETTE-DUSSAULT, GÉOPOLE DE L'UNIVERSITÉ DE SHERBROOKE, CANADA, GRÉGOIRE T. FRESCHET, PAUL SABATIER UNIVERSITY TOULOUSE, FRANCE, PAUL LEADLEY, UNIVERSITY OF PARIS-SUD, UNIVERSITÉ PARIS-SACLAY, ORSAY, FRANCE, IZABELA ALEIXO, NATIONAL INSTITUTE OF AMAZONIAN RESEARCH (INPA), BRAZIL, SANDRA DÍAZ, UNIVERSIDAD NACIONAL DE CÓRDOBA, ARGENTINA, SANDRA LAVOREL, UNIV. SAVOIE MONT BLANC, LECA, GRENOBLE, FRANCE, IAIN COLIN PRENTICE, IMPERIAL COLLEGE, UK., CAROLYN ANDERSON, UNIVERSITY OF MASSACHUSETTS AMHERST, USA, NIELS ANTEN, WAGENINGEN UNIVERSITY, THE NETHERLANDS, JOSEPH ANTOS, UNIVERSITY OF VICTORIA, CANADA, DEBORAH MATTOS GUIMARÃES APGAUA, JAMES COOK UNIVERSITY, AUSTRALIA, TIA-LYNN ASHMAN, UNIVERSITY OF PITTSBURGH, USA, DEGI HARJA ASMARA, UNIVERSITÉ LAVAL, CANADA, GREGORY P. ASNER, ARIZONA STATE UNIVERSITY, USA., MICHAEL ASPINWALL, UNIVERSITY OF NORTH FLORIDA, USA., OWEN ATKIN, AUSTRALIAN NATIONAL UNIVERSITY, AUSTRALIA., ISABELLE AUBIN, NATURAL RESOURCES CANADA, LARS BAASTRUP-SPOHR, UNIVERSITY OF COPENHAGEN, DENMARK., KHADIJEH BAHALKEH, TARBIAT MODARES UNIVERSITY, IRAN., MICHAEL BAHN, UNIVERSITY OF INNSBRUCK, AUSTRIA., TIMOTHY BAKER, UNIVERSITY OF LEEDS, LEEDS, UK., WILLIAM J. BAKER, ROYAL BOTANIC GARDENS KEW, UK., JAN P. BAKKER, UNIVERSITY OF GRONINGEN, THE NETHERLANDS., DENNIS BALDOCCHI, UNIVERSITY OF CALIFORNIA BERKELEY, USA., JENNIFER BALTZER, WILFRID LAURIER UNIVERSITY, CANADA, ARINDAM BANERJEE, UNIVERSITY OF MINNESOTA, USA., ANNE BARANGER, AGROPARISTECH, FRANCE., JOS BARLOW, LANCASTER UNIVERSITY, UK., DIEGO R. BARNECHE, UNIVERSITY OF EXETER, UK., ZDRAVKO BARUCH, THE UNIVERSITY OF ADELAIDE, AUSTRALIA., DENIS BASTIANELLI, UNIV MONTPELLIER, FRANCE., JOHN BATTLES, UNIVERSITY OF CALIFORNIA AT BERKELEY, USA, WILLIAM BAUERLE, COLORADO STATE UNIVERSITY, USA, SOLVEIG FRANZISKA BUCHER, FRIEDRICH?SCHILLER?UNIVERSITÄT JENA, GERMANY, GAVIN BELFRY, UNIVERSITY OF TENNESSEE, USA., MICHAEL BELLUAU, UNIVERSITÉ DU QUÉBEC À MONTRÉAL, CANADA., MIRELA BELOIU, UNIVERSITY OF BAYREUTH, GERMANY., RAQUEL BENAVIDES, MUSEO NACIONAL DE CIENCIAS NATURALES-CSIC, SPAIN., LAHCEN BENOMAR, UNIVERSITÉ LAVAL, CANADA., MARY LEE BERDUGO-LATTKE, UNIVERSIDAD NACIONAL DE COLOMBIA, COLOMBIA., ERIKA BERENGUER, UNIVERSITY OF OXFORD, UK., RODRIGO BERGAMIN, UFRS, NINA BUCHMANN, ETH ZURICH, ZURICH, SWITZERLAND, ANNE D. BJORKMAN, UNIVERSITY OF GOTHENBURG, SWEDEN., CHRIS BLACKMAN, UNIVERSITÉ CLERMONT-AUVERGNE, FRANCE., CAROLINA BLANCO, UFRGS, BENJAMIN BLONDER, ARIZONA STATE UNIVERSITY, USA., DANA BLUMENTHAL, USDA-ARS RANGELAND RESOURCES & SYSTEMS RESEARCH UNIT, USA., KELLY T. BOCANEGRA-GONZÁLEZ, UNIVERSIDAD DEL TOLIMA, COLOMBIA., PASCAL BOECKX, GHENT UNIVERSITY, BELGIUM., STEPHANIE BOHLMAN, UNIVERSITY OF FLORIDA, USA., KATRIN BÖHNING-GAESE, UNIVERSITÄT FRANKFURT, GERMANY., LAURA BOISVERT-MARSH, UNIVERSITÄT FRANKFURT, GERMANY., WILLIAM BOND, UNIVERSITY OF CAPE TOWN, SOUTH AFRICA., BEN BOND-LAMBERTY, COLLEGE PARK, USA., ARNOUD BOOM, UNIVERSITY OF LEICESTER, UK., COLINE C. F. BOONMAN, RADBOUD UNIVERSITY, THE NETHERLANDS., KAUANE BORDIN, UFRGS, ELIZABETH H. BOUGHTON, ARCHBOLD BIOLOGICAL STATION'S BUCK ISLAND RANCH, USA., VANESSA BOUKILI, UNIVERSITY OF CONNECTICUT, USA, DAVID M. J. S. BOWMAN, UNIVERSITY OF TASMANIA, AUSTRALIA., SANDRA BRAVO, UNIVERSIDAD NACIONAL DE SANTIAGO DEL ESTERO, MARCO RICHARD BRENDEL, UNIVERSITY OF HOHENHEIM, MARTIN R. BROADLEY, UNIVERSITY OF NOTTINGHAM, UK, KERRY A. BROWN, KINGSTON UNIVERSITY, UK., HELGE BRUELHEIDE, MARTIN LUTHER UNIVERSITY HALLE?WITTENBERG, GERMANY, FERNANDO CASANOVES, CATIE-CENTRO AGRONÓMICO TROPICAL DE INVESTIGACIÓN Y ENSEÑANZA, COSTA RICA, F. STUART CHAPIN, UNIVERSITY OF ALASKA FAIRBANKS, USA, STEFANO CHELLI, UNIVERSITY OF CAMERINO, ITALY, SI?CHONG CHEN, ROYAL BOTANIC GARDENS, UK, ANPING CHEN, COLORADO STATE UNIVERSITY, USA, PAOLO CHERUBINI, UNIVERSITY OF BRITISH COLUMBIA, CANADA, FRANCESCO CHIANUCCI, CREA – RESEARCH CENTRE FOR FORESTRY AND WOOD, ITALY, BRENDAN CHOAT, WESTERN SYDNEY UNIVERSITY, AUSTRALIA, GUILHERME G. MAZZOCHINI, UNIVERSITY OF CAMPINAS, CAMPINAS, BRAZIL, SOPHIE GACHET, UNIV AVIGNON, FRANCE, RACHAEL GALLAGHER, MACQUARIE UNIVERSITY, AUSTRALIA, GISLENE GANADE, UFRN, BRAZIL., MARY-CLAIRE GLASENHARDT, THE MORTON ARBORETUM, USA, ALAIN HAMBUCKERS, UNIVERSITY OF LIÈGE, BELGIUM, MASAE ISHIHARA, KYOTO UNIVERSITY, JAPAN, LEONID IVANOV, TYUMEN STATE UNIVERSITY, RUSSIA, LARISSA IVANOVA, TYUMEN STATE UNIVERSITY, RUSSIA., COLLEEN M. IVERSEN, OAK RIDGE NATIONAL LABORATORY, USA, JORDI IZQUIERDO, Universitat Politècnica de Catalunya, Spain, ROBERT B. JACKSON, STANFORD UNIVERSITY, USA, FRANCESCA GANGA, UNIVERSITY OF CAGLIARI, ITALY, PABLO GARCÍA-PALACIOS, UNIVERSIDAD REY JUAN CARLOS, SPAIN, VERÓNICA GARGAGLIONE, UNIVERSIDAD NACIONAL DE LA PATAGONIA AUSTRAL, ARGENTINA, ERIC GARNIER, UNIV. MONTPELLIER, FRANCE, JOSE LUIS GARRIDO, ESTACIÓN EXPERIMENTAL DEL ZAIDÍN, SPAIN, ANDRÉ LUÍS DE GASPER, UNIVERSIDADE REGIONAL DE BLUMENAU, BRAZIL, GUILLERMO GEAIZQUIERDO, INIA?CIFOR, SPAIN, DAVID GIBSON, SOUTHERN ILLINOIS UNIVERSITY CARBONDALE, USA, ANDREW N. GILLISON, CENTER FOR BIODIVERSITY MANAGEMENT, AUSTRALIA, AELTON GIROLDO, INSTITUTO FEDERAL DE EDUCAÇÃO CIÊNCIA E TECNOLOGIA DO CEARÁ, BRAZIL, SEAN GLEASON, WATER MANAGEMENT AND SYSTEMS RESEARCH UNIT, USA, MARIANA GLIESCH, INSTITUTE OF INTEGRATIVE BIOLOGY, SWITZERLAND, EMMA GOLDBERG, UNIVERSITY OF MINNESOTA, USA, BASTIAN GÖLDEL, AARHUS UNIVERSITY, DENMARK, ERIKA GONZALEZ-AKRE, NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY NTNU, NORWAY, JOSE L. GONZALEZ-ANDUJAR, CSIC-INSTITUTE FOR SUSTAINABLE AGRICULTURE (IAS), SPAIN, ANDRÉS GONZÁLEZ-MELO, UNIVERSIDAD DEL ROSARIO, COLOMBIA, ANA GONZÁLEZ-ROBLES, UNIVERSIDAD DE JAÉN, SPAIN, BENTE JESSEN GRAAE, NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY NTNU, NORWAY, ELENA GRANDA, UNIVERSITY OF ALCALÁ, SPAIN, SARAH GRAVES, UNIVERSITY OF FLORIDA, USA, WALTON A. GREEN, HARVARD UNIVERSITY, USA, THOMAS GREGOR, SENCKENBERG RESEARCH INSTITUTE AND NATURAL HISTORY MUSEUM, GERMANY, NICOLAS GROSS, UNIVERSIDAD REY JUAN CARLOS, SPAIN, GREG R. GUERIN, THE UNIVERSITY OF ADELAIDE, AUSTRALIA, ANGELA GÜNTHER, MAX PLANCK INSTITUTE FOR BIOGEOCHEMISTRY, GERMANY, ALVARO G. GUTIÉRREZ, UNIVERSIDAD DE CHILE, CHILE, LILLIE HADDOCK, COLLEGE PARK, USA, ANNA HAINES, THE UNIVERSITY OF MANCHESTER, UK, JEFFERSON HALL, SMITHSONIAN TROPICAL RESEARCH INSTITUTE, REPUBLIC OF PANAMA, WENXUAN HAN, CHINA AGRICULTURAL UNIVERSITY, CHINA, SANDY P. HARRISON, UNIVERSITY OF READING, UK, WESLEY HATTINGH, UNIVERSITY OF THE WITWATERSRAND, SOUTH AFRICA, JOSEPH E. HAWES, ANGLIA RUSKIN UNIVERSITY, UK, TIANHUA HE, CURTIN UNIVERSITY, AUSTRALIA, PENGCHENG HE, CHINESE ACADEMY OF SCIENCES, CHINA, JACOB MASON HEBERLING, CARNEGIE MUSEUM OF NATURAL HISTORY, USA, AVELIINA HELM, UNIVERSITY OF TARTU, ESTONIA, STEFAN HEMPEL, FREIE UNIVERSITÄT BERLIN, GERMANY, JÖRN HENTSCHEL, FRIEDRICH-SCHILLER-UNIVERSITÄT JENA, GERMANY, BRUNO HÉRAULT, UNIVERSITÉ DE MONTPELLIER, FRANCE, ANA-MARIA HERE, TRANSILVANIA UNIVERSITY OF BRASOV, ROMANIA, KATHARINA HERZ, MARTIN LUTHER UNIVERSITY HALLE?WITTENBERG, GERMANY, MYRIAM HEUERTZ, UNIV. BORDEAUX, FRANCE, THOMAS HICKLER, GOETHE UNIVERSITY, GERMANY, PETER HIETZ, UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES, AUSTRIA, PEDRO HIGUCHI, SANTA CATARINA STATE UNIVERSITY, BRAZIL, ANDREW L. HIPP, THE MORTON ARBORETUM, USA, ANDREW HIRONS, UNIVERSITY CENTRE MYERSCOUGH, UK, MARIA HOCK, INSTITUTE FOR ECOSYSTEM RESEARCH/GEOBOTANY, GERMANY, JAMES AARON HOGAN, FLORIDA INTERNATIONAL UNIVERSITY, USA, KAREN HOLL, UNIVERSITY OF CALIFORNIA, USA, OLIVIER HONNAY, PLANT CONSERVATION AND POPULATION BIOLOGY, BELGIUM, KNUT ANDERS HOVSTAD, DEPARTMENT OF LANDSCAPE AND BIODIVERSITY, NORWAY, TOMOAKI ICHIE, KOCHI UNIVERSITY, JAPAN, BORIS IGIC, UNIVERSITY OF ILLINOIS AT CHICAGO, USA, ESTELA ILLA, UNIVERSITAT DE BARCELONA, SPAIN, MARNEY ISAAC, UNIVERSITY OF TORONTO, CANADA, BENJAMIN JACKSON, UNIVERSITY OF EDINBURGH, SCOTLAND, HERVÉ JACTEL, UNIV. BORDEAUX, FRANCE, ANDRZEJ M. JAGODZINSKI, UNIVERSITY OF LIFE SCIENCES, POLAND, UTE JANDT, MARTIN LUTHER UNIVERSITY HALLE-WITTENBERG, GERMANY, STEVEN JANSEN, ULM UNIVERSITY, GERMANY, THOMAS, University of Oxford [Oxford], University of Helsinki, Tarbiat Modaras University, Roma Tre University, Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Centre for Biodiversity and Sustainable Land-use, University of Göttingen, Göttingen, Germany, Department of Biology, University of North Florida, Jacksonville, FL, USA, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Department of Range Management, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran, University of Innsbruck, School of Geography, University of Leeds, Leeds, UK, Centre for Ecology and Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, UK., School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), University of California at Berkeley, Berkeley, CA, USA, Department of Green Chemistry and Technology, Ghent University, Gent, Belgium, Department of Environment, Ghent University, Gent, Belgium, Department of Life and Environmental Sciences, Botany Division, University of Cagliari, Cagliari, Italy, Museo Nacional de Ciencias Naturales-CSIC, Madrid, Spain, Environmental Change Institute, University of Oxford, Oxford, UK, Institut für Biologie, Freie Universität Berlin, Berlin, Germany, Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, Universiteit Gent = Ghent University [Belgium] (UGENT), School of Geography, Geology and Environment, University of Leicester, Leicester, UK, Institute of Landscape and Plant Ecology, University of Hohenheim, Stuttgart, Germany, Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena- Leipzig, Leipzig, Germany, University of Toronto [Scarborough, Canada], Faculty of Agricultural and Environmental Sciences, University of Rostock, Rostock, Germany, Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy, Department of Plant Biology and Ecology, University of the Basque Country UPV/ EHU, Bilbao, Spain, Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy, BIGEA, Department of Biological, Geological and Environmental Sciences, Alma Mater Studiorum – University of Bologna, Bologna, Italy, Escuela de Biología, Universidad de Costa Rica, San José, Costa Rica, The University of Arizona, Tucson, AZ, USA, University of Alaska [Anchorage], Royal Botanic Gardens, Kew, Department of Biology, University of Pisa, Pisa, Italy, Department of Plant Sciences, University of Cambridge, Cambridge, UK, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia, Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL)-AgroParisTech, Department of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa, Department of Landscape Architecture and Rural Systems Engineering, Seoul National University, Seoul, Republic of Korea, Department of Botany and Biodiversity Research, University of Vienna, Department of Environmental and Life Sciences – Biology, Karlstad University, Quantitative Plant Ecology and Biodiversity Research Laboratory, Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Justus Liebig University, Justus-Liebig-Universität Gießen (JLU), University of Sassari, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Universidade de São Paulo (USP), Harvard University [Cambridge], Federal University of Rio Grande do Sul, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), University of Campinas [Campinas] (UNICAMP), University of Cagliari, Universidad de Chile, University of Natural Resources and Life Sciences (BOKU), University of California, Norwegian Institute of Bioeconomy Research (NIBIO), Kyoto University [Kyoto], Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), University of Copenhagen = Københavns Universitet (KU), University of Venda, Philipps University of Marburg, Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, State University of New York, Stonybrook, IT University of Copenhagen, Smithsonian Environmental Research Center, Humboldt University of Berlin, Georg-August-University [Göttingen], Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Nelson Mandela Metropolitan University [Port Elizabeth, South Africa], Netherlands Centre for Biodiversity Naturalis, University of Leipzig [Leipzig, Allemagne], Unité d'Agronomie, University of Debrecen-Research Centre for Molecular Medicine-Medical and Health Science Centre, Global Change Research Institute, University of California [Berkeley], Natural resources institute Finland, Universita degli Studi di Cagliari [Cagliari], Tel Aviv University [Tel Aviv], Oklahoma State University [Stillwater], Kyoto University [Kyoto]-Kyoto University [Kyoto], Universidade Estadual de Campinas (UNICAMP), Universidad Nacional Autónoma de México (UNAM), Vrije universiteit = Free university of Amsterdam [Amsterdam] (VU), Universidad Autonoma de Madrid (UAM), University of Parma = Università degli studi di Parma [Parme, Italie], University of Milan, Forschungszentrum Juelich, Université Nice Sophia Antipolis (... - 2019) (UNS), U.S. Department of Energy [Washington] (DOE)-UT-Battelle, LLC-Stony Brook University [SUNY] (SBU), State University of New York (SUNY)-State University of New York (SUNY), University of Extremadura, University of Göttingen - Georg-August-Universität Göttingen, Universidade de Lisboa (ULISBOA), Federal University of Lavras, Universita degli Studi di Padova, Leiden University, University of California [Riverside] (UCR), Ferdowsi University of Mashhad, Museo Nacional de Ciencias Naturales (MNCN), Departments of Botany and Zoology, Federal University of Para - Universidade Federal do Para [Belem - Brésil], Institut National de la Recherche Agronomique (INRA)-Université d'Orléans (UO), Institut national polytechnique Félix Houphouët-Boigny, Universität Leipzig [Leipzig], Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne (UCA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA), Consejo Nacional de Investigaciones Científicas y Técnicas, Instituto Multidisciplinario de Biología Vegetal (IMBIV), and Factulad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Córdoba, Argentina, Laboratoire d'Ecologie Alpine (LECA), Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Imperial College London, London SW7 2AZ, UK., Department of Zoology, University of Oxford, Oxford, UK, Balliol College, University of Oxford, Oxford, UK, University of Roma Tre, Rome, Italy, Biodiversity Conservation Laboratory, Department of Environment, University of the Aegean, Mytilene, Greece, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland, Tartu Observatory, University of Tartu, Tartumaa, Estonia, Graduate School of Life Sciences, Tohoku University, Sendai, Japan, Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UMR237-Aix Marseille Université (AMU)-Avignon Université (AU), Universidad de Jaén, Jaén, Spain, UMR Nancy-Université- INRA Agronomie et Environnement Nancy-Colmar, Nancy Université, Conicet-Consejo Nacional de Investigaciones Científicas y Técnicas, Buenos Aires, Argentina, Environmental Sciences, Guelph, University of Massachusetts Amherst, Amherst, MA, USA, Wageningen University and Research Center (WUR), University of Victoria, Victoria, BC, Canada, Department of Ecology, University of Innsbruck, Innsbruck, Austria, Department of Biological Sciences-Lancaster University, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Helmholtz Centre for Environmental Research (UFZ), School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA, Université Clermont Auvergne (UCA)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Universiteit Gent [Ghent], School of Forest Resources and Conservation, University of Florida, Gainesville, FL, USA, University of Tasmania, Hobart, Tas., Australia, AMAP, IRD, Herbier de Nouvelle-Calédonie, Nouméa, New Caledonia, Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Friedrich-Schiller-Universität Jena, Jena, Germany, Università degli Studi di Roma 'La Sapienza' [Rome], wiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland, Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Tropical Agricultural Centre for Research and Higher Education (CATIE), Tropical Agricultural Centre for Research and Higher Education, Univ. Bordeaux, INRAE, BIOGECO, Cestas, France, Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, MN, USA, Royal Botanic Gardens, Kew, West Sussex, UK, Department of Biology, Colorado State University, Fort Collins, CO, USA, Hawkesbury Institute for the Environment, Western Sydney University, Sydney, NSW, Australia, Department of Botany and Zoology, Masaryk University, Brno, Czech Republic, Faculty of Environmental Sciences, University of Life Sciences Prague, Praha-Suchdol, Czech Republic, Institute of Botany, Czech Academy of Sciences, Třeboň, Czech Republic, Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden, MTA Centre for Ecological Research, Tihany, Hungary, Swedish Species Information Centre, Swedish University of Agricultural Sciences, Uppsala, Sweden, Université des Antilles (UA)-Centre National de la Recherche Scientifique (CNRS)-Université de Guyane (UG)-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), University of Florida [Gainesville], UFZ - Helmholtz Centre for Environmental Research, School of Geography, Earth and Environmental Sciences – University of Birmingham, Universitat Autònoma de Barcelona [Barcelona] (UAB), University of Ordu, Council for Agricultural Research and Economics (CREA), Université de Sherbrooke [Sherbrooke], Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), United States Department of Agriculture - USDA (USA), Smithsonian Institution, Carnegie Museum of Natural History, Friedrich-Schiller-Universität Jena, Biodiversité, Gènes et Communautés, Goethe-Universität Frankfurt am Main-Senckenberg Gesellschaft für Naturforschung, University of Natural Resources and Applied Life Sciences (BOKU), Florida International University (FIU), Université Catholique de Louvain (UCL), Stanford University [Stanford], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), University of Tasmania (UTAS), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), Charles University [Prague], Ghent University [Belgium] (UGENT), Helmholtz Zentrum für Umweltforschung (UFZ), Hokkaido University, Technical University of Munich (TUM), Wageningen University and Research Centre [Wageningen] (WUR), Georg-August-Universität Göttingen, Western Sydney University (UWS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada, Université de Sherbrooke, Masaryk University, Czech Academy of Sciences [Prague] (ASCR), Natural Resources Institute Finland, Landcare Research [Lincoln], Université de Montréal [Montréal], Université Libre de Bruxelles [Bruxelles] (ULB), Centre National de la Recherche Scientifique (CNRS)-Ministère de l'Europe et des Affaires étrangères (MEAE), French Institute of Pondicherry (IFP), Normal Zhejiang University, Estonian University of Life Sciences, Institute of Biology Bucharest, Romanian Academy, VU University Amsterdam, Astronomical Institute of the Czech Academy of Sciences, Technische Universität München [München] (TUM), University of Parma, Cardiff School of Social Sciences, University of Cardiff, University of Minnesota [Twin Cities], Manaaki Whenua Landcare Research, Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Brookhaven National Laboratory [Upton] (BNL), Stony Brook University [SUNY] (SBU), University of Zürich [Zürich] (UZH), Algoma University [Canada], University of Goettingen, University of Wuerzburg, University of Würzburg, AFSSA, Sherbrooke University, University of Lisbon, Department of Biology (University of Florida), Florida Museum of Natural History, Technical University in Zvolen, University of Zvolen, Fac Forestry & Wood Sci, Université du Québec à Montréal (UQAM), Bioversity International, Consultative Group on International Agricultural Research [CGIAR], Université Clermont Auvergne (UCA), Vrije Universiteit [Brussels] (VUB), University of Tsukuba, Kattge, Jen, Bönisch, Gerhard, Díaz, Sandra, Lavorel, Sandra, Prentice, Iain Colin, Leadley, Paul, Tautenhahn, Susanne, Werner, Gijsbert D A, Aakala, Tuoma, Abedi, Mehdi, Acosta, Alicia Teresa Rosario, Adamidis, George C, Adamson, Kairi, Aiba, Masahiro, Albert, Cécile H, Alcántara, Julio M, Alcázar C, Carolina, Aleixo, Izabela, Ali, Hamada, Amiaud, Bernard, Ammer, Christian, Amoroso, Mariano M, Anand, Madhur, Anderson, Carolyn, Anten, Niel, Antos, Joseph, Apgaua, Deborah Mattos Guimarãe, Ashman, Tia-Lynn, Asmara, Degi Harja, Asner, Gregory P, Aspinwall, Michael, Atkin, Owen, Aubin, Isabelle, Baastrup-Spohr, Lar, Bahalkeh, Khadijeh, Bahn, Michael, Baker, Timothy, Baker, William J, Bakker, Jan P, Baldocchi, Denni, Baltzer, Jennifer, Banerjee, Arindam, Baranger, Anne, Barlow, Jo, Barneche, Diego R, Baruch, Zdravko, Bastianelli, Deni, Battles, John, Bauerle, William, Bauters, Marijn, Bazzato, Erika, Beckmann, Michael, Beeckman, Han, Beierkuhnlein, Carl, Bekker, Renee, Belfry, Gavin, Belluau, Michael, Beloiu, Mirela, Benavides, Raquel, Benomar, Lahcen, Berdugo-Lattke, Mary Lee, Berenguer, Erika, Bergamin, Rodrigo, Bergmann, Joana, Bergmann Carlucci, Marco, Berner, Logan, Bernhardt-Römermann, Marku, Bigler, Christof, Bjorkman, Anne D, Blackman, Chri, Blanco, Carolina, Blonder, Benjamin, Blumenthal, Dana, Bocanegra-González, Kelly T, Boeckx, Pascal, Bohlman, Stephanie, Böhning-Gaese, Katrin, Boisvert-Marsh, Laura, Bond, William, Bond-Lamberty, Ben, Boom, Arnoud, Boonman, Coline C F, Bordin, Kauane, Boughton, Elizabeth H, Boukili, Vanessa, Bowman, David M J S, Bravo, Sandra, Brendel, Marco Richard, Broadley, Martin R, Brown, Kerry A, Bruelheide, Helge, Brumnich, Federico, Bruun, Hans Henrik, Bruy, David, Buchanan, Serra W, Bucher, Solveig Franziska, Buchmann, Nina, Buitenwerf, Robert, Bunker, Daniel E, Bürger, Jana, Burrascano, Sabina, Burslem, David F R P, Butterfield, Bradley J, Byun, Chaeho, Marques, Marcia, Scalon, Marina C, Caccianiga, Marco, Cadotte, Marc, Cailleret, Maxime, Camac, Jame, Camarero, Jesús Julio, Campany, Courtney, Campetella, Giandiego, Campos, Juan Antonio, Cano-Arboleda, Laura, Canullo, Roberto, Carbognani, Michele, Carvalho, Fabio, Casanoves, Fernando, Castagneyrol, Bastien, Catford, Jane A, Cavender-Bares, Jeannine, Cerabolini, Bruno E L, Cervellini, Marco, Chacón-Madrigal, Eduardo, Chapin, Kenneth, Chapin, F Stuart, Chelli, Stefano, Chen, Si-Chong, Chen, Anping, Cherubini, Paolo, Chianucci, Francesco, Choat, Brendan, Chung, Kyong-Sook, Chytrý, Milan, Ciccarelli, Daniela, Coll, Lluí, Collins, Courtney G, Conti, Luisa, Coomes, David, Cornelissen, Johannes H C, Cornwell, William K, Corona, Piermaria, Coyea, Marie, Craine, Joseph, Craven, Dylan, Cromsigt, Joris P G M, Csecserits, Anikó, Cufar, Katarina, Cuntz, Matthia, da Silva, Ana Carolina, Dahlin, Kyla M, Dainese, Matteo, Dalke, Igor, Dalle Fratte, Michele, Dang-Le, Anh Tuan, Danihelka, Jirí, Dannoura, Masako, Dawson, Samantha, de Beer, Arend Jacobu, De Frutos, Angel, De Long, Jonathan R, Dechant, Benjamin, Delagrange, Sylvain, Delpierre, Nicola, Derroire, Géraldine, Dias, Arildo S, Diaz-Toribio, Milton Hugo, Dimitrakopoulos, Panayiotis G, Dobrowolski, Mark, Doktor, Daniel, Dřevojan, Pavel, Dong, Ning, Dransfield, John, Dressler, Stefan, Duarte, Leandro, Ducouret, Emilie, Dullinger, Stefan, Durka, Walter, Duursma, Remko, Dymova, Olga, E-Vojtkó, Anna, Eckstein, Rolf Lutz, Ejtehadi, Hamid, Elser, Jame, Emilio, Thaise, Engemann, Kristine, Erfanian, Mohammad Bagher, Erfmeier, Alexandra, Esquivel-Muelbert, Adriane, Esser, Gerd, Estiarte, Marc, Domingues, Tomas F, Fagan, William F, Fagúndez, Jaime, Falster, Daniel S, Fan, Ying, Fang, Jingyun, Farris, Emmanuele, Fazlioglu, Fatih, Feng, Yanhao, Fernandez-Mendez, Fernando, Ferrara, Carlotta, Ferreira, Joice, Fidelis, Alessandra, Finegan, Bryan, Firn, Jennifer, Flowers, Timothy J, Flynn, Dan F B, Fontana, Veronika, Forey, Estelle, Forgiarini, Cristiane, François, Loui, Frangipani, Marcelo, Frank, Dorothea, Frenette-Dussault, Cedric, Freschet, Grégoire T, Fry, Ellen L, Fyllas, Nikolaos M, Mazzochini, Guilherme G, Gachet, Sophie, Gallagher, Rachael, Ganade, Gislene, Ganga, Francesca, García-Palacios, Pablo, Gargaglione, Verónica, Garnier, Eric, Garrido, Jose Lui, de Gasper, André Luí, Gea-Izquierdo, Guillermo, Gibson, David, Gillison, Andrew N, Giroldo, Aelton, Glasenhardt, Mary-Claire, Gleason, Sean, Gliesch, Mariana, Goldberg, Emma, Göldel, Bastian, Gonzalez-Akre, Erika, Gonzalez-Andujar, Jose L, González-Melo, André, González-Robles, Ana, Graae, Bente Jessen, Granda, Elena, Graves, Sarah, Green, Walton A, Gregor, Thoma, Gross, Nicola, Guerin, Greg R, Günther, Angela, Gutiérrez, Alvaro G, Haddock, Lillie, Haines, Anna, Hall, Jefferson, Hambuckers, Alain, Han, Wenxuan, Harrison, Sandy P, Hattingh, Wesley, Hawes, Joseph E, He, Tianhua, He, Pengcheng, Heberling, Jacob Mason, Helm, Aveliina, Hempel, Stefan, Hentschel, Jörn, Hérault, Bruno, Hereş, Ana-Maria, Herz, Katharina, Heuertz, Myriam, Hickler, Thoma, Hietz, Peter, Higuchi, Pedro, Hipp, Andrew L, Hirons, Andrew, Hock, Maria, Hogan, James Aaron, Holl, Karen, Honnay, Olivier, Hornstein, Daniel, Hou, Enqing, Hough-Snee, Nate, Hovstad, Knut Ander, Ichie, Tomoaki, Igić, Bori, Illa, Estela, Isaac, Marney, Ishihara, Masae, Ivanov, Leonid, Ivanova, Larissa, Iversen, Colleen M, Izquierdo, Jordi, Jackson, Robert B, Jackson, Benjamin, Jactel, Hervé, Jagodzinski, Andrzej M, Jandt, Ute, Jansen, Steven, Jenkins, Thoma, Jentsch, Anke, Jespersen, Jens Rasmus Plantener, Jiang, Guo-Feng, Johansen, Jesper Liengaard, Johnson, David, Jokela, Eric J, Joly, Carlos Alfredo, Jordan, Gregory J, Joseph, Grant Stuart, Junaedi, Decky, Junker, Robert R, Justes, Eric, Kabzems, Richard, Kane, Jeffrey, Kaplan, Zdenek, Kattenborn, Teja, Kavelenova, Lyudmila, Kearsley, Elizabeth, Kempel, Anne, Kenzo, Tanaka, Kerkhoff, Andrew, Khalil, Mohammed I, Kinlock, Nicole L, Kissling, Wilm Daniel, Kitajima, Kaoru, Kitzberger, Thoma, Kjøller, Rasmu, Klein, Tamir, Kleyer, Michael, Klimešová, Jitka, Klipel, Joice, Kloeppel, Brian, Klotz, Stefan, Knops, Johannes M H, Kohyama, Takashi, Koike, Fumito, Kollmann, Johanne, Komac, Benjamin, Komatsu, Kimberly, König, Christian, Kraft, Nathan J B, Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kumarathunge, Dushan, Kuppler, Jona, Kurokawa, Hiroko, Kurosawa, Yoko, Kuyah, Shem, Laclau, Jean-Paul, Lafleur, Benoit, Lallai, Erik, Lamb, Eric, Lamprecht, Andrea, Larkin, Daniel J, Laughlin, Daniel, Le Bagousse-Pinguet, Yoann, le Maire, Guerric, le Roux, Peter C, le Roux, Elizabeth, Lee, Tali, Lens, Frederic, Lewis, Simon L, Lhotsky, Barbara, Li, Yuanzhi, Li, Xine, Lichstein, Jeremy W, Liebergesell, Mario, Lim, Jun Ying, Lin, Yan-Shih, Linares, Juan Carlo, Liu, Chunjiang, Liu, Daijun, Liu, Udayangani, Livingstone, Stuart, Llusià, Joan, Lohbeck, Madelon, López-García, Álvaro, Lopez-Gonzalez, Gabriela, Lososová, Zdeňka, Louault, Frédérique, Lukács, Balázs A, Lukeš, Petr, Luo, Yunjian, Lussu, Michele, Ma, Siyan, Maciel Rabelo Pereira, Camilla, Mack, Michelle, Maire, Vincent, Mäkelä, Annikki, Mäkinen, Harri, Malhado, Ana Claudia Mende, Mallik, Azim, Manning, Peter, Manzoni, Stefano, Marchetti, Zuleica, Marchino, Luca, Marcilio-Silva, Viniciu, Marcon, Eric, Marignani, Michela, Markesteijn, Lar, Martin, Adam, Martínez-Garza, Cristina, Martínez-Vilalta, Jordi, Mašková, Tereza, Mason, Kelly, Mason, Norman, Massad, Tara Joy, Masse, Jacynthe, Mayrose, Itay, Mccarthy, Jame, Mccormack, M Luke, Mcculloh, Katherine, Mcfadden, Ian R, Mcgill, Brian J, Mcpartland, Mara Y, Medeiros, Juliana S, Medlyn, Belinda, Meerts, Pierre, Mehrabi, Zia, Meir, Patrick, Melo, Felipe P L, Mencuccini, Maurizio, Meredieu, Céline, Messier, Julie, Mészáros, Ilona, Metsaranta, Juha, Michaletz, Sean T, Michelaki, Chrysanthi, Migalina, Svetlana, Milla, Ruben, Miller, Jesse E D, Minden, Vanessa, Ming, Ray, Mokany, Karel, Moles, Angela T, Molnár, Attila, Molofsky, Jane, Molz, Martin, Montgomery, Rebecca A, Monty, Arnaud, Moravcová, Lenka, Moreno-Martínez, Alvaro, Moretti, Marco, Mori, Akira S, Mori, Shigeta, Morris, Dave, Morrison, Jane, Mucina, Ladislav, Mueller, Sandra, Muir, Christopher D, Müller, Sandra Cristina, Munoz, Françoi, Myers-Smith, Isla H, Myster, Randall W, Nagano, Masahiro, Naidu, Shawna, Narayanan, Ayyappan, Natesan, Balachandran, Negoita, Luka, Nelson, Andrew S, Neuschulz, Eike Lena, Ni, Jian, Niedrist, Georg, Nieto, Jhon, Niinemets, Ülo, Nolan, Rachael, Nottebrock, Henning, Nouvellon, Yann, Novakovskiy, Alexander, Nystuen, Kristin Odden, O'Grady, Anthony, O'Hara, Kevin, O'Reilly-Nugent, Andrew, Oakley, Simon, Oberhuber, Walter, Ohtsuka, Toshiyuki, Oliveira, Ricardo, Öllerer, Kinga, Olson, Mark E, Onipchenko, Vladimir, Onoda, Yusuke, Onstein, Renske E, Ordonez, Jenny C, Osada, Noriyuki, Ostonen, Ivika, Ottaviani, Gianluigi, Otto, Sarah, Overbeck, Gerhard E, Ozinga, Wim A, Pahl, Anna T, Paine, C E Timothy, Pakeman, Robin J, Papageorgiou, Aristotelis C, Parfionova, Evgeniya, Pärtel, Meeli, Patacca, Marco, Paula, Susana, Paule, Juraj, Pauli, Harald, Pausas, Juli G, Peco, Begoña, Penuelas, Josep, Perea, Antonio, Peri, Pablo Lui, Petisco-Souza, Ana Carolina, Petraglia, Alessandro, Petritan, Any Mary, Phillips, Oliver L, Pierce, Simon, Pillar, Valério D, Pisek, Jan, Pomogaybin, Alexandr, Poorter, Hendrik, Portsmuth, Angelika, Poschlod, Peter, Potvin, Catherine, Pounds, Devon, Powell, A Shafer, Power, Sally A, Prinzing, Andrea, Puglielli, Giacomo, Pyšek, Petr, Raevel, Valerie, Rammig, Anja, Ransijn, Johanne, Ray, Courtenay A, Reich, Peter B, Reichstein, Marku, Reid, Douglas E B, Réjou-Méchain, Maxime, de Dios, Victor Resco, Ribeiro, Sabina, Richardson, Sarah, Riibak, Kersti, Rillig, Matthias C, Riviera, Fiamma, Robert, Elisabeth M R, Roberts, Scott, Robroek, Bjorn, Roddy, Adam, Rodrigues, Arthur Viniciu, Rogers, Alistair, Rollinson, Emily, Rolo, Victor, Römermann, Christine, Ronzhina, Dina, Roscher, Christiane, Rosell, Julieta A, Rosenfield, Milena Fermina, Rossi, Christian, Roy, David B, Royer-Tardif, Samuel, Rüger, Nadja, Ruiz-Peinado, Ricardo, Rumpf, Sabine B, Rusch, Graciela M, Ryo, Masahiro, Sack, Lawren, Saldaña, Angela, Salgado-Negret, Beatriz, Salguero-Gomez, Roberto, Santa-Regina, Ignacio, Santacruz-García, Ana Carolina, Santos, Joaquim, Sardans, Jordi, Schamp, Brandon, Scherer-Lorenzen, Michael, Schleuning, Matthia, Schmid, Bernhard, Schmidt, Marco, Schmitt, Sylvain, Schneider, Julio V, Schowanek, Simon D, Schrader, Julian, Schrodt, Franziska, Schuldt, Bernhard, Schurr, Frank, Selaya Garvizu, Galia, Semchenko, Marina, Seymour, Colleen, Sfair, Julia C, Sharpe, Joanne M, Sheppard, Christine S, Sheremetiev, Serge, Shiodera, Satomi, Shipley, Bill, Shovon, Tanvir Ahmed, Siebenkäs, Alrun, Sierra, Carlo, Silva, Vasco, Silva, Mateu, Sitzia, Tommaso, Sjöman, Henrik, Slot, Martijn, Smith, Nicholas G, Sodhi, Darwin, Soltis, Pamela, Soltis, Dougla, Somers, Ben, Sonnier, Grégory, Sørensen, Mia Vedel, Sosinski, Enio Egon, Soudzilovskaia, Nadejda A, Souza, Alexandre F, Spasojevic, Marko, Sperandii, Marta Gaia, Stan, Amanda B, Stegen, Jame, Steinbauer, Klau, Stephan, Jörg G, Sterck, Frank, Stojanovic, Dejan B, Strydom, Tanya, Suarez, Maria Laura, Svenning, Jens-Christian, Svitková, Ivana, Svitok, Marek, Svoboda, Miroslav, Swaine, Emily, Swenson, Nathan, Tabarelli, Marcelo, Takagi, Kentaro, Tappeiner, Ulrike, Tarifa, Rubén, Tauugourdeau, Simon, Tavsanoglu, Cagatay, Te Beest, Mariska, Tedersoo, Leho, Thiffault, Nelson, Thom, Dominik, Thomas, Evert, Thompson, Ken, Thornton, Peter E, Thuiller, Wilfried, Tichý, Lubomír, Tissue, David, Tjoelker, Mark G, Tng, David Yue Phin, Tobias, Joseph, Török, Péter, Tarin, Tonantzin, Torres-Ruiz, José M, Tóthmérész, Béla, Treurnicht, Martina, Trivellone, Valeria, Trolliet, Franck, Trotsiuk, Volodymyr, Tsakalos, James L, Tsiripidis, Ioanni, Tysklind, Nikla, Umehara, Toru, Usoltsev, Vladimir, Vadeboncoeur, Matthew, Vaezi, Jamil, Valladares, Fernando, Vamosi, Jana, van Bodegom, Peter M, van Breugel, Michiel, Van Cleemput, Elisa, van de Weg, Martine, van der Merwe, Stephni, van der Plas, Fon, van der Sande, Masha T, van Kleunen, Mark, Van Meerbeek, Koenraad, Vanderwel, Mark, Vanselow, Kim André, Vårhammar, Angelica, Varone, Laura, Vasquez Valderrama, Maribel Yesenia, Vassilev, Kiril, Vellend, Mark, Veneklaas, Erik J, Verbeeck, Han, Verheyen, Kri, Vibrans, Alexander, Vieira, Ima, Villacís, Jaime, Violle, Cyrille, Vivek, Pandi, Wagner, Katrin, Waldram, Matthew, Waldron, Anthony, Walker, Anthony P, Waller, Martyn, Walther, Gabriel, Wang, Han, Wang, Feng, Wang, Weiqi, Watkins, Harry, Watkins, Jame, Weber, Ulrich, Weedon, James T, Wei, Liping, Weigelt, Patrick, Weiher, Evan, Wells, Aidan W, Wellstein, Camilla, Wenk, Elizabeth, Westoby, Mark, Westwood, Alana, White, Philip John, Whitten, Mark, Williams, Mathew, Winkler, Daniel E, Winter, Klau, Womack, Chevonne, Wright, Ian J, Wright, S Joseph, Wright, Justin, Pinho, Bruno X, Ximenes, Fabiano, Yamada, Toshihiro, Yamaji, Keiko, Yanai, Ruth, Yankov, Nikolay, Yguel, Benjamin, Zanini, Kátia Janaina, Zanne, Amy E, Zelený, David, Zhao, Yun-Peng, Zheng, Jingming, Zheng, Ji, Ziemińska, Kasia, Zirbel, Chad R, Zizka, Georg, Zo-Bi, Irié Casimir, Zotz, Gerhard, Wirth, Christian, AXA Research Fund, Commission of the European Communities, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université Paul-Valéry - Montpellier 3 (UPVM)-École pratique des hautes études (EPHE), Leydet, Michelle, Max Planck Institute for Biogeochemistry, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Universidad Nacional de Córdoba, LECA, Imperial College, Université Paris-Saclay, Tarbiat Modares University, University of Roma Tre, Tohoku University, IMBE, Universidad de Jaén, Instituto Alexander Von Humboldt, National Institute of Amazonian Research (INPA), Suez Canal University, Université de Lorraine, University of Göttingen, Universidad Nacional de Río Negro, Conicet-Consejo Nacional de Investigaciones Científicas y Técnicas, Pacific Northwest National Laboratory, University of Massachusetts Amherst, Wageningen University, University of Victoria, James Cook University, University of Pittsburgh, Université Laval, Arizona State University, University of North Florida, Australian National University, Natural Resources Canada, University of Copenhagen, Royal Botanic Gardens Kew, University of Groningen, University of California Berkeley, Wilfrid Laurier University, University of Minnesota, The University of Adelaide, UMR SELMET, Univ Montpellier, University of California at Berkeley, Colorado State University, Ghent University, Helmholtz Centre for Environmental Research – UFZ, Royal Museum for Central Africa, University of Tennessee, Rocky Mountain Biological Laboratory, Université du Québec À Montréal, Museo Nacional de Ciencias Naturales-CSIC, Universidad Nacional de Colombia, Fundación Natura, Universidade Federal do Rio Grande do Sul, Northern Arizona University, Friedrich Schiller University Jena, ETH Zurich, University of Gothenburg, Université Clermont-Auvergne, USDA-ARS Rangeland Resources & Systems Research Unit, Grupo de Investigación en Biodiversidad y Dinámica de Ecosistémas Tropicales - Universidad del Tolima, University of Florida, Senckenberg Biodiversity and Climate Research Centre, Goethe Universität Frankfurt, University of Cape Town, SAEON Fynbos Node, Radboud University, Archbold Biological Station's Buck Island Ranch, University of Connecticut, University of Tasmania, Universidad Nacional de Santiago del Estero, University of Nottingham, Kingston University, Martin Luther University Halle-Wittenberg, Universidad Nacional del Litoral (FICH-UNL), Université de Montpellier, Herbier de Nouvelle-Calédonie, University of Toronto Scarborough, Aarhus University, New Jersey Institute of Technology, Sapienza University of Rome, Yonsei University, Università degli Studi di Milano, Aix-Marseille University, ETH Zürich, Snow and Landscape Research WSL, The University of Melbourne, Instituto Pirenaico de Ecología (IPE-CSIC), Colgate University, University of Camerino, University of the Basque Country UPV/EHU, CATIE-Centro Agronómico Tropical de Investigación y Enseñanza, BIOGECO, King's College London, University of Insubria, Alma Mater Studiorum – University of Bologna, Universidad de Costa Rica, The University of Arizona, University of Alaska Fairbanks, Royal Botanic Gardens, WSL Swiss Federal Research Institute, University of British Columbia, CREA – Research Centre for Forestry and Wood, Jungwon University, University of Pisa, University of Lleida, Joint Research Unit CTFC – AGROTECNIO, University of California Riverside, University of Life Sciences Prague, Czech Academy of Sciences, University of Cambridge, Vrije Universiteit, UNSW Sydney, Jonah Ventures, Universidad Mayor, Swedish University of Agricultural Sciences, Nelson Mandela University, MTA Centre for Ecological Research, UMR Silva, Santa Catarina State University, Michigan State University, Institute of Biology of Komi Science Centre of the Ural Branch of the Russian Academy of Sciences, University of Science – Vietnam National University Ho Chi Minh City, University of Pretoria, Netherlands Institute of Ecology, UFZ – Helmholtz Centre for Environmental Research, Seoul National University, Institute of Temperate Forest Sciences (ISFORT), UQO, Université de la Guyane), Goethe-Universität Frankfurt, Iluka Resources, The University of Western Australia, University of Vienna, University of South Bohemia, Karlstad University, Earth and Environmental Sciences – University of Birmingham, Spanish National Research Council – CSIC, CREAF, University of Maryland, University of A Coruña, Rutgers University, Peking University, Ordu University, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidade Estadual Paulista (Unesp), Queensland University of Technology (QUT), Arnold Arboretum of Harvard University, Université de Rouen, University of Liège, Géopole de l'Université de Sherbrooke, Paul Sabatier University Toulouse, University of Manchester, Universidade Federal do Rio Grande do Norte – UFRN, Universidad Rey Juan Carlos, Universidad Nacional de La Patagonia Austral, Univ. Paul Valéry, Consejo Superior de Investigaciones Científicas, Universidade Regional de Blumenau, Southern Illinois University Carbondale, Instituto Federal de Educação Ciência e Tecnologia do Ceará, Agricultural Research Service, ETH Zürich (Swiss Federal Institute of Technology), CSIC – Institute for Sustainable Agriculture (IAS), Universidad del Rosario, Norwegian University of Science and Technology NTNU, University of Alcalá, UMR Ecosystème Prairial, The University of Manchester, China Agricultural University, Chinese Academy of Sciences, University of Reading, University of the Witwatersrand, Anglia Ruskin University, Norwegian University of Life Sciences, Curtin University, INP-HB, Scientific Campus of the University of the Basque Country, Goethe University, University of Natural Resources and Life Sciences, The Field Museum, Florida International University, US Department of Energy, Santa Cruz, Evolution and Biodiversity Conservation, Kochi University, University of Illinois at Chicago, Universitat de Barcelona, University of Toronto, Ural Branch of the Russian Academy of Sciences, Oak Ridge National Laboratory, Universitat Politècnica de Catalunya, Polish Academy of Sciences, Poznan University of Life Sciences, Ulm University, Guangxi University, Jl. Kebun Raya Cibodas, Philipps-University Marburg, University Salzburg, CIRAD, Humboldt State University, The Czech Academy of Sciences, Charles University, Karlsruhe Institute of Technology, Forestry and Forest Products Research Institute, State University of New York at Stony Brook, University of Amsterdam, CONICET, Universidad Nacional del Comahue, Weizmann Institute of Science, Helmholtz Centre for Environmental Research-UFZ, Xi'an Jiaotong Liverpool University, Technical University of Munich, Wageningen University & Research, Land Life Company, Coconut Research Institute of Sri Lanka, UMR Eco&Sols, University of Montpellier, Université du Québec en Abitibi-Témiscamingue, University of Saskatchewan, University of Natural Resources and Life Sciences Vienna, University of Wyoming, University of Wisconsin Eau Claire, Naturalis Biodiversity Center, University College London, Sun Yat-sen University, University of Leipzig, Shanghai Jiao Tong University, National Forestry and Grassland Administration, Universitat Autònoma de Barcelona, Wageningen University and Research, World Agroforestry (ICRAF), University of Jaén, DRI, Global Change Research Institute AS CR, Université du Québec à Trois-Rivières, Federal University of Alagoas, Bolin Centre for Climate Research, Universidad Autónoma del Estado de Morelos, Manaaki Whenua - Landcare Research, Institut de recherche en biologie végétale, Université de Montréal, Tel Aviv University, The University of Queensland, CSIRO, Manaaki Whenua – Landcare Research, Université Libre de Bruxelles, The Australian National University, The University of Edinburgh, Universidade Federal de Pernambuco (UFPE), ICREA, UEFP, University of Waterloo, Tulipan s/n, Vrije Universiteit Brussel, University of Illinois at Urbana-Champaign, University of Vermont, Centre for Northern Forest Ecosystem Research, Matieland, University of Freiburg, University of Hawai'i, Université Grenoble-Alpes, French Institute of Pondicherry, Oklahoma State University, Charles Darwin Research Station, University of Idaho, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Universidad Distrital Francisco José de Caldas, NORD University, NTNU, Gifu University, Romanian Academy, Tercer Circuito s/n de Ciudad Universitaria, Universidad Nacional Autónoma de México, Moscow Lomonosov State University, Universidad de las Américas, Wageningen Environmental Research, Technische Universität München, University of New England, Democritus University of Thrace, Universidad Austral de Chile, Desertification Research Center (CIDE-CSIC), Universidad Autónoma de Madrid, Instituto Nacional de Tecnología Agropecuaria (INTA), National Institute for Research-Development in Forestry, University of Regensburg, McGill University, Morton Arboretum, Université Rennes 1/CNRS, Université Paul Valéry, Southwest University of Science and Technology, Universitat de Lleida, Universidade Federal do Acre, Manaaki Whenua-Landcare Research, Centre for Ecological Research and Forestry Applications (CREAF), Royal Museum for Central-Africa (RMCA), Mississippi State University, Radboud University Nijmegen, Yale University, Brookhaven National Laboratory, Ciudad Universitaria, University of Zurich, Chastè Planta-Wildenberg, Centre for Ecology & Hydrology (CEH), Canadian Forest Service, University of Valladolid-INIA, University of Lausanne, Norwegian Institute for Nature Research, Oxford University, Instituto de Recursos Naturales y Agrobiología de Salamanca (IRNASA-CSIC), Universidade de Coimbra, Senckenberg Biodiversität und Klima Forschungszentrum (SBiK-F), Palmengarten der Stadt Frankfurt am Main, Research Institute for Humanity and Nature, University of Regina, Technische Universität Ilmenau, Università degli Studi di Padova, Gothenburg Botanical Garden, Texas Tech University, Archbold Biological Station, Universidade Federal do Rio Grande do Norte, Slovak Academy of Sciences, Czech University of Life Sciences, Estación Experimental de Zonas Áridas (CSIC), CIRAD-UMR SELMET-PZZS, Hacettepe University, Utrecht University, Canadian Wood Fibre Centre, University of Sheffield, Silwood Park, MTA-DE Lendület Functional and Restoration Ecology Research Group, University of Delaware, UMR PIAF, MTA-TKI Biodiversity and Ecosystem Services Research Group, University of Illinois, Botanical Garden of Ural Branch of Russian Academy of Sciences, University of New Hampshire, National University of Singapore, Edinburgh University, Florida Institute of Technology, University of Konstanz, Taizhou University, University of Erlangen-Nuremberg, Universidad de Concepcion, Bulgarian Academy of Sciences, Museu Paraense Emilio Goeldi, Universidad de las Fuerzas Armadas (ESPE), Goa University, Pondicherry University, Carl von Ossietzky University of Oldenburg, Cambridge Conservation Initiative, Tsinghua University, Chinese Academy of Forestry, Fujian Normal University, Vrije Universiteit Amsterdam, Maritime and Science Technology Academy, University of Winnipeg, King Saud University, University of California – Irvine, U. S. Geological Survey, Duke University, NSW Department of Primary Industries, SUNY-College of Environmental Science and Forestry, Sorbonne-Université, Laboratório de Ecologia Vegetal (LEVEG), George Washington University, National Taiwan University, Institut National Polytechnique Félix Houphouët-Boigny (INP-HB), University Oldenburg, and Biyoloji
Subjects: [SDE] Environmental Sciences, LIFE-HISTORY, Geography & travel, WOOD DENSITY, plant trait, Biodiversity & Conservation, 05 Environmental Sciences, Growth, 580 Plants (Botany), COMMUNITY COMPOSITION, ROOT TRAITS, Biologiska vetenskaper, Ecological modeling, data coverage, data integration, data representativeness, functional diversity, plant traits, TRY plant trait database, Biodiversity, Ecology, Plants, Access to Information, Ecosystem, data representativene, ddc:910, General Environmental Science, Global and Planetary Change, GLOBAL PATTERNS, food and beverages, LEAF PHOTOSYNTHETIC TRAITS, Biological Sciences, CAVElab, Data processing, ddc:580, [SDE]Environmental Sciences, Biodiversity Conservation, Life Sciences & Biomedicine, INCLINATION ANGLE DISTRIBUTION, Environmental Sciences & Ecology, Ecology and Environment, Database, LITTER DECOMPOSITION, ddc:570, Datenintegration, Environmental Chemistry, DDC 004 / Data processing & computer science, Intraspecific competition, Data integration (Computer science), Science & Technology, Biology and Life Sciences, Plant, 06 Biological Sciences, Environmental factor, Nutrient Network, Biology and Microbiology, FUNCTIONAL TRAITS, DDC 580 / Botanical sciences, Earth and Environmental Sciences, ddc:004, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Environmental Sciences, RELATIVE GROWTH-RATE
Abstract: Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives., publishedVersion
Published: 2020
Full Text: View/download PDF

25. Cropinfra research data collection platform for ISO 11783 compatible and retrofit farm equipment

Author: Raimo Linkolehto, Jere Kaivosoja, Ari Ronkainen, Pasi Suomi, Juha Backman, Jussi Nikander, Markku Koistinen, Liisa Pesonen, Luke Natural Resources Institute Finland, Natural Resources Institute Finland, Geoinformatics, Department of Built Environment, Aalto-yliopisto, and Aalto University
Subjects: 0106 biological sciences, Computer science, Cloud computing, Horticulture, Asset (computer security), 01 natural sciences, Data capture, Documentation, Development platform, Data collection, Agricultural machinery, business.industry, Forestry, 04 agricultural and veterinary sciences, Automation, Manufacturing engineering, Computer Science Applications, Data transfer, Document database, New product development, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Precision agriculture, ISOBUS, business, Agronomy and Crop Science, 010606 plant biology & botany
Abstract: The agricultural machinery produces an increasing number of measurements during operations. The primary use of these measurements is to control agricultural operations on the farm. Data that describes the in-field variation in plant growth potential and growing conditions is the basis for precision farming. The secondary use for the gathered information is documentation of work and work performance for business purposes. Researcher also benefits from the increasing measurement capabilities. Biologists and agronomists can model the crops and agronomic phenomena. Work scientists can analyse the agricultural work processes. And finally, machines with additional accurate sensors can be used for agricultural machine product development and technological research purposes. This paper concentrates on an independent research data collection platform (Cropinfra) which can be used to collect data for all above mentioned purposes. Data can be collected both from ISOBUS (ISO 11783) compliant machines as well as older and proprietary systems and stored to database for further analysis. The farm machines in Cropinfra are supplemented with extra sensors that are more accurate than existing in commercial machines. Therefore, the Cropinfra can be used as a reference measurement system to verify the correct operation of the machines as well as to produce data for biological research purposes. This paper will also present how the cloud connection of the data collection system can be realized. The solution was designed to be compatible with the existing ISO 11783-10 standard. The examples presented in this paper verify that the solution works in real farming environment. The data has been used in numerous research projects already, and in the future the data will be an important asset when machine learning and other artificial intelligence methods will be studied and utilized.
Published: 2019

26. Global distribution of earthworm diversity

Author: André L.C. Franco, Michiel Rutgers, Miguel Á. Rodríguez, Thomas W. Crowther, Helen Phillips, Tunsisa T. Hurisso, Olaf Schmidt, Matthew W. Warren, Shishir Paudel, Michael B. Wironen, Mónica Gutiérrez López, Basil V. Iannone, Aidan M. Keith, Amy Choi, Esperanza Huerta Lwanga, Boris Schröder, Olga Ferlian, Jaswinder Singh, Javier Rodeiro-Iglesias, Martin Holmstrup, Geoff H. Baker, Yahya Kooch, Rosa Fernández, Konstantin B. Gongalsky, Lindsey Norgrove, Eric Blanchart, Madhav P. Thakur, Felicity Crotty, Steven J. Vanek, Thomas Bolger, Jan Hendrik Moos, Guillaume Xavier Rousseau, Marie Luise Carolina Bartz, Iñigo Virto, Michael Steinwandter, Kelly S. Ramirez, Veikko Huhta, Ulrich Brose, Michel Loreau, Davorka K. Hackenberger, David J. Russell, Loes van Schaik, Salvador Rebollo, Jonatan Klaminder, Gerardo Moreno, Benjamin Schwarz, Julia Seeber, Yvan Capowiez, David A. Wardle, Bernd Blossey, Franciska T. de Vries, Christoph Emmerling, Robert L. Bradley, Courtland Kelly, Liliana B. Falco, Alexander M. Roth, Michael J. Gundale, Radim Matula, Andrea Dávalos, Lorenzo Pérez-Camacho, Johan Neirynck, Monika Joschko, Marta Novo, Dolores Trigo, Jérôme Mathieu, Adrian A. Wackett, Anne W. de Valença, Elizabeth M. Bach, Daniel R. Lammel, Devin Routh, Madalina Iordache, Luis M. Hernández, Johan Pansu, Juan B. Jesús Lidón, Alejandro Morón-Ríos, Maxim Shashkov, Ehsan Sayad, Martine Fugère, Nobuhiro Kaneko, Mark E. Caulfield, Klaus Birkhofer, Wim H. van der Putten, Iurii M. Lebedev, Alberto Orgiazzi, Miwa Arai, H. Lalthanzara, Raphaël Marichal, Andrew R. Holdsworth, Steven J. Fonte, Maria J. I. Briones, Raúl Piñeiro, Jean-François Ponge, Nick van Eekeren, Takuo Hishi, Julia Krebs, Joanne M. Bennett, George G. Brown, Birgitta König-Ries, Carlos Fragoso, Victoria Nuzzo, Anna Rożen, Scott R. Loss, Bart Muys, Bryant C. Scharenbroch, Michael Schirrmann, Radoslava Kanianska, Irina V. Zenkova, Maria Kernecker, Abegail T Fusilero, Sandy M. Smith, Shaieste Gholami, Robin Beauséjour, Mac A. Callaham, Nathaniel H. Wehr, Yiqing Li, Kristine N. Hopfensperger, Mujeeb Rahman P, Andrés Esteban Duhour, Erin K. Cameron, Diana H. Wall, Muhammad Rashid, José Antonio Talavera, Matthias C. Rillig, Armand W. Koné, Johan van den Hoogen, Darío J. Díaz Cosín, Anahí Domínguez, Thibaud Decaëns, Fredrick O. Ayuke, Carlos A. Guerra, Guénola Pérès, Volkmar Wolters, Jiro Tsukamoto, Nico Eisenhauer, José Camilo Bedano, Weixin Zhang, Noa Kekuewa Lincoln, Visa Nuutinen, Joann K. Whalen, Christian Mulder, Sanna T. Kukkonen, German Centre for Integrative Biodiversity Research (iDiv), Universidade Positivo, Departamento de Ecología y Biología Animal, Universidad de Vigo, Crowther Lab, Institute of Integrative Biology, ETH Zürich, A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences [Moscow] (RAS), JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Department of Biology [Fort Collins], Colorado State University [Fort Collins] (CSU), German Centre for Integrative Biodiversity Research, Étude et compréhension de la biodiversité (ECODIV), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Friedrich-Schiller-Universität Jena, Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Institut d'écologie et des sciences de l'environnement de Paris (IEES), Centre National de la Recherche Scientifique (CNRS)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA), Department of Terrestrial Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), National Institute for Public Health and the Environment [Bilthoven] (RIVM), Institut de recherche pour le développement [IRD] : UMR210, School of Biology and Environmental Science, University College Dublin [Dublin] (UCD), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), Institut National de la Recherche Agronomique (INRA), Centro International de Agricultura Tropical, Red de Biodiversidad y Sistemática, Instituto de Ecología, Department of Terrestrial Ecology, Fluides, automatique, systèmes thermiques (FAST), Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Biogéochimie et écologie des milieux continentaux (Bioemco), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris), Universidad de Extremadura (UEX), Division of Forest, Nature and Landscape, Department of Earth and Environmental Sciences [Leuven] (EES), Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)-Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Laboratoire d'Ecologie Alpine (LECA), Université Grenoble Alpes (UGA)-Université Joseph Fourier - Grenoble 1 (UJF)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), University of Vigo [ Pontevedra], Centre d'Ecologie et des Sciences de la COnservation (CESCO), Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Center of Excellence in Environmental Studies, King Abdulaziz University, Dept Ciencias Vida, Universidad de Alcalá - University of Alcalá (UAH), Faculty of Business Administration and Economics, DS&OR-Lab, University of Paderborn, Laboratoire d'oncogénétique moléculaire, Mountain Agriculture Research Unit, University of Innsbruck, Independent, Universidad Pública de Navarra [Espagne] (UPNA), McGill University, Department of Animal Ecology and Systematics, Justus-Liebig-Universität Gießen (JLU), Jiangsu Academy of Agricultural Sciences, Université de Leipzig, Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Leipzig University, Martin-Luther-Universität Halle Wittenberg (MLU), Universidade de Vigo, Embrapa Forestry, Brazilian Agricultural Research Corporation (Embrapa), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), M.V. Lomonosov Moscow State University, Department of Biometry and Environmental System Analysis, Albert-Ludwigs-Universität Freiburg, Institute of Biodiversity, Friedrich Schiller University Jena, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institute of Computer Science, Friedrich Schiller University Jena, Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut d'écologie et des sciences de l'environnement de Paris (iEES), Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Università degli studi di Catania = University of Catania (Unict), Department of Terrestrial Ecology [Wageningen], Netherlands Institute of Ecology (NIOO-KNAW), Laboratory of Nematology, Department of Plant Sciences, Wageningen University & Research, Freie Universität Berlin, Senckenberg Museum of Natural History Görlitz, Senckenberg – Leibniz Institution for Biodiversity and Earth System Research - Senckenberg Gesellschaft für Naturforschung, Leibniz Association-Leibniz Association, Global Soil Biodiversity Initiative and School of Global Environmental Sustainability, Colorado State University, Asian School of the Environment (ASE), Nanyang Technological University [Singapour], Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization, Department of Land Resource Management and Agricultural technology (LARMAT), College of 80 Agriculture and Veterinary Sciences, University of Nairobi (LARMAT), CSIRO Health & Biosecurity, Département de biologie [Sherbrooke] (UdeS), Faculté des sciences [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Geology Department, FCEFQyN, ICBIA-CONICET (National Scientific and Technical Research Council), National University of Río Cuarto, Department of Ecology, Brandenburg University of Technology, Ecologie fonctionnelle et biogéochimie des sols et des agro-écosystèmes (UMR Eco&Sols), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Department of Natural Resources, Cornell University, Cornell University [New York], UCD Earth Institute, University College Dublin, USDA Forest Service, Southern Research Station, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Institut National de la Recherche Agronomique (INRA)-Avignon Université (AU), Farming Systems Ecology, Wageningen University and Research, Faculty of Forestry, University of Toronto, Institute of Biological, Environmental & Rural Sciences, Aberystwyth University, Department of Biological Sciences, SUNY Cortland, Department of Biodiversity, Ecology and Evolution [Madrid], Universidad Complutense de Madrid = Complutense University of Madrid [Madrid] (UCM), Laboratorio de Ecología, Instituto de Ecología y Desarrollo Sustentable, Universidad Nacional de Luján, Louis Bolk Institute (LBI), Department of Soil Science, Faculty of Regional & Environmental Sciences, University of Trier, Ciencias Básicas, Instituto de Ecología y Desarrollo Sustentable -INEDES, Universidad Nacional de Lujan, Institut de Biologia Evolutiva [Barcelona] (IBE / UPF - CSIC), Universitat Pompeu Fabra [Barcelona] (UPF), Department of Soil and Crop Sciences, Colorado State University, Biodiversity and Systematic Network, Instituto de Ecología A.C., Department of Biological Science and Environmental Studies, University of the Philippines - Mindanao, Natural Resources Department, Razi University, Department of Forest Ecology and Management, Swedish University of Agricultural Sciences (SLU), Department of Biology, J. J. Strossmayer University of Osijek, Agricultural Engineering, Postgraduate Program in Agroecology, Maranhão State University, Faculty of Agriculture, Kyushu University, Minnesota Pollution Control Agency, Department of Bioscience, Aarhus University, Biological Sciences, Northern Kentucky University, Agricultura Sociedad y Ambiente, El Colegio de la Frontera Sur, Soil Physics and Land Management degradation, Wageningen University & Research, Wageningen University, Department of Biological and Environmental Science [Jyväskylä Univ] (JYU), University of Jyväskylä (JYU), College of Agriculture, Environmental and Human Sciences, Lincoln University of Missouri, School of Forest Resources and Conservation [Gainesville] (UF|IFAS|FFGS), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), Sustainable Development and Environment Engineering, Banat's University of Agricultural Sciences and Veterinary Medicine 'King Michael the 1st of Romania', Experimental Infrastructure Platform, Leibniz Centre for Agricultural Landscape Research (ZALF), Faculty of Food and Agricultural Sciences, Fukushima University, Matej Bel University (UMB), Centre for Ecology and Hydrology [Lancaster] (CEH), Natural Environment Research Council (NERC), Land Use and Governance, Leibniz Centre for Agricultural Landscape Research (ZALF), Climate Impacts Research Centre (CIRC), Umeå University, UR Gestion Durable des Sols, UFR Sciences de la Nature, Université Nangui Abrogoua, Tarbiat Modares University [Tehran], Natural Resources Institute Finland (LUKE), Department of Zoology, Pachhunga University College, Soil Science, ESALQ-USP, Universidade de São Paulo, College of Agriculture, Forestry and Natural Resource Management, University of Hawaii at Hilo, Tropical Plant and Soil Sciences, College of Tropical Agriculture and Human Resources, University of Hawai‘i at Mānoa, Department of Natural Resource Ecology and Management, Oklahoma State University, Performance des systèmes de culture des plantes pérennes (UPR Système de pérennes), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Department of Forest Ecology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague (CZU), Department of Soil and Environment, Forest Research Institute of Baden-Wuerttemberg, Thuenen-Institute of Organic Farming, Forestry School - INDEHESA, University of Extremadura, Conservación de la Biodiversidad, El Colegio de la Frontera Sur, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Research Institute for Nature and Forest, Research Institute for Nature and Forest (INBO), School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences (BFH), Natural Area Consultants, Department of Zoology, Pocker Sahib Memorial Orphanage College, CSIRO Ocean & Atmosphere, CSIRO, Adaptation et diversité en milieu marin (AD2M), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Ecology and Forest Restoration Group, Department of Life Sciences, University of Alcalá, Computing, ESEI, Vigo, Mécanismes Adaptatifs et Evolution (MECADEV), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Centre of Excellence in Environmental Studies, King Abdulaziz University, Environmental Sciences, COMSATS University, Life Sciences, Sciences Faculty, University of Alcalá, University of Minnesota [Twin Cities] (UMN), University of Minnesota System, Friends of the Mississippi River, Postgraduate Program in Biodiversity and Conservation, Federal University of Maranhão, Uniwersytet Jagielloński w Krakowie = Jagiellonian University (UJ), Institute of Ecology, Technical University of Berlin, College of Natural Resources, University of Wisconsin, Engineering for Crop Production, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), UCD School of Agriculture and Food Science, University College Dublin, Landscape Ecology and Environmental Systems Analysis, Institute of Geoecology, Technische Universität Braunschweig, Universität Innsbruck [Innsbruck], Institute for Alpine Environment, Eurac Research, Laboratory of Ecosystem Modelling, Institute of Physicochemical and Biological Problems in Soil Sciences, Russian Academy of Science, Laboratory of Computational Ecology, Institute of Mathematical Problems of Biology RAS – the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Post Graduate Department of Zoology, Khalsa College Amritsar, John H. Daniels Faculty of Architecture, Landscape and Design, University of Toronto, Universidad de La Laguna [Tenerife - SP] (ULL), Faculty of Agriculture, Kochi University, Food & Agriculture, WWF-Netherlands, Universidad Pública de Navarra [Espagne] = Public University of Navarra (UPNA), Soil, Water and Climate, University of Minnesota, Earth Innovation Institute, Department of Natural Resources & Environmental Management, University of Hawai'i at Mānoa, Natural Resource Sciences, McGill University, McGill University = Université McGill [Montréal, Canada], The Nature Conservancy, Justus-Liebig-Universität Gießen = Justus Liebig University (JLU), Laboratory of Terrestrial Ecosystems, Kola Science Centre, Institute of the North Industrial Ecology Problems, Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (Henan University), Ministry of Education, College of Environment and Planning, Henan University, Department of Environmental Science, Saint Mary’s University, Faculty of Biological and Environmental Sciences [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, ANR-11-IDEX-0002,UNITI,Université Fédérale de Toulouse(2011), Institute of Biology, Leipzig University, Institute of Biology, Martin Luther University Halle-Wittenberg, Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Department of Biological, Geological and Environmental Sciences, University of Catania, Institute of Biology, Freie Universität Berlin, Senckenberg Museum for Natural History Görlitz, Department of Soil Zoology, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Faculty of Natural Resources & Marine Sciences, Tarbiat Modares University, Production Systems, Horticulture Technologies, Natural Resources Institute Finland, Soil Ecosystems, Natural Resources Institute Finland (Luke), Station biologique de Roscoff (SBR), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA), Departamento de Informática, Escuela Superior de Ingeniería Informática, Universidad de Vigo, Institute of Environmental Sciences, Jagiellonian University, Department of Ecology, University of Innsbruck, Department of Animal Biology (Zoology area), Science Faculty, University of La Laguna, Dpto. Ciencias, IS-FOOD, Universidad Pública de Navarra, Department of Animal Ecology, Justus Liebig University, University of Helsinki, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Department of Biology, Colorado State University, Centre National de la Recherche Scientifique (CNRS)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Université Joseph Fourier - Grenoble 1 (UJF)-Université Grenoble Alpes (UGA), Lomonosov Moscow State University (MSU), Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université de Toulouse (UT)-Université de Toulouse (UT)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Wageningen University and Research [Wageningen] (WUR), National Agriculture and Food Research Organization (NARO), University of Nairobi (UoN), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), National University of Río Cuarto = Universidad Nacional de Río Cuarto (UNRC), Brandenburg University of Technology [Cottbus – Senftenberg] (BTU), Department of Natural Resources & The Environment [CALS], College of Agriculture and Life Sciences [Cornell University] (CALS), Cornell University [New York]-Cornell University [New York], School of Biology and Environmental Sciences (SBES), USDA Forest Service, University of Toronto, Aberystwyth University, Universidad Nacional de Luján [Buenos Aires], Trier University of Applied Sciences, Razi University of Kermanshah, Josip Juraj Strossmayer University of Osijek, Universidade Estadual do Maranhão = State University of Maranhão (UEMA), Kyushu University, Aarhus University [Aarhus], Northern Kentucky University, Adaptation et diversité en milieu marin (ADMM), Institut national des sciences de l'Univers (INSU - CNRS)-Station biologique de Roscoff (SBR), Ecosystem and Landscape Dynamics (IBED, FNWI), Deutsche Forschungsgemeinschaft - German Research Foundation (DFG), Martin-Luther-University Halle-Wittenberg, Joint Research Centre, European Commission, Department of Biology, University of Minho [Braga], University of Amsterdam [Amsterdam] (UvA), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris), Institut National de la Recherche Agronomique (INRA)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS), Royal Netherlands Academy of Arts and Sciences (KNAW), Laboratory of Nematology, Department of Plant Sciences, Free University of Berlin (FU), Senckenberg Research Institute, European Project: 227161,EC:FP7:KBBE,FP7-KBBE-2008-2B,BIOBIO(2009), Biometry and Environmental System Analysis, University of Freiburg, Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Theoretical and Experimental Ecology Station, Centre National de la Recherche Scientifique (CNRS), Asian School of the Environment, Nanyang Technological University, Département de Biologie, Université de Sherbrooke, Sherbrooke, QC, Canada, Université de Sherbrooke, Institut National de la Recherche Agronomique (INRA)-Institut de Recherche pour le Développement (IRD)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Cornell University, UMR 1114 'EMMAH', INRA, Complutense University of Madrid (UCM), Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Forest Ecology and Management, Swedish University of Agricultural Sciences, Department of Biological and Environmental Science, University of Jyväskylä, School of Forest Resources and Conservation, University of Florida, Department of Environmental Management, Faculty of Natural Sciences, Matej Bel University, Department of Ecology and Environmental Science, Climate Impacts Research Centre, Umeå University, A.N. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Performance des systèmes de culture des plantes pérennes (Cirad-Persyst-UPR 34 Système de pérennes), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Department of Forest Ecology, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Department of Earth & Environmental Sciences, KU Leuven, School of Agricultural, Forest and Food Sciences, Bern University of Applied Sciences, UMR7144 Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, CNRS-Sorbonne Universite, AGROCAMPUS OUEST-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Mécanismes adaptatifs : des organismes aux communautés (MECADEV), Department of Forest Resources, University of Minnesota, Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), European Research Council, Academy of Finland, Natural Sciences and Engineering Research Council of Canada, Russian Foundation for Basic Research, Slovak Research and Development Agency, Wageningen University and Research Centre, International Atomic Energy Agency, Fundação de Amparo à Pesquisa do Estado de São Paulo, Royal Canadian Geographical Society, Irish Government, University of Hawaii, U.S. Navy, Department of Science and Technology (India), Department of Defense (US), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), Ministry of Education, Youth and Sports (Czech Republic), Agence Nationale de la Recherche (France), Austrian Science Fund, Welsh Government, Science Foundation Ireland, University of Kentucky, Higher Education Commission (Pakistan), Universidad Complutense de Madrid, Grains Research and Development Corporation (Australia), Consejo Nacional de Investigaciones Científicas y Técnicas (Argentina), Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Ministère de l'Europe et des Affaires étrangères (France), University of Minho, Università degli Studi di Catania (UniCT), Terrestrial Ecology (TE), Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)
Subjects: 0106 biological sciences, LITTER, Earth, Planet, Climate, Biologie du sol, Biodiversity, Facteur climatique, 01 natural sciences, Ver de terre, Ecosystem services, purl.org/becyt/ford/1 [https], Soil, Abundance (ecology), FORESTS, 11. Sustainability, DRIVERS, Biomass, 2. Zero hunger, 0303 health sciences, Biomass (ecology), Multidisciplinary, biology, Ecology, Earth, 04 agricultural and veterinary sciences, POPULATION-DENSITY, earthworm, distribution, diversity, pattern, PE&RC, MINHOCAS, Habitat, Plant Production Systems, international, L20 - Écologie animale, Biodiversité, Écosystème, Zone tropicale, Soil biology, Biocénose, Invertebrados, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, Models, Biological, 010603 evolutionary biology, Ecology and Environment, Zone tempérée, 03 medical and health sciences, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Life Science, Animals, Ecosystem, PLANT, Oligochaeta, purl.org/becyt/ford/1.6 [https], 030304 developmental biology, Earthworm, Tropics, P34 - Biologie du sol, Species diversity, SHIFTS, Farm Systems Ecology Group, Bodemfysica en Landbeheer, 15. Life on land, Ecología, biology.organism_classification, Soil Physics and Land Management, SOIL, Agriculture and Soil Science, 13. Climate action, Plantaardige Productiesystemen, 040103 agronomy & agriculture, PATTERNS, Linear Models, 0401 agriculture, forestry, and fisheries, BIODIVERSITY, Species richness, Planet, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, COMMUNITIES, Zoology, Animal Distribution, Models Biological
Abstract: Soil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, their distribution, and the threats affecting them. We compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries as a basis for predicting patterns in earthworm diversity, abundance, and biomass. We found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms. However, high species dissimilarity across tropical locations may cause diversity across the entirety of the tropics to be higher than elsewhere. Climate variables were found to be more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and for the functions they provide., 677232 to N.E.). K.S.R. and W.H.v.d.P. were supported by ERC-ADV grant 323020 to W.H.v.d.P. Also supported by iDiv (DFG FZT118) Flexpool proposal 34600850 (C.A.G. and N.E.); the Academy of Finland (285882) and the Natural Sciences and Engineering Research Council of Canada (postdoctoral fellowship and RGPIN-2019-05758) (E.K.C.); DOB Ecology (T.W.C., J.v.d.H., and D.R.); ERC-AdG 694368 (M.R.); and the TULIP Laboratory of Excellence (ANR-10-LABX-41) (M.L.). In addition, data collection was funded by the Russian Foundation for Basic Research (12-04-01538-a, 12-04-01734-a, 14-44-03666-r_center_a, 15-29-02724-ofi_m, 16-04-01878-a 19-05-00245); Tarbiat Modares University; Aurora Organic Dairy; UGC(NERO) (F. 1-6/Acctt./NERO/2007-08/1485); Natural Sciences and Engineering Research Council (RGPIN-2017-05391); Slovak Research and Development Agency (APVV-0098-12); Science for Global Development through Wageningen University; Norman Borlaug LEAP Programme and International Atomic Energy Agency (IAEA); São Paulo Research Foundation - FAPESP (12/22510-8); Oklahoma Agricultural Experiment Station; INIA - Spanish Agency (SUM 2006-00012-00-0); Royal Canadian Geographical Society; Environmental Protection Agency (Ireland) (2005-S-LS-8); University of Hawai‘i at Mānoa (HAW01127H; HAW01123M); European Union FP7 (FunDivEurope, 265171); U.S. Department of the Navy, Commander Pacific Fleet (W9126G-13-2-0047); Science and Engineering Research Board (SB/SO/AS-030/2013) Department of Science and Technology, New Delhi, India; Strategic Environmental Research and Development Program (SERDP) of the U.S. Department of Defense (RC-1542); Maranhão State Research Foundation (FAPEMA); Coordination for the Improvement of Higher Education Personnel (CAPES); Ministry of Education, Youth and Sports of the Czech Republic (LTT17033); Colorado Wheat Research Foundation; Zone Atelier Alpes, French National Research Agency (ANR-11-BSV7-020-01, ANR-09-STRA-02-01, ANR 06 BIODIV 009-01); Austrian Science Fund (P16027, T441); Landwirtschaftliche Rentenbank Frankfurt am Main; Welsh Government and the European Agricultural Fund for Rural Development (Project Ref. A AAB 62 03 qA731606); SÉPAQ; Ministry of Agriculture and Forestry of Finland; Science Foundation Ireland (EEB0061); University of Toronto (Faculty of Forestry); National Science and Engineering Research Council of Canada; Haliburton Forest and Wildlife Reserve; NKU College of Arts and Sciences Grant; Österreichische Forschungsförderungsgesellschaft (837393 and 837426); Mountain Agriculture Research Unit of the University of Innsbruck; Higher Education Commission of Pakistan; Kerala Forest Research Institute, Peechi, Kerala; UNEP/GEF/TSBF-CIAT Project on Conservation and Sustainable Management of Belowground Biodiversity; Ministry of Agriculture and Forestry of Finland; Complutense University of Madrid/European Union FP7 project BioBio (FPU UCM 613520); GRDC; AWI; LWRRDC; DRDC; CONICET (National Scientific and Technical Research Council) and FONCyT (National Agency of Scientific and Technological Promotion) (PICT, PAE, PIP), Universidad Nacional de Luján y FONCyT [PICT 2293 (2006)], Fonds de recherche sur la nature et les technologies du Québec (131894), Deutsche Forschungsgemeinschaft [SCHR1000/3-1, SCHR1000/6-1, 6-2 (FOR 1598), WO 670/7-1, WO 670/7-2, and SCHA 1719/1-2], CONACYT (FONDOS MIXTOS TABASCO/PROYECTO11316); NSF (DGE-0549245, DGE-0549245, DEB-BE-0909452, NSF1241932); Institute for Environmental Science and Policy at the University of Illinois at Chicago; Dean’s Scholar Program at UIC; Garden Club of America Zone VI Fellowship in Urban Forestry from the Casey Tree Endowment Fund; J. E. Weaver Competitive Grant from the Nebraska Chapter of The Nature Conservancy; the College of Liberal Arts and Sciences at DePaul University; Elmore Hadley Award for Research in Ecology and Evolution from the UIC Dept. of Biological Sciences; Spanish CICYT (AMB96-1161; REN2000-0783/GLO; REN2003-05553/GLO; REN2003-03989/GLO; CGL2007-60661/BOS); Yokohama National University; MEXT KAKENHI (25220104); Japan Society for the Promotion of Science KAKENHI (25281053, 17KT0074, 25252026); ADEME (0775C0035); Ministry of Science, Innovation and Universities of Spain (CGL2017-86926-P); Syngenta Philippines; UPSTREAM; LTSER (Val Mazia/Matschertal); Marie Sklodowska Curie Postdoctoral Fellowship (747607); National Science and Technology Base Resource Survey Project of China (2018FY100306); McKnight Foundation (14-168); Program of Fundamental Researches of Presidium of Russian Academy of Sciences (AAAA-A18-118021490070-5); Brazilian National Council of Research CNPq; and French Ministry of Foreign and European Affairs. Author contributions: H.R.P.P. led the analysis, data curation, and writing of the original manuscript draft. C.A.G. assisted in analyses and writing of the original manuscript draft. E.K.C. and N.E. revised subsequent manuscript drafts. J.v.d.H., D.R., and T.W.C. provided additional analyses. E.K.C., N.E., and M.P.T. acquired funding for the project. J.K., K.B.G., B.S., M.L.C.B., M.J.I.B., and G.B. contributed to data curation. H.R.P.P., C.A.G., M.L.C.B., M.J.I.B., G.B., O.F., A.O., E.M.B., J.B., U.B., T.D., F.T.d.V., B.K.-R., M.L., J.M., C.M., W.H.v.d.P., K.S.R., M.C.R., D.R., M.R., M.P.T., D.H.W., D.A.W., E.K.C., and N.E. contributed to the project conceptualization. All authors reviewed and edited the final draft manuscript. The majority of the authors provided data for the analyses. Competing interests: The authors declare no competing interests. Data and materials availability: Data and analysis code are available on the iDiv Data repository (DOI: 10.25829/idiv.1804-5-2593) and GitHub (https://github.com/helenphillips/GlobalEWDiversity; DOI: 10.5281/zenodo.3386456).
Published: 2019
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27. The relationship between koi herpesvirus disease resistance and other production traits inferred from sibling performance in amur mirror carp

Author: Jinfeng Zhao, Martin Prchal, Christos Palaiokostas, Houston, Ross D., Antti Kause, Marc Vandeputte, Alain Vergnet, Jérôme Bugeon, Anastasia Bestin, Tomáš Veselý, Dagmar Pokorova, Veronika Piačková, Lubomír Pojezdal, Lucie Genestout, Kroupová, Hana K., Martin Kocour, Faculty of Fisheries and Protection of Waters [University of South Bohemia], University of South Bohemia, Swedish University of Agricultural Sciences (SLU), The Roslin Institute and Royal (Dick) - School of Veterinary Studies, University of Edinburgh, Biometrical Genetics, Natural Resources Institute Finland, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Syndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), Veterinary Research Institute, Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), Institut National de la Recherche Agronomique (INRA), Project of NAAR (NAZV) of the Czech Republic no. QK1910430, and projects Biodiversity (CZ.02.1.01/0.0/0.0/16_ 025/0007370) and PROFISH (CZ.02.1.01/0.0/0.0/16_019/0000869) both under the Ministry of Education, Youth and Sports of the Czech Republic, European Aquaculture Society (EAS). BEL., European Project: 613611,EC:FP7:KBBE,FP7-KBBE-2013-7-single-stage,FISHBOOST(2014), Natural Resources Institute Finland (LUKE), Faculty of Fisheries and Protection of Waters, CENAKVA, AgroParisTech-Institut National de la Recherche Agronomique (INRA), INRA Laboratoire de Physiologie et Génomique des Poissons, and Syndicats des sélectionneurs avicoles et aquacoles français (SYSAAF)
Subjects: fish, résistance aux maladies, carp, maladie des poissons, [SDV]Life Sciences [q-bio], virus de l'herpes, carpe, reproduction, resistance to diseases, poisson, cyprinidae, sélection, sense organs, génétique de la résistance
Abstract: The relationship between koi herpesvirus disease resistance and other production traits inferred from sibling performance in amur mirror carp. Aquaculture Europe 2019
Published: 2019

28. Author Correction: Genome sequencing and population genomic analyses provide insights into the adaptive landscape of silver birch

Author: Balamuralikrishna Jayaprakash, Kurt V. Fagerstedt, Jorma Vahala, Saijaliisa Kangasjärvi, Courtney A. Hollender, Moona Rahikainen, Peter J. Gollan, Tiina Blomster, Ville Pennanen, Alexey Shapiguzov, Matti Rousi, Adrien Gauthier, Sirpa Kärenlampi, Raili Ruonala, Timo Sipilä, Mikael Brosché, Leila Kauppinen, Juan de Dios Barajas-López, Tuula Puhakainen, Kirk Overmyer, Airi Lamminmäki, Omid Safronov, Ari Pekka Mähönen, Kean-Jin Lim, Annikki Welling, Ykä Helariutta, Martin Lascoux, Colin T. Kelleher, Ali Amiryousefi, Katriina Mouhu, Fred O. Asiegbu, Johanna Leppälä, Ülo Niinemets, Pezhman Safdari, Pauliina Halimaa, Sari Kontunen-Soppela, Gugan Eswaran, Pekka Heino, Juan Antonio Alonso Serra, Fuqiang Cui, Juha Mikola, Jarkko Salojärvi, Lidia Vetchinnikova, Sacha Escamez, Hiroaki Fujii, Daniel Blande, Juha Immanen, Péter Poczai, Viivi Ahonen, Alan H. Schulman, Pasi Rastas, Chris Dardick, Matleena Punkkinen, Kristiina Himanen, Jaakko Tanskanen, Christiaan van der Schoot, Sanna Ehonen, Elina Oksanen, Anna Kärkönen, Victor A. Albert, Suvi Sutela, Olli-Pekka Smolander, Lee Macpherson, Michael Wrzaczek, E. Tapio Palva, Maija Sierla, Boy J.H.M. Possen, Juhana Kammonen, Sitaram Rajaraman, Paula Elomaa, Tianying Lan, Enjun Xu, Olga Blokhina, Suvi K. Broholm, Kaisa Nieminen, J. Patrik Koskinen, Jaakko Kangasjärvi, Risto Hagqvist, Lars Paulin, Arja Tervahauta, Aleksia Vaattovaara, Andriy Kovalchuk, Leila Pazouki, Petri Auvinen, Teemu H. Teeri, Department of Plant Molecular Biology, Université de Lausanne (UNIL), SUNY Buffalo, Dept Biol Sci, Buffalo, NY 14260 USA, Université Paris Diderot - Paris 7 (UPD7), Department of Zoology [Cambridge], University of Cambridge [UK] (CAM), Ecophysiologie Végétale, Agronomie et Nutritions (EVA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Recherche Agronomique (INRA), Division of Plant Physiology, University of Helsinki, Plante - microbe - environnement : biochimie, biologie cellulaire et écologie (PMEBBCE), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Molecular Plant Biology, University of Turku, University of Turku, University of Eastern Finland, Department of Forest Sciences [Helsinki], Faculty of Agriculture and Forestry [Helsinki], University of Helsinki-University of Helsinki, Estonian University of Life Sciences, Viikki Plant Science Centre (ViPS), Faculty of Biological and Environmental Sciences [Helsinki], Natural Resources Institute Finland, University of Oulu, Department of Ecology and Genetics [Uppsala] (EBC), Uppsala University, Department of Biological Sciences [Buffalo], University at Buffalo [SUNY] (SUNY Buffalo), State University of New York (SUNY)-State University of New York (SUNY), Institut National de la Recherche Agronomique (INRA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD), Estonian University of Life Sciences (EMU), and Natural resources institute Finland
Subjects: Mutation rate, Fitness landscape, Population, Adaptation, Biological, Mistake, Computational biology, Biology, Polymorphism, Single Nucleotide, DNA sequencing, Interpretation (model theory), [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, 03 medical and health sciences, 0302 clinical medicine, Gene Duplication, Genetics, Author Correction, education, Betula, Finland, Phylogeny, ComputingMilieux_MISCELLANEOUS, Plant Proteins, 030304 developmental biology, Population Density, 0303 health sciences, education.field_of_study, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], Notice, Published Erratum, Genetics, Population, Genome, Plant, 030217 neurology & neurosurgery
Abstract: Silver birch (Betula pendula) is a pioneer boreal tree that can be induced to flower within 1 year. Its rapid life cycle, small (440-Mb) genome, and advanced germplasm resources make birch an attractive model for forest biotechnology. We assembled and chromosomally anchored the nuclear genome of an inbred B. pendula individual. Gene duplicates from the paleohexaploid event were enriched for transcriptional regulation, whereas tandem duplicates were overrepresented by environmental responses. Population resequencing of 80 individuals showed effective population size crashes at major points of climatic upheaval. Selective sweeps were enriched among polyploid duplicates encoding key developmental and physiological triggering functions, suggesting that local adaptation has tuned the timing of and cross-talk between fundamental plant processes. Variation around the tightly-linked light response genes PHYC and FRS10 correlated with latitude and longitude and temperature, and with precipitation for PHYC. Similar associations characterized the growth-promoting cytokinin response regulator ARR1, and the wood development genes KAK and MED5A.
Published: 2019
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29. The impacts of price variations on the sustainability of seafood consumption

Author: Lucas, Sterenn, Soler, Louis Georges, Irz, Xavier, Aubin, Joel, Gascuel, Didier, Cloatre, Thomas, Structures et Marché Agricoles, Ressources et Territoires (SMART-LERECO), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Alimentation et sciences sociales (ALISS), Institut National de la Recherche Agronomique (INRA), Natural resources institute Finland, Sol Agro et hydrosystème Spatialisation (SAS), Écologie et santé des écosystèmes (ESE), European Association of Fisheries Economists (EAFE). FRA., European Project: 635761,H2020,H2020-BG-2014-2,PrimeFish(2015), Structures et Marché Agricoles, Ressources et Territoires (SMART), Natural Resources Institute Finland, and Natural Resources Institute Finland (LUKE)
Subjects: consommation durable, elasticité prix, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, produits de la mer et de l'aquaculture
Abstract: Concerns over the environmental impact of seafood consumption are rising among consumers and public authorities. Previous research has established the lower impact of seafood-based diets compared to meat-based diets, but little is known about the impact of substitutions within the seafood category. Thus, we merged consumption data for species with environmental indicators of fisheries: primary production required (PPR), maximum length (ML), process (farmed; type of gear) and origin (France, EU, outside EU). Elasticities of demand for seafood in France were estimated and used to calibrate a model of adjustment in seafood consumption to variations in price or expenditure. We simulate four scenarios: an increase in seafood expenditure, and increases in the prices of salmon and small pelagic (SP), and decrease in the price of monkfish. A decrease in PPR, ML, percentage of towed and percentage of import improves fisheries sustainability. Higher seafood expenditure raises the average PPR as well as the average ML, and affects positively the share of fish consumption originating from France and the EU. An increase in price, for salmon and SP, decreases the average PPR and has no impact on the consumption share of aquaculture. Average ML decreases from rises in salmon price, but increases when the price of SP increases or the price of monkfish decreases. The percentage of fish from towed gears increases with salmon prices (coupled with an increase in the share of bottom-towed) but decreases with the price of SP (despite an increase in the share of bottom-towed). With regard to origin, higher salmon prices play in favor of seafood from France, while it is production from outside EU that benefits when the price of SP increases. Monkfish prices variation does not affect origin of seafood. This preliminary work focuses on indicators for fisheries but will be extended to include other indicators.
Published: 2019

30. Early-Warning Signals of Individual Tree Mortality Based on Annual Radial Growth

Author: Cailleret, Maxime, Dakos, Vasilis, Jansen, Steven, Robert, Elisabeth, Aakala, Tuomas, Amoroso, Mariano, Antos, Joe, Bigler, Christof, Bugmann, Harald, Caccianaga, Marco, Camarero, Jesus-Julio, Cherubini, Paolo, Coyea, Marie, Das, Adrian, Davi, Hendrik, Gea-Izquierdo, Guillermo, Gillner, Sten, Haavik, Laurel, Hartmann, Henrik, Hereş, Ana-Maria, Hultine, Kevin, Janda, Pavel, Kane, Jeffrey, Kharuk, Viachelsav, Kitzberger, Thomas, Klein, Tamir, Levanic, Tom, Linares, Juan-Carlos, Lombardi, Fabio, Mäkinen, Harri, Meszaros, Ilona, Metsaranta, Juha, Oberhuber, Walter, Papadopoulos, Andreas, Petritan, Any Mary, Rohner, Brigitte, Sanguesa-Barreda, Gabriel, Smith, Jeremy, Stan, Amanda, Stojanovic, Dejan, Suarez, Maria-Laura, Svoboda, Miroslav, Trotsiuk, Volodymyr, Villalba, Ricardo, Westwood, Alana, Wyckoff, Peter, Martinez-Vilalta, Jordi, Dakos, Vasilis, Institut des cellules souches pour le traitement et l'étude des maladies monogéniques (I-STEM), Université d'Évry-Val-d'Essonne (UEVE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Généthon, Institut des Sciences de l'Evolution de Montpellier (UMR ISEM), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Institut de recherche pour le développement [IRD] : UR226-Centre National de la Recherche Scientifique (CNRS), Institute for Systematic Botany and Ecology, Universität Ulm - Ulm University [Ulm, Allemagne], Centre méditérannéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Institute of Terrestrial Ecosystems (ITES), Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Unité de Recherches Forestières Méditerranéennes (URFM), Institut National de la Recherche Agronomique (INRA), Centre européen de recherche et d'enseignement des géosciences de l'environnement (CEREGE), Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Aix Marseille Université (AMU)-Collège de France (CdF (institution))-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institute of Forest Botany and Forest Zoology, Max-Planck-Institut für Biogeochemie (MPI-BGC), Czech University of Life Science, Universidad Nacional del Comahue [Neuquén] (UNCOMA), Agricultural Research Organization, Slovenian Forestry Institute, Dipartimento AGR, Università degli Studi Mediterranea di Reggio Calabria, Natural Resources Institute Finland (LUKE), University of Debrecen, Leopold Franzens Univ Innsbruck, Inst Bot, Innsbruck, Austria, Université Paris Diderot - Paris 7 (UPD7), Department of Forestry and Natural Environment Management, Technological Education Institute of Lamia, Institute of Terretrial Ecosystems, Instituto Pirenaico de Ecologia = Pyrenean Institute of Ecology (IPE), University of Novi Sad, Instituto Argentino de Nivología, Glaciología y Ciencias Ambientales [Mendoza] (CONICET-IANIGLA), Consejo Nacional de Investigaciones Científicas y Técnicas [Buenos Aires] (CONICET)-Universidad Nacional de Cuyo [Mendoza] (UNCUYO), Ecolog Unit, Universitat Autònoma de Barcelona (UAB), FP1106, P4-0015, NKFI-SNN-125652, PN-III-P1-1.1-TE-2016-1508, FJCI 2016-30121, III 43007, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-École Pratique des Hautes Études (EPHE), Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology [Zaragoza] (IPE - CSIC), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de recherche pour le développement [IRD] : UR226, Université Nice Sophia Antipolis (... - 2019) (UNS), University of Helsinki, Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Collège de France (CdF (institution))-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA), Natural resources institute Finland, Instituto Pirenaico de Ecologia (IPE), and Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)
Subjects: [SDE] Environmental Sciences, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, forest, growth, [SDE]Environmental Sciences, tree mortality, drought, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, biotic agents, variance, resilience indicators, ring-width
Abstract: International audience; Tree mortality is a key driver of forest dynamics and its occurrence is projected to increase in the future due to climate change. Despite recent advances in our understanding of the physiological mechanisms leading to death, we still lack robust indicators of mortality risk that could be applied at the individual tree scale. Here, we build on a previous contribution exploring the differences in growth level between trees that died and survived a given mortality event to assess whether changes in temporal autocorrelation, variance, and synchrony in time-series of annual radial growth data can be used as early warning signals of mortality risk. Taking advantage of a unique global ring-width database of 3065 dead trees and 4389 living trees growing together at 198 sites (belonging to 36 gymnosperm and angiosperm species), we analyzed temporal changes in autocorrelation, variance, and synchrony before tree death (diachronic analysis), and also compared these metrics between trees that died and trees that survived a given mortality event (synchronic analysis). Changes in autocorrelation were a poor indicator of mortality risk. However, we found a gradual increase in inter- annual growth variability and a decrease in growth synchrony in the last similar to 20 years before mortality of gymnosperms, irrespective of the cause of mortality. These changes could be associated with drought-induced alterations in carbon economy and allocation patterns. In angiosperms, we did not find any consistent changes in any metric. Such lack of any signal might be explained by the relatively high capacity of angiosperms to recover after a stress-induced growth decline. Our analysis provides a robust method for estimating early-warning signals of tree mortality based on annual growth data. In addition to the frequently reported decrease in growth rates, an increase in inter-annual growth variability and a decrease in growth synchrony may be powerful predictors of gymnosperm mortality risk, but not necessarily so for angiosperms.
Published: 2019
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31. Invited review: Nitrogen in ruminant nutrition: A review of measurement techniques

Author: Michael Kreuzer, David R. Yáñez-Ruiz, Angela Schwarm, Pierre Noziere, Alexander N. Hristov, Ali R. Bayat, Jan Dijkstra, Pekka Huhtanen, Mark McGee, André Bannink, Ermias Kebreab, K. J. Shingfield, Christopher K. Reynolds, Zhongtang Yu, Les A. Crompton, Department of Animal Science, Pennsylvania State University (Penn State), Penn State System-Penn State System, Wageningen Livestock Research, Wageningen University and Research [Wageningen] (WUR), University of Reading (UOR), Department of Agricultural Science, University of Naples Federico II, Institute of Agricultural Sciences, Ecole Polytechnique Fédérale de Zurich, Teagasc Agriculture and Food Development Authority (Teagasc), Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Natural Resources Institute Finland (LUKE), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Animal Nutrition Group, University of California, Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Department of Animal Sciences, University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, United States Department of Agriculture (USDA) 2014-67003-21979 NH00616-R, Department of Animal Science and College of Agricultural Sciences, The Pennsylvania State University, Swiss Federal Office of Agriculture, INIA (Spain) MIT01-GLOBALNET-EEZ, Natural Resources Institute Finland (Luke), Ministry of Agriculture, Nature and Food Quality (the Netherlands), GRA project BO-43-003.02.004, Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Natural Resources Institute Finland, Ministry of Agriculture, Nature and Food Quality (The Netherlands), CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), National Institute of Food and Agriculture (US), Pennsylvania State University, Federal Office for Agriculture (Switzerland), USDA National Institute of Food and Agriculture, Swiss Federal Office of Agriculture, Ministry of Agriculture, Nature and Food Quality, The Netherlands, INIA, 2014-67003-21979, NH00616-R, MIT01-GLOBALNET-EEZ, and BO-43-003.02.004
Subjects: Nitrogen balance, Animal Nutrition, [SDV]Life Sciences [q-bio], Context (language use), Biology, nitrogen, [SHS]Humanities and Social Sciences, 03 medical and health sciences, Rumen, Nutrient, Animal science, Ruminant, Genetics, Animals, [INFO]Computer Science [cs], Animal nutrition, Animal Husbandry, 030304 developmental biology, 2. Zero hunger, chemistry.chemical_classification, 0303 health sciences, Animal Nutrition Sciences, ruminant animal, 0402 animal and dairy science, 04 agricultural and veterinary sciences, Ruminants, technique, biology.organism_classification, 040201 dairy & animal science, Manure, Animal Feed, Diervoeding, 6. Clean water, chemistry, 13. Climate action, manure, WIAS, Animal Science and Zoology, Animal Nutritional Physiological Phenomena, Essential nutrient, environment, metabolism, Food Science
Abstract: Nitrogen is a component of essential nutrients critical for the productivity of ruminants. If excreted in excess, N is also an important environmental pollutant contributing to acid deposition, eutrophication, human respiratory problems, and climate change. The complex microbial metabolic activity in the rumen and the effect on subsequent processes in the intestines and body tissues make the study of N metabolism in ruminants challenging compared with nonruminants. Therefore, using accurate and precise measurement techniques is imperative for obtaining reliable experimental results on N utilization by ruminants and evaluating the environmental impacts of N emission mitigation techniques. Changeover design experiments are as suitable as continuous ones for studying protein metabolism in ruminant animals, except when changes in body weight or carryover effects due to treatment are expected. Adaptation following a dietary change should be allowed for at least 2 (preferably 3) wk, and extended adaptation periods may be required if body pools can temporarily supply the nutrients studied. Dietary protein degradability in the rumen and intestines are feed characteristics determining the primary AA available to the host animal. They can be estimated using in situ, in vitro, or in vivo techniques with each having inherent advantages and disadvantages. Accurate, precise, and inexpensive laboratory assays for feed protein availability are still needed. Techniques used for direct determination of rumen microbial protein synthesis are laborious and expensive, and data variability can be unacceptably large; indirect approaches have not shown the level of accuracy required for widespread adoption. Techniques for studying postruminal digestion and absorption of nitrogenous compounds, urea recycling, and mammary AA metabolism are also laborious, expensive (especially the methods that use isotopes), and results can be variable, especially the methods based on measurements of digesta or blood flow. Volatile loss of N from feces and particularly urine can be substantial during collection, processing, and analysis of excreta, compromising the accuracy of measurements of total-tract N digestion and body N balance. In studying ruminant N metabolism, nutritionists should consider the longer term fate of manure N as well. Various techniques used to determine the effects of animal nutrition on total N, ammonia- or nitrous oxide-emitting potentials, as well as plant fertilizer value, of manure are available. Overall, methods to study ruminant N metabolism have been developed over 150 yr of animal nutrition research, but many of them are laborious and impractical for application on a large number of animals. The increasing environmental concerns associated with livestock production systems necessitate more accurate and reliable methods to determine manure N emissions in the context of feed composition and ruminant N metabolism., The authors acknowledge support for preparation of this manuscript by the USDA National Institute of Food and Agriculture, grant/award number: 2014-67003-21979, NH00616-R, the Department of Animal Science and College of Agricultural Sciences, The Pennsylvania State University; the Swiss Federal Office of Agriculture, INIA (Spain, project MIT01-GLOBALNETEEZ); Natural Resources Institute Finland (Luke); and Ministry of Agriculture, Nature and Food Quality (the Netherlands), GRA project BO-43-003.02.004
Published: 2019
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32. Promoting climate-friendly diets:What should we tell consumers in Denmark, Finland and France?

Author: Louis-Georges Soler, Xavier Irz, Vincent Réquillart, Pascal Leroy, Jørgen Dejgård Jensen, Natural Resources Institute Finland, University of Copenhagen = Københavns Universitet (KU), Alimentation et sciences sociales (ALISS), Institut National de la Recherche Agronomique (INRA), Toulouse School of Economics (TSE), École des hautes études en sciences sociales (EHESS)-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse 1 Capitole (UT1), Natural resources institute Finland, Université Toulouse 1 Capitole (UT1), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-École des hautes études en sciences sociales (EHESS)-Centre National de la Recherche Scientifique (CNRS)
Subjects: medicine.medical_specialty, 010504 meteorology & atmospheric sciences, Geography, Planning and Development, healthy, 010501 environmental sciences, Management, Monitoring, Policy and Law, 01 natural sciences, Agricultural economics, 11. Sustainability, Food choice, medicine, Faculty of Science, Climate, Greenhouse gas emissions, Healthy, Diet, Sustainability, Food choices, B- ECONOMIE ET FINANCE, climate, 0105 earth and related environmental sciences, 2. Zero hunger, Consumption (economics), greenhouse gas emissions, Public health, sustainability, [SHS.ECO]Humanities and Social Sciences/Economics and Finance, Social marketing, food choices, 13. Climate action, Greenhouse gas, Red meat, Business, Climate footprint, diet
Abstract: We investigate ex-ante the effects of promoting simple climate-friendly diet recommendations in Denmark, Finland and France, with the objective of identifying cost-beneficial recommendations that lower greenhouse gas emissions and improve public health. The simulation approach combines a behavioural model of consumption adjustment to dietary constraints, a model of climate impact based on the life-cycle analysis of foods, and an epidemiological model calculating health outcomes. The five recommendations considered in the analysis focus on consumption of fruits and vegetables, red meat, all meat and all animal products, as well as the greenhouse gas emissions arising from the diet. The results show that trade-offs between climate and health objectives occur for some recommendations in all countries, and that substitutions may result in unintended effects. However, in all countries, we identify some recommendations that would raise sustainability in both its climate and health dimensions, while delivering value for money and increasing social welfare. In particular, promoting consumption of fruits and vegetables through campaigns of the “five-a-day” type is found to be cost-beneficial in all three countries. By contrast, targeting consumption of meat, consumption of all animal products, or the climate footprint of diets directly through social marketing campaigns is only found to be desirable in some country-specific contexts. We investigate ex-ante the effects of promoting simple climate-friendly diet recommendations in Denmark, Finland and France, with the objective of identifying cost-beneficial recommendations that lower greenhouse gas emissions and improve public health. The simulation approach combines a behavioural model of consumption adjustment to dietary constraints, a model of climate impact based on the life-cycle analysis of foods, and an epidemiological model calculating health outcomes. The five recommendations considered in the analysis focus on consumption of fruits and vegetables, red meat, all meat and all animal products, as well as the greenhouse gas emissions arising from the diet. The results show that trade-offs between climate and health objectives occur for some recommendations in all countries, and that substitutions may result in unintended effects. However, in all countries, we identify some recommendations that would raise sustainability in both its climate and health dimensions, while delivering value for money and increasing social welfare. In particular, promoting consumption of fruits and vegetables through campaigns of the “five-a-day” type is found to be cost-beneficial in all three countries. By contrast, targeting consumption of meat, consumption of all animal products, or the climate footprint of diets directly through social marketing campaigns is only found to be desirable in some country-specific contexts.
Published: 2019
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33. Morphological predictors of slaughter yields using 3D digitizer and their use in a common carp breeding program

Author: Marc Vandeputte, Jinfeng Zhao, Alain Vergnet, Martin Prchal, Anastasia Bestin, Jérôme Bugeon, Antti Kause, David Gela, Martin Kocour, Pierrick Haffray, Lucie Genestout, Vojtěch Kašpar, Faculty of Fisheries and Protection of Waters [University of South Bohemia], University of South Bohemia, Génétique Animale et Biologie Intégrative (GABI), Université Paris-Saclay-AgroParisTech-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Biometrical Genetics, Natural Resources Institute Finland, Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Syndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), European CommissionKBBE.2013.1.2 10Ministry of Education, Youth & Sports - Czech RepublicLM2018099CZ.02.1.01/0.0/0.0/16_025/0007370Grant Agency of the University of South Bohemia in Ceske Budejovice097/2019/ZMinistry of Agriculture - project of the Czech NAAR (NAZV)QK1910430, European Project: 613611,EC:FP7:KBBE,FP7-KBBE-2013-7-single-stage,FISHBOOST(2014), AgroParisTech-Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Natural Resources Institute Finland (LUKE)
Subjects: fillet yields, Breeding program, [SDV]Life Sciences [q-bio], 3D predictors, Aquatic Science, Fillet yields, 03 medical and health sciences, Common carp, Animal science, bredding program, Linear regression, genetic parameters, Indirect selection, [INFO]Computer Science [cs], Carp, Fillet (mechanics), 030304 developmental biology, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0303 health sciences, biology, 04 agricultural and veterinary sciences, Factorial experiment, Genetic parameters, biology.organism_classification, Fish products, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, indirect selection, Genetic gain, 040102 fisheries, 0401 agriculture, forestry, and fisheries
Abstract: International audience; Slaughter yields are traits of high interest especially for fish species sold in processed form like headless carcass or fillets, as well as with regard to increasing consumer preference for easy-to-prepare fish products. However, slaughter yields cannot be measured on live fish and thus their genetic improvement through mass selection is impossible. The usual alternatives are sib selection and/or indirect selection on correlated traits or morphological predictors of slaughter yields. In the present study, we assessed the possibility of using a combination of 3D digitized landmarks and ultrasound measurements in genetic improvement of slaughter yields in common carp. DNA – pedigreed market-size carp (n = 1553 fish) were produced from a partial factorial design of 20 dams and 40 sires. Morphological predictors were recorded in real-time using a 3D digitizer and ultrasound tomography, and combined by multiple linear regression to predict slaughter yields. The 3D model-predicted headless carcass and fillet yields explained 59% and 50%, respectively, of the total phenotypic variation in slaughter yields. Genetic parameters of model-predicted yields and of the best individual predictor (3D_P2 – ratio between abdominal fillet thickness – E8 and external 3D ventral height) were similar or slightly lower when compared to previous 2D-based predictors (Prchal et al., 2018a, 2018b, 2018c). This was also the case for the expected genetic gain using indirect selection on the same simple predictor for fillet yield improvement (0.48% fillet units for 3D vs. 0.52% for 2D). 3D model-predicted yields and especially simple predictors thus have a solid potential for genetic improvement of slaughter yields in common carp. While they are not better than 2D predictors, they are much more convenient and faster to collect in the field, as they do not imply post-processing of images. These practical aspects should be taken into account in the future carp breeding program.
Published: 2020
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34. Addressing global ruminant agricultural challenges through understanding the rumen microbiome: Past, present and future

Author: Huws, Sharon A., Creevey, Christopher J., Oyama, Linda B., Mizrahi, Itzhak, Denman, Stuart E., Popova, Milka, Muñoz-Tamayo, Rafael, Forano, Evelyne, Waters, Sinead M., Hess, Matthias, Tapio, Ilma, Smidt, Hauke, Krizsan, Sophie J., Yáñez-Ruiz, David R., Belanche, Alejandro, Guan, Leluo, Gruninger, Robert J., McAllister, Tim A., Newbold, C.J., Roehe, Rainer, Dewhurst, Richard J., Snelling, Tim J., Watson, Mick, Suen, Garret, Hart, Elizabeth H., Kingston-Smith, Alison H., Scollan, Nigel D., Do Prado, Rodolpho M., Pilau, Eduardo J., Mantovani, Hilario C., Attwood, Graeme T., Edwards, Joan E., McEwan, Neil R., Morrisson, Steven, Mayorga, Olga L., Elliott, Christopher, Morgavi, Diego P., European Commission, Ministerio de Economía y Competitividad (España), Biotechnology and Biological Sciences Research Council (UK), Institute for Global Food Security [Belfast], Queen's University [Belfast] (QUB), Department of Life Sciences and The National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev (BGU), Commonwealth Scientific and Industrial Research Organisation Agriculture and Food, Queensland Bioscience Precinct, Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Modélisation Systémique Appliquée aux Ruminants (MoSAR), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Microbiologie Environnement Digestif Santé - Clermont Auvergne (MEDIS), Université Clermont Auvergne (UCA)-INRA Clermont-Ferrand-Theix, Animal and Grassland Research and Innovation Centre (AGRICE), College of Agricultural and Environmental Sciences, University of California [Davis] (UC Davis), University of California-University of California, Natural Resources Institute Finland (LUKE), Department of Agrotechnology and Food Sciences [Wageningen], Wageningen University and Research [Wageningen] (WUR), Department of Agricultural Research for Northern Sweden, Swedish University of Agricultural Sciences (SLU), Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Department of Agricultural, Food and Nutritional Science, University of Alberta, Lethbridge Research Centre, Agriculture and Agri-Food Canada, Scotland's Rural College (SRUC), The Rowett Institute, University of Aberdeen, The Roslin Institute and the Royal (Dick) School of Veterinary Studies (R(D)SVS), University of Edinburgh, Departments of Botany and Bacteriology, University of Wisconsin-Madison, Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Laboratório de Biomoléculas e Espectrometria de Massas-Labiomass, Departamento de Química, Universidade Estadual de Maringá, Universidade Federal de Viçosa (UFC), AgResearch Limited, School of Pharmacy and Life Sciences, Robert Gordon University (RGU), Sustainable Livestock, Agri-Food and Bio-Sciences Institute, Agri-Food and Biosciences Institute, Colombian Agricultural Research Corporation, European Project: 640384 ,RuMicroPlas, European Project: 706899,EQUIANFUN, Institute for Global Food Security, Department of Life Sciences and the National Institute for Biotechnology in the Negev, VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), INRA Clermont-Ferrand-Theix-Université Clermont Auvergne (UCA), Animal and Bioscience Research Department, Irish Agriculture and Food Development Authority, Natural Resources Institute Finland, Department of Agrotechnology and Food Sciences, Wageningen University and Research Centre [Wageningen] (WUR), Estacion Experimental del Zaidin, Spanish National Research Council (CSIC), Lethbridge Research and Development Centre, Agriculture and Agri-Food [Ottawa] (AAFC), Scotland's Rural College (SCUR), Department of Microbiology, Nippon Dental University, Grasslands Research Centre, Laboratory of Microbiology, Northern Regional Institution of Hungarian National Public Health and Medical Officer Service, Robert Gordon University, Sustainable Livestock, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Microbiologie Environnement Digestif Santé (MEDIS), INRA Clermont-Ferrand-Theix-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Estación Experimental del Zaidín (EEZ), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), EU H2020 Marie Curie Fellowship 706899, European Project: 640384,H2020,ERC-2014-STG,RuMicroPlas(2016), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), University of California (UC)-University of California (UC), Agriculture and Agri-Food (AAFC), and Biotechnology and Biological Sciences Research Council (BBSRC)-Aberystwyth University
Subjects: Microbiology (medical), animal structures, Rumen, Environmental Science and Management, alimentation animale, [SDV]Life Sciences [q-bio], lcsh:QR1-502, microbiome, Omics, ruminant, Review, Microbiology, lcsh:Microbiology, modèle mathématique, Microbiologie, Genetics, VLAG, métagénomique, metagenomics, rumen, WIMEK, methane, Host, Human Genome, host, diet, production, omics, Production, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Diet, [SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology, Soil Sciences, biomarker, Zero Hunger, animal feeding, Microbiome, biomarqueur, Methane, mathematical model
Abstract: The rumen is a complex ecosystem composed of anaerobic bacteria, protozoa, fungi, methanogenic archaea and phages. These microbes interact closely to breakdown plant material that cannot be digested by humans, whilst providing metabolic energy to the host and, in the case of archaea, producing methane. Consequently, ruminants produce meat and milk, which are rich in high-quality protein, vitamins and minerals, and therefore contribute to food security. As the world population is predicted to reach approximately 9.7 billion by 2050, an increase in ruminant production to satisfy global protein demand is necessary, despite limited land availability, and whilst ensuring environmental impact is minimized. Although challenging, these goals can be met, but depend on our understanding of the rumen microbiome. Attempts to manipulate the rumen microbiome to benefit global agricultural challenges have been ongoing for decades with limited success, mostly due to the lack of a detailed understanding of this microbiome and our limited ability to culture most of these microbes outside the rumen. The potential to manipulate the rumen microbiome and meet global livestock challenges through animal breeding and introduction of dietary interventions during early life have recently emerged as promising new technologies. Our inability to phenotype ruminants in a high-throughput manner has also hampered progress, although the recent increase in >omic> data may allow further development of mathematical models and rumen microbial gene biomarkers as proxies. Advances in computational tools, high-throughput sequencing technologies and cultivation-independent >omics> approaches continue to revolutionize our understanding of the rumen microbiome. This will ultimately provide the knowledge framework needed to solve current and future ruminant livestock challenges., SH, DM, MP, RM-T, SW, IT, HS, JE, SK, GA, and CC acknowledge the support of ERA-net gas co-fund for funding (Project name: RumenPredict). SH, HM and CC acknowledge support from BBSRC (BBL/L026716/1 and BBL/L026716/2) and a British Council Newton Institutional Links funding (Grant 172629373). IM acknowledges funding from the European Research Council under the European Union's Horizon 2020 research and innovation program (Grant 640384). JE acknowledges funding from an EU H2020 Marie Curie Fellowship (706899). CC, AK-S, and EH were supported by the Biotechnology and Biological Sciences Research Council (Grants BBS/OS/GC/000011B and BBS/E/W/0012843D). CN and OM acknowledge the support of the British Council Newton Institutional Links funding (Grant 216425215). SRUC receives financial support from the Scottish Government's Rural and Environment Science and Analytical Services Division (RESAS). RD and RR acknowledge financial support from the Biotechnology and Biological Sciences Research Council (BBSRC BB/N01720X/1). DY-R and AB acknowledge funding from MINECO, Spain (Grant AGL2017-86938-R). GS acknowledges funding from the U.S. Department of Agriculture National Institute of Food and Agriculture foundational (Grant 2015-67015-23246). EP acknowledges funding from CNPq (Grant 401590/2014-3). All authors are also members of the Global Research Alliance Rumen Microbial Genomics network.
Published: 2018
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35. Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change

Author: Miroslav Trnka, Paola A. Deligios, Alfredo Rodríguez, Pierre Stratonovitch, Françoise Ruget, Ingrid Jacquemin, Marco Moriondo, Louis François, Katharina Waha, Alessia Perego, Mikhail A. Semenov, Fulu Tao, Benjamin Dumont, Christoph Müller, Frank Ewert, Petr Hlavinka, Per Bodin, Margarita Ruiz-Ramos, Marie-France Destain, Lianhai Wu, Marco Acutis, Cezary Sławiński, Senthold Asseng, Nina Pirttioja, Piotr Baranowski, Marco Bindi, Manuel Montesino, Davide Cammarano, Taru Palosuo, M. Ines Minguez, Claas Nendel, Timothy R. Carter, Iwan Supit, Bruno Basso, Kurt Christian Kersebaum, Zhigan Zhao, Samuel Buis, Alex C. Ruane, Thomas Gaiser, Chris Kollas, Jaromir Krzyszczak, Roberto Ferrise, Ignacio J. Lorite, Julien Minet, Holger Hoffmann, Reimund P. Rötter, Enli Wang, Isik Öztürk, Stefan Fronzek, Mattia Sanna, Finnish Environment Institute (SYKE), Università degli Studi di Firenze = University of Florence (UniFI), Rheinische Friedrich-Wilhelms-Universität Bonn, Institut für Nutzpflanzenwissenschaften und Ressourcenschutz (INRES), Natural Resources Institute Finland (LUKE), Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales (CEIGRAM), Universidad Politécnica de Madrid (UPM), Institute of Agrosystems and Bioclimatology, Mendel University in Brno (MENDELU), Global Change Research Centre (CzechGlobe), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), University of Florida [Gainesville] (UF), Institute of Agrophysics, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Michigan State University [East Lansing], Michigan State University System, Lund University [Lund], Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), The James Hutton Institute, Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), Université de Liège, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Potsdam Institute for Climate Impact Research (PIK), Instituto Andaluz de Investigación y Formación Agraria y Pesquera (IFAPA), University of Copenhagen = Københavns Universitet (UCPH), Istituto di Biometeorologia [Firenze] (IBIMET), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Rothamsted Research, Biotechnology and Biological Sciences Research Council (BBSRC), Wageningen University and Research [Wageningen] (WUR), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), China Agricultural University (CAU), Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), Georg-August-University = Georg-August-Universität Göttingen, Centre for Biodiversity and Sustainable Land Use (CBL), cademy of Finland 277276 277403 292836, Finnish Ministry of Agriculture and Forestry (FACCE-MACSUR), Polish National Centre for Research and Development BIOSTRATEG1/271322/3/NCBR/2015, BIOSTRATEG2 298782, German Federal Ministry of Food and Agriculture through the Federal Office for Agriculture and Food 2851ERA01J, FACCE MACSUR 2812ERA 147, German Federal Ministry of Education and Research via the 'Limpopo Living Landscapes' project within the SPACES programme 01LL1304A, MACMIT project 01LN1317A, Italian Ministry of Agricultural Food and Forest Policies (AGROSCENARI Project), Italian Ministry of Education, University and Research (FIRB) RBFR12B2K4_004, European Project: 603416,EC:FP7:ENV,FP7-ENV-2013-two-stage,IMPRESSIONS(2013), University of Florence (UNIFI), Natural Resources Institute Finland, CEIGRAM-AgSystems, Mendel University in Brno, University of Florida [Gainesville], Polish Academy of Sciences, Lund University, University of Sassari, Andalusian Agricultural Research Institute (IFAPA), University of Copenhagen = Københavns Universitet (KU), Consiglio Nazionale delle Ricerche (CNR), Aarhus University Hospital, Wageningen University and Research Center (WUR), China Agricultural University, Georg-August-Universität Göttingen, Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Natural resources institute Finland, and Georg-August-University [Göttingen]
Subjects: Spatial correlation, ble tendre, 010504 meteorology & atmospheric sciences, modèle multivariable, influence de la température, Water en Voedsel, 01 natural sciences, modèle de culture, Statistics, Range (statistics), Climate change, Crop model, Mathematics, 2. Zero hunger, changement climatique, Mathematical model, Agricultura, 04 agricultural and veterinary sciences, ta4111, Classification, classification des sols, winter wheat, soft wheat, Wheat, rendement agricole, Sensitivity analysis, Meteorology, [SDE.MCG]Environmental Sciences/Global Changes, ta1171, Precipitation, global change, 0105 earth and related environmental sciences, WIMEK, Water and Food, triticum, Simulation modeling, simulation de croissance, 15. Life on land, Hierarchical clustering, Euclidean distance, 13. Climate action, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Animal Science and Zoology, Water Systems and Global Change, soil taxonomy, Agronomy and Crop Science, Ensemble, analyse de sensibilité
Abstract: Crop growth simulation models can differ greatly in their treatment of key processes and hence in their response to environmental conditions. Here, we used an ensemble of 26 process-based wheat models applied at sites across a European transect to compare their sensitivity to changes in temperature (−2 to +9°C) and precipitation (−50 to +50%). Model results were analysed by plotting them as impact response surfaces (IRSs), classifying the IRS patterns of individual model simulations, describing these classes and analysing factors that may explain the major differences in model responses. The model ensemble was used to simulate yields of winter and spring wheat at four sites in Finland, Germany and Spain. Results were plotted as IRSs that show changes in yields relative to the baseline with respect to temperature and precipitation. IRSs of 30-year means and selected extreme years were classified using two approaches describing their pattern. The expert diagnostic approach (EDA) combines two aspects of IRS patterns: location of the maximum yield (nine classes) and strength of the yield response with respect to climate (four classes), resulting in a total of 36 combined classes defined using criteria pre-specified by experts. The statistical diagnostic approach (SDA) groups IRSs by comparing their pattern and magnitude, without attempting to interpret these features. It applies a hierarchical clustering method, grouping response patterns using a distance metric that combines the spatial correlation and Euclidian distance between IRS pairs. The two approaches were used to investigate whether different patterns of yield response could be related to different properties of the crop models, specifically their genealogy, calibration and process description. Although no single model property across a large model ensemble was found to explain the integrated yield response to temperature and precipitation perturbations, the application of the EDA and SDA approaches revealed their capability to distinguish: (i) stronger yield responses to precipitation for winter wheat than spring wheat; (ii) differing strengths of response to climate changes for years with anomalous weather conditions compared to period-average conditions; (iii) the influence of site conditions on yield patterns; (iv) similarities in IRS patterns among models with related genealogy; (v) similarities in IRS patterns for models with simpler process descriptions of root growth and water uptake compared to those with more complex descriptions; and (vi) a closer correspondence of IRS patterns in models using partitioning schemes to represent yield formation than in those using a harvest index. Such results can inform future crop modelling studies that seek to exploit the diversity of multi-model ensembles, by distinguishing ensemble members that span a wide range of responses as well as those that display implausible behaviour or strong mutual similarities.
Published: 2018
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36. Prediction of enteric methane production, yield and intensity of beef cattle using an intercontinental database

Author: Nico Peiren, Mark McGee, Zhongtang Yu, Sang Suk Lee, Sebastião de Campos Valadares Filho, Ali R. Bayat, Alexandre Berndt, Telma Teresinha Berchielli, Kristin E Hales, Angela Schwarm, André Bannink, E. Charmley, N. Andy Cole, Jan Dijkstra, Maguy Eugène, Cécile Martin, Ermias Kebreab, Carol Anne Duthie, David R. Yáñez-Ruiz, M. Niu, Michael Kreuzer, John Rooke, Les A. Crompton, David P. Casper, Christopher K. Reynolds, Juliana Duarte Messana, Padraig O'Kiely, Martin Hünerberg, Tim A. McAllister, Henk J. van Lingen, Alexander N. Hristov, Mariana Caetano, P. I. Hynd, Alex V. Chaves, Federal Office for Agriculture (Switzerland), European Commission, National Institute of Food and Agriculture (US), Department of Agriculture, Food and Marine (Ireland), Department of Animal science, University of California [Davis] (UC Davis), University of California-University of California, Farmer’s Business Network, Animal Science Department, University of Tabriz [Tabriz], Scotland's Rural College (SRUC), Institute of Agricultural Sciences, Ecole Polytechnique Fédérale de Zurich, University of Adelaide, Department of Animal and Veterinary Bioscience, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Teagasc Agriculture and Food Development Authority (Teagasc), Department of Agricultural, Food and Nutritional Science, University of Alberta, Lethbridge Research and Development Centre, Agriculture and Agri-Food [Ottawa] (AAFC), Research Institute for Agricultural, Fisheries and Food (ILVO), Faculty of Science, School of Life and Environmental Sciences, University of Sydney, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), USDA-ARS : Agricultural Research Service, Department of Animal Science and Technology, Suncheon National University, Research and Development, EMBRAPA Southeast Livestock, School of Agriculture, Policy and Development, University of Reading (UOR), Milk Production, Production Systems, Natural resources institute Finland, Estacion Experimental del Zaidin-CSIC, Department of Animal Sciences, University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, Wageningen Livestock Research, Wageningen / Aeres University of Applied Sciences, Animal Nutrition Group, Wageningen University and Research [Wageningen] (WUR), Furst McNess Company, FACCE-JPI program Global Network (ANR-13-JFAC-0003-01), Scotland's Rural College (SCUR), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), United States Department of Agriculture - Agricultural Research Service, Natural Resources Institute Finland, Wageningen University and Research Centre [Wageningen] (WUR), University of California, Farmer's Business Network Inc., Universidade Federal de Viçosa (UFV), SRUC, The University of Adelaide, Université Clermont Auvergne, Dunsany, Agriculture and Agri-Food Canada, Universidade Estadual Paulista (Unesp), Animal Sciences Unit, School of Life and Environmental Sciences, CSIRO Agriculture and Food, USDA-ARS, Sunchon National University, Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), University of Reading, Natural Resources Institute Finland (Luke), Estación Experimental del Zaidin (CSIC), The Ohio State University, Wageningen University & Research, The Pennsylvania State University, and Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Subjects: 0106 biological sciences, bovin, Animal Nutrition, [SDV]Life Sciences [q-bio], Forage, Beef cattle, computer.software_genre, 7. Clean energy, 010603 evolutionary biology, 01 natural sciences, Dietary variables, Yield (wine), Linear regression, Dry matter, méthane, Empirical modeling, Geographical region, Mathematics, 2. Zero hunger, base de données, Ecology, Database, 04 agricultural and veterinary sciences, prediction, Forage content, Diervoeding, 13. Climate action, Greenhouse gas, international, marsh gas, Methane emission, 040103 agronomy & agriculture, WIAS, 0401 agriculture, forestry, and fisheries, Animal Science and Zoology, Agronomy and Crop Science, computer, Intensity (heat transfer), Predictive modelling
Abstract: Enteric methane (CH) production attributable to beef cattle contributes to global greenhouse gas emissions. Reliably estimating this contribution requires extensive CH emission data from beef cattle under different management conditions worldwide. The objectives were to: 1) predict CH production (g d animal), yield [g (kg dry matter intake; DMI)] and intensity [g (kg average daily gain)] using an intercontinental database (data from Europe, North America, Brazil, Australia and South Korea); 2) assess the impact of geographic region, and of higher- and lower-forage diets. Linear models were developed by incrementally adding covariates. A K-fold cross-validation indicated that a CH production equation using only DMI that was fitted to all available data had a root mean square prediction error (RMSPE; % of observed mean) of 31.2%. Subsets containing data with ≥25% and ≤18% dietary forage contents had an RMSPE of 30.8 and 34.2%, with the all-data CH production equation, whereas these errors decreased to 29.3 and 28.4%, respectively, when using CH prediction equations fitted to these subsets. The RMSPE of the ≥25% forage subset further decreased to 24.7% when using multiple regression. Europe- and North America-specific subsets predicted by the best performing ≥25% forage multiple regression equation had RMSPE of 24.5 and 20.4%, whereas these errors were 24.5 and 20.0% with region-specific equations, respectively. The developed equations had less RMSPE than extant equations evaluated for all data (22.5 vs. 23.2%), for higher-forage (21.2 vs. 23.1%), but not for the lower-forage subsets (28.4 vs. 27.9%). Splitting the dataset by forage content did not improve CH yield or intensity predictions. Predicting beef cattle CH production using energy conversion factors, as applied by the Intergovernmental Panel on Climate Change, indicated that adequate forage content-based and region-specific energy conversion factors improve prediction accuracy and are preferred in national or global inventories., Authors gratefully acknowledge project funding from the USDA National Institute of Food and Agriculture Federal Appropriations under Project PEN 04539 and Accession number 1000803; the Joint Programming Initiative on Agriculture, Food Security and Climate Change (FACCE-JPI)’s ‘GLOBAL NETWORK’ project and the ‘Feeding and Nutrition Network’ (http://animalscience.psu.edu/fnn) of the Livestock Research Group within the Global Research Alliance for Agricultural Greenhouse Gases (www.globalresearchalliance.org); the Sesnon Endowed Chair program (UC Davis); the Swiss Federal Office of Agriculture, Berne, Switzerland; AHDB Beef and Lamb, the Scottish Government, Defra and the devolved administrations through the UK Agricultural Greenhouse Gas Inventory Research Platform; French National Research Agency through the FACCE-JPI program (ANR-13-JFAC-0003-01); the Cooperative Research Program for Agriculture Science, (Project No. PJ013448012018), RDA, Republic of Korea; the Australian Government Department of Agriculture, Fisheries and Forestry (Carbon Farming Futures Action on the Ground program; AOTGR2-0400); the financial support of the Reducing Emissions from Livestock Research Program, the National Livestock Methane Program, Meat and Livestock Australia, CSIRO and Ridley AgriProducts Pty, Ltd; the Institute of Science and Technology in Animal Science (INCTCA 465377/2014-9), the Department of Agriculture, Food and the Marine (DAFM), Ireland (AGRI-I project); European Commission through SMEthane (FP7‐SME‐262,270); Beef Cattle Research Council of the Canadian Cattlemen’s Association; the Cofund for Monitoring & Mitigation of Greenhouse Gases from Agri- and Silvi-culture (FACCE ERA-GAS)’s project Capturing Effects of Diet on Emissions from Ruminant Systems and the Dutch Ministry of Agriculture, Nature and Food Quality (AF-EU-18010 & BO-4400159-01).
Published: 2018
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37. The genetics of overwintering performance in two-year old common carp and its relation to performance until market size

Author: Prchal, Martin, Kause, Antti, Vandeputte, Marc, Gela, David, Allamellou, Jean-Michel, Kumar, Girish, Bestin, Anastasia, Bugeon, Jérôme, Zhao, Jinfeng, Kocour, Martin, Faculty of Fisheries and Protection of Waters [University of South Bohemia], University of South Bohemia, Natural Resources Institute Finland, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), Institut National de la Recherche Agronomique (INRA), Syndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), Laboratoire de Physiologie et Génomique des Poissons (LPGP), Institut National de la Recherche Agronomique (INRA)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), This study was supported by the Ministry of Education, Youth, and Sports of the Czech Republic (projects CENAKVA – CZ.1.05/2.1.00/ 01.0024 and CENAKVA II – LO1205, the Grant Agency of the University of South Bohemia (project no. 125/2016/Z) and project of the Czech NAAR (NAZV) no. QK1710310., European Project: 613611,EC:FP7:KBBE,FP7-KBBE-2013-7-single-stage,FISHBOOST(2014), Natural Resources Institute Finland (LUKE), Faculty of Fisheries and Protection of Waters, South Bohemian Research Center of Aquaculture and Biodiversity of Hydrocenoses, AgroParisTech-Institut National de la Recherche Agronomique (INRA), INRA Allée Henri Fabre, Campus de Beaulieu, and Syndicat des Sélectionneurs Avicoles et Aquacoles Français
Subjects: Male, Physiology, muscle, cyprinus carpio, [SDV]Life Sciences [q-bio], taille d'hiver, lcsh:Medicine, Marine and Aquatic Sciences, Aquaculture, Biochemistry, corrélation génétique, Fats, poisson, cyprinidae, Medicine and Health Sciences, liveweight, sélection, Animal Husbandry, lcsh:Science, rendement à l'abattage, mise sur le marché, carp, Eukaryota, Agriculture, marché, croissance hivernale, Lipids, genetic correlation, performance génétique, Phenotypes, phénotype, Phenotype, Physiological Parameters, muscle mass, Osteichthyes, Vertebrates, Body Composition, Female, Fish Farming, Seasons, Research Article, Meat, Carps, masse musculaire, Fisheries, masse graisseuse, paramètre génétique, performance de croissance, Quantitative Trait, Heritable, poids corporel, Genetics, Animals, croissance animale, Ponds, fish, Models, Genetic, lcsh:R, Winter, Body Weight, market, Organisms, Correction, Biology and Life Sciences, rendement en carcasse, Bodies of Water, carpe, rendement en filet, growth, performance, market size, genetics, corrélation phénotypique, Earth Sciences, lcsh:Q, genetic variance, Microsatellite Repeats, animal growth
Abstract: Correction(fichier annexe) : The genetics of overwintering performance in two-year old common carp and its relation to performance until market size (vol 13, e0191624, 2018); Using farmed common carp, we investigated the genetic background of the second year overwintering performance and its relation to the performance during the third growing season and at market size. The experimental stock was established by partial factorial design with a series of 4 factorial matings of 5 dams and 10 sires each. The families were reared communally and pedigree was re-constructed with 93.6% success using 12 microsatellites on 2008 offspring. Three successive recordings (second autumn, third spring, and third autumn—market size) covering two periods (second overwintering, third growing season) were included. Body weight, Fulton’s condition factor and percent muscle fat content were recorded at all times and headless carcass yield and fillet yield were recorded at market size. Specific growth rate, absolute and relative fat change and overall survival were calculated for each period. Heritability estimates were significantly different from zero and almost all traits were moderately to highly heritable (h2 = 0.36–1.00), except survival in both periods and fat change (both patterns) during overwintering (h2 = 0.12–0.15). Genetic and phenotypic correlations imply that selection against weight loss and fat loss during overwintering is expected to lead to a better winter survival, together with a positive effect on growth in the third growing season. Interestingly, higher muscle fat content was genetically correlated to lower survival in the following period (rg = -0.59; -0.53, respectively for winter and the third summer). On the other hand, higher muscle fat was also genetically linked to better slaughter yields. Moreover, selection for higher condition factor would lead to better performance during winter, growing season and at market size.
Published: 2018
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38. Parallel and comparative use of three multicriteria decision support methods in an environmental portfolio problem

Author: Mika Marttunen, Arto Haara, Turo Hjerppe, Mikko Kurttila, Juuso Liesiö, Jyri Mustajoki, Heli Saarikoski, Anne Tolvanen, Suomen ympäristökeskus, The Finnish Environment Institute, Finnish Environment Institute, Luke Natural Resources Institute Finland, Department of Information and Service Management, Aalto-yliopisto, and Aalto University
Subjects: Information Systems and Management, General Computer Science, multiple criteria analysis, päätöksenteko, Decision support systems, Management Science and Operations Research, Portfolio decision analysis, Industrial and Manufacturing Engineering, ympäristökysymykset, Behavioural operational research, Multiple criteria analysis, kosteikot, monimuuttujamenetelmät, Modeling and Simulation, suot, ennallistaminen, Stakeholder involvement, decision support systems
Abstract: Funding Information: This work was supported by the Academy of Finland Project PortRight (Grant No. 323798 , 323800 , 325430 ). We would like to thank stakeholders who actively participated in the workshops and brought their expertise and experience to the process. Publisher Copyright: © 2022 The Author(s) Environmental management problems are often portfolio problems where the task is to find a set of actions that meets different objectives (e.g., the reduction of greenhouse gas emissions) and constraints (e.g., costs). We report experiences from deploying multiple operations research (OR) methods in a real decision-making setting and discuss the insights gained from this process. The applied methods were Multi-Attribute Value Theory (MAVT), the project portfolio selection tool Your Own Decision Aid (YODA) and Robust Portfolio Modelling (RPM). The methods were applied in a portfolio case evaluating three peatland rewetting options (“No action”, “Restoration”, “Damming”) for 79 drained peatland stands in an important recreational and nature conservation area in southern Finland. The pros and cons of the methods were evaluated, as well as their key methodological challenges, in a participatory environmental portfolio case. The applied methods yielded similar results in terms of the superiority of rewetting options. The strength of MAVT was its ability to highlight the strengths and weaknesses of all three rewetting options for a single peatland stand. YODA's strength was its simplicity and the possibility to apply it independently via the Internet. RPM made it possible to determine the priority of peatland stands within constraints, even without precise preference information. To our knowledge, this is the first systematic evaluation of three methods representing different ‘method categories’ (MAVT, multi-criteria elimination, portfolio decision analysis) applied to a real environmental problem.
Published: 2023
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39. C-MIP: An international model inter-comparison simulating organic carbon dynamics in bare fallow soils

Author: Farina, Roberta, Ehrhardt, Fiona, Bellocchi, Gianni, Chenu, Claire, Soussana, Jean-François, Abdalla, Mohamed, Blauer, Mira, Brilli, Lorenzo, Chakrabarti, Bidisha, Clivot, Hugues, De Antoni, Max, di bene, claudia, Dorich, Cristopher, Ferchaud, Fabien, Nuala, Fitton, Francaviglia, Rosa, Franko, Uwe, Grant, Brian B, Guenet, Bertrand, Harrison, Matthew T., Kirschbaum, Miko U.F., Kuka, Katrin, Lehtonen, Aleksi, Martin, Raphaël, Meier, Elizabeth Anne, Menichetti, Lorenzo, Mula, Laura, Nendel, Claas, Rolinski, Susanne, Sharp, Joanna, Shepherd, Anita, Smith, Ward, Snow, Val, Taghizadeh-Toosi, Arezoo, Tsutskikh, Elena, Zhang, Qing, Recous, Sylvie, Research Centre for the Soil-Plant System, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Collège de Direction (CODIR), Institut National de la Recherche Agronomique (INRA), Unité Mixte de Recherche sur l'Ecosystème Prairial - UMR (UREP), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Institute of Biological and Environmental Sciences, (SFIRC), Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris-Saclay, Istituto di Biometeorologia [Firenze] (IBIMET), Consiglio Nazionale delle Ricerche (CNR), Indian Agricultural Research Institute (IARI), Agroressources et Impacts environnementaux (AgroImpact), Queensland University of Technology, Colorado State University [Fort Collins] (CSU), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Agriculture Canada, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Tasmanian Institute of Agriculture, Manaaki Whenua – Landcare Research [Lincoln], Julius Kühn-Institut (JKI), Natural resources institute Finland, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Swedish University of Agricultural Sciences (SLU), Dipartimento di Agraria e Nucleo Ricerca Desertificazione, Università degli Studi di Sassari, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Potsdam Institute for Climate Impact Research (PIK), Plant & Food Research, Rothamsted Research, Agriculture and Agri-Food [Ottawa] (AAFC), AgResearch Ltd, Aarhus University [Aarhus], Institute of Atmospheric Physics [Beijing] (IAP), Chinese Academy of Sciences [Beijing] (CAS), Fractionnement des AgroRessources et Environnement (FARE), Université de Reims Champagne-Ardenne (URCA)-Institut National de la Recherche Agronomique (INRA), Farina, Roberta, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics (CREA), Université Paris Saclay (COmUE), University of Aberdeen, National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Queensland University of Technology [Brisbane] (QUT), Agriculture and Agri-Food (AAFC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Natural Resources Institute Finland (LUKE), Università degli Studi di Sassari = University of Sassari [Sassari] (UNISS), and Biotechnology and Biological Sciences Research Council (BBSRC)
Subjects: [SDV]Life Sciences [q-bio]
Abstract: IntroductionC sequestration in agricultural soils contributes to the achievement of the climate objectives (e.g. COP-21"s "4per 1000" initiative). Reliable methodologies are needed to assess the soil C sequestration potential of agricultural lands in different management, soil and climate conditions. Simulation models extrapolate C dynamics from current knowledge in both time and space. This is difficult when soil is covered by vegetation,for the continuous input of plant residues and root exudates, and the influence of plants on soil water and temperature dynamics. Long-term bare fallow (LTBF) experiments offer ideal conditions to test models simulating soil organic C dynamics.
Published: 2017

40. The uncertainty of crop yield projections is reduced by improved temperature response functions

Author: Alex C. Ruane, Peter J. Thorburn, Mikhail A. Semenov, Joost Wolf, Claudio O. Stöckle, Pramod K. Aggarwal, Gerard W. Wall, Margarita Garcia-Vila, Matthew P. Reynolds, Eckart Priesack, Jørgen E. Olesen, Enli Wang, Bruce A. Kimball, Jordi Doltra, Iurii Shcherbak, Ehsan Eyshi Rezaei, Jeffrey W. White, Leilei Liu, L. A. Hunt, Senthold Asseng, Frank Ewert, Yan Zhu, Fulu Tao, Christoph Müller, Daniel Wallach, Christian Biernath, Davide Cammarano, Mohamed Jabloun, Zhigan Zhao, Michael J. Ottman, Pierre Martre, Sebastian Gayler, Garry O'Leary, Zhimin Wang, Jakarat Anothai, Elias Fereres, Claas Nendel, Bruno Basso, Thilo Streck, Curtis D. Jones, Andrea Maiorano, Phillip D. Alderman, Andrew J. Challinor, Reimund P. Rötter, Taru Palosuo, Iwan Supit, Katharina Waha, Giacomo De Sanctis, Kurt Christian Kersebaum, Soora Naresh Kumar, Gerrit Hoogenboom, Dominique Ripoche, Pierre Stratonovitch, Ann-Kristin Koehler, Roberto C. Izaurralde, Commonwealth Scientific and Industrial Research Organisation (Australia), Chinese Academy of Sciences, China Scholarship Council, Ministry of Education of the People's Republic of China, Institut National de la Recherche Agronomique (France), European Commission, International Food Policy Research Institute (US), CGIAR (France), Department of Agriculture (US), Federal Ministry of Education and Research (Germany), Deutsche Gesellschaft für Internationale Zusammenarbeit, Danish Council for Strategic Research, Federal Ministry of Food and Agriculture (Germany), Finnish Ministry of Agriculture and Forestry, National Natural Science Foundation of China, Helmholtz Association, Grains Research and Development Corporation (Australia), Texas AgriLife Research, Texas A&M University, National Institute of Food and Agriculture (US), CSIRO, Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), College of Agronomy and Biotechnology, Southwest University, Institute of Crop Science and Resource Conservation, Division of Plant Nutrition-University of Bonn, Institute of Landscape Systems Analysis, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Department of Crop Sciences, University of Goettingen, Centre of Biodiversity and Sustainable Land Use (CBL), United States Department of Agriculture - Agricultural Research Service, The School of Plant Sciences, University of Arizona, Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Washington State University (WSU), Department of Earth and Environmental Sciences and W.K. Kellogg Biological Station, Michigan State University [East Lansing], Michigan State University System-Michigan State University System, Institute of Biochemical Plant Pathology (BIOP), German Research Center for Environmental Health - Helmholtz Center München (GmbH), Agricultural and Biological Engineering Department, Purdue University [West Lafayette], Institute for Climate and Atmospheric Science [Leeds] (ICAS), School of Earth and Environment [Leeds] (SEE), University of Leeds-University of Leeds, GMO Unit, European Food Safety Authority = Autorité européenne de sécurité des aliments, Cantabrian Agricultural Research and Training Centre, Dep. Agronomia, University of Córdoba [Córdoba], Spanish National Research Council (CSIC), Institute of Soil Science and Land Evaluation, University of Hohenheim, Department of Plant Agriculture, University of Guelph, Department of Geographical Sciences, University of Maryland [College Park], University of Maryland System-University of Maryland System, Texas A&M AgriLife Research and Extension Center, Texas A&M University System, Department of Agroecology, Aarhus University [Aarhus], National Engineering and Technology Center for Information Agriculture, Nanjing Agricutural University, Potsdam Institute for Climate Impact Research (PIK), Centre for Environment Science and Climate Resilient Agriculture (CESCRA), Indian Agricultural Research Institute (IARI), Department of Economic Development, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), Natural Resources Institute Finland, Institute of Crop Science and Resource Conservation (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, UE Agroclim (UE AGROCLIM), Institut National de la Recherche Agronomique (INRA), NASA Goddard Institute for Space Studies (GISS), NASA Goddard Space Flight Center (GSFC), Computational and Systems Biology Department, Rothamsted Research, Biological Systems Engineering, University of Wisconsin-Madison, PPS and WSG &CALM, Wageningen University and Research Center (WUR), Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [Beijing] (CAS), Agriculture and Food, Universidad de La Rioja (UR), UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, China Agricultural University, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), China Agricultural University (CAU), Institute of Crop Science and Resource Conservation [Bonn], Georg-August-University [Göttingen], Arid-Land Agricultural Research Center, Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Department of Agricultural and Biological Engineering [Gainesville] (UF|ABE), Institute of Food and Agricultural Sciences [Gainesville] (UF|IFAS), University of Florida [Gainesville] (UF)-University of Florida [Gainesville] (UF), University of Leeds, European Food Safety Authority (EFSA), Catabrian Agricultural Research and Training Center (CIFA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), AgWeatherNet Program, Texas A and M AgriLife Research, Jiangsu Collaborative Innovation Center for Modern Crop Production, Landscape and Water Sciences, Natural Resources Institute Finland (LUKE), Agroclim (AGROCLIM), Wageningen University and Research [Wageningen] (WUR), Chinese Academy of Agricultural Sciences (CAAS), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, European Project: 267196,EC:FP7:PEOPLE,FP7-PEOPLE-2010-COFUND,AGREENSKILLS(2012), Écophysiologie des Plantes sous Stress environnementaux ( LEPSE ), Institut National de la Recherche Agronomique ( INRA ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Leibniz Centre for Agricultural Landscape Research, International Maize and Wheat Improvement Center ( CIMMYT ), CGIAR Research Program on Climate Change, Agriculture and Food Security ( CCAFS ), Washington State University ( WSU ), Michigan State University, Institute of Biochemical Plant Pathology ( BIOP ), Institute for Climate and Atmospheric Science, School of Earth and Environment, European Food Safety Authority, Spanish National Research Council ( CSIC ), Texas A and M University ( TAMU ), Potsdam Institute for Climate Impact Research ( PIK ), Centre for Environment Science and Climate Resilient Agriculture ( CESCRA ), Indian Agricultural Research Institute ( IARI ), Department of Economic Development, Jobs, Transport and Resources ( DEDJTR ), University of Bonn (Rheinische Friedrich-Wilhelms), UE Agroclim ( UE AGROCLIM ), Institut National de la Recherche Agronomique ( INRA ), NASA Goddard Institute for Space Studies ( GISS ), NASA Goddard Space Flight Center ( GSFC ), University of Wisconsin-Madison [Madison], Wageningen University and Research Center ( WUR ), Chinese Academy of Sciences [Beijing] ( CAS ), Universidad de La Rioja ( UR ), University of Bonn-Division of Plant Nutrition, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), USDA-ARS : Agricultural Research Service, Consultative Group on International Agricultural Research [CGIAR]-Consultative Group on International Agricultural Research [CGIAR], Natural resources institute Finland, Georg-August-University = Georg-August-Universität Göttingen, Universidad de Córdoba = University of Córdoba [Córdoba], Biotechnology and Biological Sciences Research Council (BBSRC)-Biotechnology and Biological Sciences Research Council (BBSRC), and Université de Toulouse (UT)-Université de Toulouse (UT)
Subjects: Crops, Agricultural, 010504 meteorology & atmospheric sciences, [SDV]Life Sciences [q-bio], Yield (finance), Water en Voedsel, Growing season, Climate change, klim, Plant Science, Agricultural engineering, Models, Biological, 01 natural sciences, [SHS]Humanities and Social Sciences, Crop, Life Science, Computer Simulation, Productivity, 0105 earth and related environmental sciences, 2. Zero hunger, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, WIMEK, Water and Food, Food security, business.industry, Crop yield, Temperature, Agriculture, 04 agricultural and veterinary sciences, 15. Life on land, Climate Resilience, Agronomy, Klimaatbestendigheid, 13. Climate action, [SDE]Environmental Sciences, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, Water Systems and Global Change, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, business
Abstract: Increasing the accuracy of crop productivity estimates is a key element in planning adaptation strategies to ensure global food security under climate change. Process-based crop models are effective means to project climate impact on crop yield, but have large uncertainty in yield simulations. Here, we show that variations in the mathematical functions currently used to simulate temperature responses of physiological processes in 29 wheat models account for >50% of uncertainty in simulated grain yields for mean growing season temperatures from 14 °C to 33 °C. We derived a set of new temperature response functions that when substituted in four wheat models reduced the error in grain yield simulations across seven global sites with different temperature regimes by 19% to 50% (42% average). We anticipate the improved temperature responses to be a key step to improve modelling of crops under rising temperature and climate change, leading to higher skill of crop yield projections., E.W. acknowledges support from the CSIRO project ‘Enhanced modelling of genotype by environment interactions’ and the project ‘Advancing crop yield while reducing the use of water and nitrogen’ jointly funded by CSIRO and the Chinese Academy of Sciences (CAS). Z.Z. received a scholarship from the China Scholarship Council through the CSIRO and the Chinese Ministry of Education PhD Research Program. P.M., A.M. and D.R. acknowledge support from the FACCE JPI MACSUR project (031A103B) through the metaprogram Adaptation of Agriculture and Forests to Climate Change (AAFCC) of the French National Institute for Agricultural Research (INRA). A.M. received the support of the EU in the framework of the Marie-Curie FP7 COFUND People Programme, through the award of an AgreenSkills fellowship under grant agreement No. PCOFUND-GA-2010-267196. S.A. and D.C. acknowledge support provided by the International Food Policy Research Institute (IFPRI), CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), the CGIAR Research Program on Wheat and the Wheat Initiative. C.S. was funded through USDA National Institute for Food and Agriculture award 32011-68002-30191. C.M. received financial support from the KULUNDA project (01LL0905 L) and the FACCE MACSUR project (031A103B) funded through the German Federal Ministry of Education and Research (BMBF). F.E. received support from the FACCE MACSUR project (031A103B) funded through the German Federal Ministry of Education and Research (2812ERA115) and E.E.R. was funded through the German Federal Ministry of Economic Cooperation and Development (Project: PARI). M.J. and J.E.O. were funded through the FACCE MACSUR project by the Danish Strategic Research Council. K.C.K. and C.N. were funded by the FACCE MACSUR project through the German Federal Ministry of Food and Agriculture (BMEL). F.T., T.P. and R.P.R. received financial support from the FACCE MACSUR project funded through the Finnish Ministry of Agriculture and Forestry (MMM); F.T. was also funded through the National Natural Science Foundation of China (No. 41071030). C.B. was funded through the Helmholtz project ‘REKLIM-Regional Climate Change: Causes and Effects’ Topic 9: ‘Climate Change and Air Quality’. M.P.R. and PD.A. received funding from the CGIAR Research Program on Climate Change, Agriculture, and Food Security (CCAFS). G.O'L. was funded through the Australian Grains Research and Development Corporation and the Department of Economic Development, Jobs, Transport and Resources Victoria, Australia. R.C.I. was funded by Texas AgriLife Research, Texas A&M University. B.B. was funded by USDA-NIFA Grant No: 2015-68007-23133.
Published: 2017
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41. Genome sequencing and population genomic analyses provide insights into the adaptive landscape of silver birch

Author: Airi Lamminmäki, Colin T. Kelleher, Petri Auvinen, Olga Blokhina, Peter J. Gollan, Jaakko Kangasjärvi, Pekka Heino, Hiroaki Fujii, Suvi K. Broholm, Mikael Brosché, Adrien Gauthier, Victor A. Albert, Juhana Kammonen, Suvi Sutela, Leila Pazouki, Olli-Pekka Smolander, Paula Elomaa, Tianying Lan, Ykä Helariutta, Sitaram Rajaraman, Risto Hagqvist, Ali Amiryousefi, Péter Poczai, Maija Sierla, Viivi Ahonen, Jorma Vahala, Fred O. Asiegbu, Enjun Xu, Leila Kauppinen, Jarkko Salojärvi, Ülo Niinemets, Sari Kontunen-Soppela, Alan H. Schulman, Arja Tervahauta, Aleksia Vaattovaara, Kristiina Himanen, Lars Paulin, Johanna Leppälä, E. Tapio Palva, Annikki Welling, Jaakko Tanskanen, Juha Mikola, Daniel Blande, Raili Ruonala, Teemu H. Teeri, Christiaan van der Schoot, Sanna Ehonen, Kaisa Nieminen, Fuqiang Cui, Kurt V. Fagerstedt, Katriina Mouhu, Michael Wrzaczek, Pezhman Safdari, Gugan Eswaran, Andriy Kovalchuk, Elina Oksanen, Lee Macpherson, Pauliina Halimaa, Anna Kärkönen, Kean-Jin Lim, Balamuralikrishna Jayaprakash, J. Patrik Koskinen, Chris Dardick, Matleena Punkkinen, Saijaliisa Kangasjärvi, Juan de Dios Barajas-López, Pasi Rastas, Ari Pekka Mähönen, Courtney A. Hollender, Tiina Blomster, Timo Sipilä, Lidia Vetchinnikova, Tuula Puhakainen, Moona Rahikainen, Sirpa Kärenlampi, Omid Safronov, Ville Pennanen, Alexey Shapiguzov, Matti Rousi, Sacha Escamez, Juha Immanen, Kirk Overmyer, Martin Lascoux, Juan Antonio Alonso Serra, Boy J.H.M. Possen, Department of Plant Molecular Biology, Université de Lausanne (UNIL), SUNY Buffalo, Dept Biol Sci, Buffalo, NY 14260 USA, Université Paris Diderot - Paris 7 (UPD7), Department of Zoology [Cambridge], University of Cambridge [UK] (CAM), Ecophysiologie Végétale, Agronomie et Nutritions (EVA), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Recherche Agronomique (INRA), Division of Plant Physiology, University of Helsinki, Plante - microbe - environnement : biochimie, biologie cellulaire et écologie (PMEBBCE), Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD)-Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Molecular Plant Biology, University of Turku, University of Turku, University of Eastern Finland, Department of Forest Sciences [Helsinki], Faculty of Agriculture and Forestry [Helsinki], University of Helsinki-University of Helsinki, Estonian University of Life Sciences, Viikki Plant Science Centre (ViPS), Faculty of Biological and Environmental Sciences [Helsinki], Natural Resources Institute Finland, University of Oulu, Department of Ecology and Genetics [Uppsala] (EBC), Uppsala University, Department of Biological Sciences [Buffalo], University at Buffalo [SUNY] (SUNY Buffalo), State University of New York (SUNY)-State University of New York (SUNY), Institut National de la Recherche Agronomique (INRA)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-Institut National de la Recherche Agronomique (INRA)-Etablissement National d'Enseignement Supérieur Agronomique de Dijon (ENESAD), Estonian University of Life Sciences (EMU), Natural resources institute Finland, Ympäristö- ja biotieteiden laitos / Toiminta, Biosciences, Institute of Biotechnology, Bioinformatics for Molecular Biology and Genomics (BMBG), Plant-Fungal Interactions Group, Plant ROS-Signalling, Department of Forest Sciences, Frederick Asiegbu / Principal Investigator, Forest Ecology and Management, Department of Agricultural Sciences, Plant stress and natural variation, Plant Biology, Ecosystem processes (INAR Forest Sciences), Asteraceae developmental biology and secondary metabolism, Plant Production Sciences, Pekka Heino / Principal Investigator, Tapio Palva Research Group, Genetics, Environmental Sciences, Terrestrial Interactions Research Group, Ari Pekka Mähönen / Principal Investigator, Finnish Museum of Natural History, Botany, Embryophylo, Teemu Teeri / Principal Investigator, Receptor-Ligand Signaling Group, Alan Schulman / Principal Investigator, DNA Sequencing and Genomics, and Yrjö Helariutta / Principal Investigator
Subjects: 0301 basic medicine, Germplasm, FLOWERING TIME, Plant genetics, Population genetics, Population, Genomics, CAMBIAL ACTIVITY, Genome, DNA sequencing, [SDV.GEN.GPL]Life Sciences [q-bio]/Genetics/Plants genetics, 03 medical and health sciences, Botany, Genetics, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, PHYTOCHROME-C, CYTOKININ, PLANTS, TRANSCRIPTION FACTOR, education, ComputingMilieux_MISCELLANEOUS, education.field_of_study, [SDV.GEN]Life Sciences [q-bio]/Genetics, BETULA-PUBESCENS, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], biology, ta1184, ta1183, fungi, 1184 Genetics, developmental biology, physiology, food and beverages, Betula pubescens, 15. Life on land, biology.organism_classification, EVOLUTION, SIZE, 030104 developmental biology, Betula pendula, ARABIDOPSIS-THALIANA
Abstract: Silver birch (Betula pendula) is a pioneer boreal tree that can be induced to flower within 1 year. Its rapid life cycle, small (440-Mb) genome, and advanced germplasm resources make birch an attractive model for forest biotechnology. We assembled and chromosomally anchored the nuclear genome of an inbred B. pendula individual. Gene duplicates from the paleohexaploid event were enriched for transcriptional regulation, whereas tandem duplicates were overrepresented by environmental responses. Population resequencing of 80 individuals showed effective population size crashes at major points of climatic upheaval. Selective sweeps were enriched among polyploid duplicates encoding key developmental and physiological triggering functions, suggesting that local adaptation has tuned the timing of and cross-talk between fundamental plant processes. Variation around the tightly-linked light response genes PHYC and FRS10 correlated with latitude and longitude and temperature, and with precipitation for PHYC. Similar associations characterized the growth-promoting cytokinin response regulator ARR1, and the wood development genes KAK and MED5A., published version, peerReviewed
Published: 2017
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42. Microevolution of bank voles (Myodes glareolus) at neutral and immune-related genes during multiannual dynamic cycles: consequences for Puumala hantavirus epidemiology

Author: Renaud Vitalis, Maria Razzauti, Liina Voutilainen, Heikki Henttonen, Nathalie Charbonnel, Maxime Galan, Emmanuel Guivier, Bertrand Gauffre, Jukka Niemimaa, Adelaïde Dubois, Jean-François Cosson, Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES), Biologie moléculaire et immunologie parasitaires et fongiques (BIPAR), École nationale vétérinaire - Alfort (ENVA)-Institut National de la Recherche Agronomique (INRA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Normandie, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC), Institut National de la Recherche Agronomique (INRA)-La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS), Natural Resources Institute Finland (LUKE), Department of Medical and Clinical Genetics [Helsinki], Haartman Institute [Helsinki], Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Faculty of Medecine [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki-Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Study funded by an INRA-EFPA/ANSES fellowship., European Project: 261504,EC:FP7:HEALTH,FP7-HEALTH-2010-single-stage,EDENEXT(2011), European Project, Department of Virology, Medicum, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé, Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail (ANSES)-Institut National de la Recherche Agronomique (INRA)-École nationale vétérinaire d'Alfort (ENVA)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Natural Resources Institute Finland, University of Helsinki-University of Helsinki-Faculty of Medecine [Helsinki], University of Helsinki-University of Helsinki, Biogéosciences [UMR 6282] [Dijon] (BGS), Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), École nationale vétérinaire d'Alfort (ENVA)-Institut National de la Recherche Agronomique (INRA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé, Institut National de la Recherche Agronomique (INRA)-Université de La Rochelle (ULR)-Centre National de la Recherche Scientifique (CNRS), École nationale vétérinaire - Alfort (ENVA)-Institut National de la Recherche Agronomique (INRA)-Laboratoire de santé animale, sites de Maisons-Alfort et de Dozulé, La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), and Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement
Subjects: 0301 basic medicine, Male, Myxovirus Resistance Proteins, 0106 biological sciences, SELECTION, Population genetics, Population Dynamics, Gene Expression, NATURAL-POPULATION, Puumala virus, 01 natural sciences, Rodent Diseases, Nephropathia epidemica, Finland, Genetics, Molecular Epidemiology, 0303 health sciences, education.field_of_study, Rodent, Arvicolinae, Microevolution, Biological Evolution, Bank vole, Infectious Diseases, MHC DIVERSITY, Hemorrhagic Fever with Renal Syndrome, Host-Pathogen Interactions, [SDV.IMM]Life Sciences [q-bio]/Immunology, Female, Disease Susceptibility, Density fluctuations, Microbiology (medical), Gene Flow, Population, Metapopulation, Biology, Microbiology, 010603 evolutionary biology, 03 medical and health sciences, Genetic drift, medicine, Immunogenetics, Animals, Humans, POPULATION-STRUCTURE, Adaptation, education, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Disease Reservoirs, 030304 developmental biology, TOLL-LIKE RECEPTORS, Host-pathogen interaction, Polymorphism, Genetic, [SDV.GEN.GPO]Life Sciences [q-bio]/Genetics/Populations and Evolution [q-bio.PE], MX2 PROTEIN, Genetic Drift, NECROSIS-FACTOR-ALPHA, DENSITY-FLUCTUATIONS, medicine.disease, biology.organism_classification, EUROPEAN ROE DEER, Toll-Like Receptor 4, 030104 developmental biology, Toll-Like Receptor 7, Evolutionary biology, 3121 General medicine, internal medicine and other clinical medicine, Vole, RODENT HOST, [SDV.EE.IEO]Life Sciences [q-bio]/Ecology, environment/Symbiosis
Abstract: Understanding how host dynamics, including variations of population size and dispersal, may affect the epidemiology of infectious diseases through ecological and evolutionary processes is an active research area. Here we focus on a bank vole (Myodes glareolus) metapopulation surveyed in Finland between 2005 and 2009. Bank vole is the reservoir of Puumala hantavirus (PUUV), the agent of nephropathia epidemica (NE, a mild form of hemorrhagic fever with renal symptom) in humans.M glareoluspopulations experience multiannual density fluctuations that may influence the level of genetic diversity maintained in bank voles, PUUV prevalence and NE occurrence. We examine bank vole metapopulation genetics at presumably neutral markers and immune-related genes involved in susceptibility to PUUV (Tnf-promoter,Mhc-Drb, Tlr4,Tlr7andMx2gene) to investigate the links between population dynamics, microevolutionary processes and PUUV epidemiology. We show that genetic drift slightly and transiently affects neutral and adaptive genetic variability within the metapopulation. Gene flow seems to counterbalance its effects during the multiannual density fluctuations. The low abundance phase may therefore be too short to impact genetic variation in the host, and consequently viral genetic diversity. Environmental heterogeneity does not seem to affect vole gene flow, which might explain the absence of spatial structure previously detected in PUUV in this area. Besides, our results suggest the role of vole dispersal on PUUV circulation through sex-specific and density-dependent movements. We find little evidence of selection acting on immune-related genes within this metapopulation. Footprint of positive selection is detected atTlr-4gene in 2008 only. We observe marginally significant associations betweenMhc-Drbhaplotypes and PUUV serology, and betweenMx2genotype and PUUV genogroups. These results show that microevolutionary changes and PUUV epidemiology in this metapopulation are mainly driven by neutral processes, although the relative effects of neutral and adaptive forces could vary temporally with density fluctuations.
Published: 2017
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43. Metatranscriptomics Reveals the Active Bacterial and Eukaryotic Fibrolytic Communities in the Rumen of Dairy Cow Fed a Mixed Diet

Author: Pascale Mosoni, Eric Peyretaillade, Pascale Lepercq, Kevin J. Shingfield, Sophie Comtet-Marre, Pierre Peyret, Ali R. Bayat, Frédérique Chaucheyras-Durand, Evelyne Forano, Nicolas Parisot, Microbiologie Environnement Digestif Santé (MEDIS), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), EA4678 CIDAM, Université d'Auvergne - Clermont-Ferrand I (UdA), Nutritional Physiology, Green Technology, Natural Resources Institute Finland (LUKE), Institute of Biological, Environmental and Rural Sciences, Nutritional Physiology, Green Technology, Region Auvergne (Bourse Innovation et Transfert de Technologie), Lallemand Animal Nutrition (France), INRA Clermont-Ferrand-Theix-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Natural resources institute Finland, and Forano, Evelyne
Subjects: 0301 basic medicine, Microbiology (medical), carbohydrate esterases, Microorganism, [SDV]Life Sciences [q-bio], 030106 microbiology, microbiote digestif, Cellulase, Microbiology, 03 medical and health sciences, Rumen, Fibrobacter, fiber degradation, glycoside hydrolases, metatranscriptomics, polysaccharide lyases, rumen, Prevotella, dairy cows, dégradation des fibres, glycoside hydrolase, Pectinase, Original Research, 2. Zero hunger, biology, Microbiology and Parasitology, biology.organism_classification, Microbiologie et Parasitologie, 030104 developmental biology, Fibrolytic bacterium, polysaccharide, vache laitière, biology.protein, Protozoa
Abstract: Ruminants have a unique ability to derive energy from the degradation of plant polysaccharides through the activity of the rumen microbiota. Although this process is well studied in vitro, knowledge gaps remain regarding the relative contribution of the microbiota members and enzymes in vivo. The present study used RNA-sequencing to reveal both the expression of genes encoding carbohydrate-active enzymes (CAZymes) by the rumen microbiota of a lactating dairy cow and the microorganisms forming the fiber-degrading community. Functional analysis identified 12,237 CAZymes, accounting for 1% of the transcripts. The CAZyme profile was dominated by families GH94 (cellobiose-phosphorylase), GH13 (amylase), GH43 and GH10 (hemicellulases), GH9 and GH48 (cellulases), PL11 (pectinase) as well as GH2 and GH3 (oligosaccharidases). Our data support the pivotal role of the most characterized fibrolytic bacteria (Prevotella, Ruminocccus and Fibrobacter), and highlight a substantial, although most probably underestimated, contribution of fungi and ciliate protozoa to polysaccharide degradation. Particularly these results may motivate further exploration of the role and the functions of protozoa in the rumen. Moreover, an important part of the fibrolytic bacterial community remains to be characterized since one third of the CAZyme transcripts originated from distantly related strains. These findings are used to highlight limitations of current metatranscriptomics approaches to understand the functional rumen microbial community and opportunities to circumvent them.
Published: 2017
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44. A framework for the evaluation of biosecurity, commercial, regulatory and scientific impacts of plant viruses and viroids identified by NGS technologies

Author: Dijana Škorić, Lukas Predajna, Jose Fernando Gil, Pasquale Saldarelli, Thierry Wetzel, Eeva J. Vainio, Hervé Vanderschuren, Jean-Sébastien Reynard, Thierry Candresse, Maja Ravnikar, Christina Varveri, Sébastien Massart, Christophe Lacomme, Jari P. T. Valkonen, Artemis Rumbou, Université de Liège, Biologie du fruit et pathologie (BFP), Université Sciences et Technologies - Bordeaux 1-Institut National de la Recherche Agronomique (INRA)-Université Bordeaux Segalen - Bordeaux 2, Uppsala Biocenter, Swedish University of Agricultural Sciences (SLU), Science and Advice for Scottish Agriculture, Department of Plant Virology, Institute of Virology, Biomedical Research Center, Slovak Academy of Sciences (SAS), Department of Biotechnology and Systems Biology, National Institute of Biology, Virology, State Serum Institute, Division Phytomedicine Lentzeallee, Faculty of Life Sciences, Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences, Humboldt State University (HSU), Institute for Sustainable Plant Protection of National Research Council (ISPP - CNR), Department of Biology, Faculty of Science, University of Isfahan, Natural Resources Institute Finland, Department of Agricultural Sciences, The Royal Veterinary ans Agricultural University, Plant Genetics, CNR-ISPA, Department of Phytopathology, Lublin University of Life Sciences, Dienstleistungszentren Landlicher Raum Rheinland-Pfalz (DLR), Plant Pathology Laboratory, Aristotle University of Thessaloniki-School of Agriculture, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Université Sciences et Technologies - Bordeaux 1, Plant Biology, Linnean Centre for Plant Biology, Uppsala BioCentre, Management and Production of Renewable Resources, Natural resources institute Finland, CNR-ISPP, Centre de Coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). FRA., Plant Pathology and Virology, Viikki Plant Science Centre (ViPS), Plant Production Sciences, and ProdInra, Archive Ouverte
Subjects: 0301 basic medicine, Microbiology (medical), Phytopathology and phytopharmacy, Biosecurity, detection, Plant Virology, Biology, Virus diseases, DIAGNOSTICS, WIDESPREAD, QUARANTINE, Microbiology, DISEASE, 03 medical and health sciences, Biosafety, regulations, phytopathogenic virus, viroide phytopathogène, Plant virus, santé des plantes, virus diseases, GRAPEVINE, pathologie végétale, NGS, pest risk analysis, virus diseases, biological characterization, plant health, regulatory agencies, [SDV.BV.PEP] Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy, 1183 Plant biology, microbiology, virology, [SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/Virology, virus phytopathogène, NGS, pest risk analysis, biological characterization, plant health, regulatory agencies, business.industry, Pest Risk Analysis, Phytopathologie et phytopharmacie, Data science, Biotechnology, [SDV.BV.PEP]Life Sciences [q-bio]/Vegetal Biology/Phytopathology and phytopharmacy, 030104 developmental biology, MIXED INFECTIONS, Perspective, [SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology, SEPARATION, virologie végétale, business, PINOT-GRIS, Mixed infection
Abstract: Recent advances in high-throughput sequencing technologies and bioinformatics have generated huge new opportunities for discovering and diagnosing plant viruses and viroids. Plant virology has undoubtedly benefited from these new methodologies, but at the same time, faces now substantial bottlenecks, namely the biological characterization of the newly discovered viruses and the analysis of their impact at the biosecurity, commercial, regulatory, and scientific levels. This paper proposes a scaled and progressive scientific framework for efficient biological characterization and risk assessment when a previously known or a new plant virus is detected by next generation sequencing (NGS) technologies. Four case studies are also presented to illustrate the need for such a framework, and to discuss the scenarios.
Published: 2017
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45. Multi-model uncertainty analysis in predicting grain N for crop rotations in Europe

Author: Yin, Xiaogang, Kersebaum, Kurt Christian, Kollas, Chris, Baby, Sanmohan, Beaudoin, Nicolas, Manevski, Kiril, Palosuo, Taru, Nendel, Claas, Wu, Lianhai, Hoffmann, Munir, Hoffmann, Holger, Sharif, Behzad, Armas-Herrera, Cecilia M., Bindi, Marco, Charfeddine, Monia, Conradt, Tobias, Constantin, Julie, Ewert, Frank, Ferrise, Roberto, Gaiser, Thomas, de Cortazar-Atauri, Iñaki Garcia, Giglio, Luisa, Hlavinka, Petr, Lana, Marcos, Launay, Marie, Louarn, Gaëtan, Manderscheid, Remy, Mary, Bruno, Mirschel, Wilfried, Moriondo, Marco, Öztürk, Isik, Pacholski, Andreas, Ripoche-Wachter, Dominique, Rötter, Reimund P., Ruget, Françoise, Trnka, Mirek, Ventrella, Domenico, Weigel, Hans Joachim, Olesen, Jørgen E., Unité d'Agronomie de Laon-Reims-Mons (AGRO-LRM), Institut National de la Recherche Agronomique (INRA), Department of Agroecology, Aarhus University [Aarhus], Institute of Landscape Systems Analysis, Leibniz-Zentrum für Agrarlandschaftsforschung = Leibniz Centre for Agricultural Landscape Research (ZALF), Potsdam Institute for Climate Impact Research (PIK), Natural Resources Institute Finland, Rothamsted Research, Crop Production Systems in the Tropics, Georg-August-Universität Göttingen, INRES, Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Agri-food Production and Environmental Sciences, University of Florence (UNIFI), Unità di ricerca per i sistemi colturali degli ambienti caldo-aridi, Agricultural Research Council (CRA), UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, UE Agroclim (UE AGROCLIM), Global Change Research Centre (CzechGlobe), Mendel University in Brno, Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Thünen Institute of Biodiversity, Istituto di Biometeorologia [Firenze] (IBIMET), Consiglio Nazionale delle Ricerche (CNR), EurochemAgro, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), FACCE MACSUR 2812ERA147/CARBIOCIAL 01LL0902M/ KULUNDA 01LL0905L /NORFASYS 268277 292944/MACSUR D.M. 24064/7303/15/ QJ1310123, Agroressources et Impacts environnementaux (AgroImpact), Natural resources institute Finland, Georg-August-University [Göttingen], Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Agroclim (AGROCLIM), and Mendel University in Brno (MENDELU)
Subjects: [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Irrigation, 010504 meteorology & atmospheric sciences, Model calibration, Soil Science, Single Year simulation, Plant Science, 01 natural sciences, Model ensemble, Crop, continuous simulation, model ensemble, Grain N, Uncertainty analysis, 0105 earth and related environmental sciences, Mathematics, 2. Zero hunger, model calibration, grain n, Crop yield, Simulation modeling, Continuous simulation, Model inter-comparison, Single year simulation, 04 agricultural and veterinary sciences, Crop rotation, model inter-comparison, single year simulation, Tillage, Mean absolute percentage error, Agronomy, Continous simulation, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Agronomy and Crop Science, Model intercomparison
Abstract: Realistic estimation of grain nitrogen (N; N in grain yield) is crucial for assessing N management in crop rotations, but there is little information on the performance of commonly used crop models for simulating grain N. Therefore, the objectives of the study were to (1) test if continuous simulation (multi-year) performs better than single year simulation, (2) assess if calibration improves model performance at different calibration levels, and (3) investigate if a multi-model ensemble can substantially reduce uncertainty in reproducing grain N. For this purpose, 12 models were applied simulating different treatments (catch crops, CO2 concentrations, irrigation, N application, residues and tillage) in four multi-year rotation experiments in Europe to assess modelling accuracy. Seven grain and seed crops in four rotation systems in Europe were included in the study, namely winter wheat, winter barley, spring barley, spring oat, winter rye, pea and winter oilseed rape. Our results indicate that the higher level of calibration significantly increased the quality of the simulation for grain N. In addition, models performed better in predicting grain N of winter wheat, winter barley and spring barley compared to spring oat, winter rye, pea and winter oilseed rape. For each crop, the use of the ensemble mean significantly reduced the mean absolute percentage error (MAPE) between simulations and observations to less than 15%, thus a multi–model ensemble can more precisely predict grain N than a random single model. Models correctly simulated the effects of enhanced N input on grain N of winter wheat and winter barley, whereas effects of tillage and irrigation were less well estimated. However, the use of continuous simulation did not improve the simulations as compared to single year simulation based on the multi-year performance, which suggests needs for further model improvements of crop rotation effects.
Published: 2017
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46. Invited review: Large-scale indirect measurements for enteric methane emissions in dairy cattle: A review of proxies and their potential for use in management and breeding decisions

Author: Hélène Soyeurt, Jan Dijkstra, Richard J. Dewhurst, S. van Gastelen, E. Negussie, Diego P. Morgavi, Y. de Haas, Filippo Biscarini, Nicolas Gengler, Frédéric Dehareng, Tianhai Yan, Biometric Genetic, Green Technology, Natural resources institute Finland, Animal breeding and genetics group, Valorisation Agricole Production, Centre Wallon de Recherches Agronomiques (CRA-W), Scotland's Rural College (SRUC), Animal Nutrition Group, Wageningen University and Research [Wageningen] (WUR), Agricuture Chemical and bioengineering, Université de Liège, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Agri Food and Biosciences Institute, Department of Bioinformatics, Faculty Bioscience and Technology Food Agriculture and Environment, University of Teramo (UT), networks of COST Action FA1302 'Large-scale methane measurements on individual ruminants for genetic evaluations', COST Action of the European Union FA1302, Natural Resources Institute Finland, Scotland's Rural College (SCUR), Wageningen University and Research Centre [Wageningen] (WUR), Unité Mixte de Recherches sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique (INRA), Walloon Agricultural Research Center, Scotland’s Rural College, Wageningen University and Research Centre [Wageningen] ( WUR ), Unité Mixte de Recherches sur les Herbivores ( UMR 1213 Herbivores ), VetAgro Sup ( VAS ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Institut National de la Recherche Agronomique ( INRA ), and University of Teramo ( UT )
Subjects: 0301 basic medicine, Animal Nutrition, breeding, dairy cattle, enteric methane, management, proxy, Breeding, [ SDV.BA ] Life Sciences [q-bio]/Animal biology, Proxy (climate), Enteric methane, Milk yield, Statistics, gestion, méthane, Animal biology, 2. Zero hunger, Ecology, [SDV.BA]Life Sciences [q-bio]/Animal biology, 04 agricultural and veterinary sciences, Diervoeding, Management, Milk, Female, Methane, Animal Breeding & Genomics, Autre (Sciences du Vivant), [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Rumen, Biology, reproduction, 03 medical and health sciences, Biologie animale, Covariate, Genetics, Dairy cattle, Animals, Lactation, [ SDV.OT ] Life Sciences [q-bio]/Other [q-bio.OT], Fokkerij & Genomica, 0402 animal and dairy science, 040201 dairy & animal science, Proxy, 030104 developmental biology, bovin laitier, 13. Climate action, marsh gas, WIAS, Carbon footprint, Predictive power, Animal Science and Zoology, Cattle, Research setting, Food Science
Abstract: [object Object]Efforts to reduce the carbon footprint of milk produc- tion through selection and management of low-emitting cows require accurate and large-scale measurements of methane (CH 4 ) emissions from individual cows. Several techniques have been developed to measure CH 4 in a re- search setting but most are not suitable for large-scale recording on farm. Several groups have explored prox- ies (i.e., indicators or indirect traits) for CH 4 ; ideally these should be accurate, inexpensive, and amenable to being recorded individually on a large scale. This review (1) systematically describes the biological basis of current potential CH 4 proxies for dairy cattle; (2) assesses the accuracy and predictive power of single proxies and determines the added value of combining proxies; (3) provides a critical evaluation of the relative merit of the main proxies in terms of their simplicity, cost, accuracy, invasiveness, and throughput; and (4) discusses their suitability as selection traits. The prox- ies range from simple and low-cost measurements such as body weight and high-throughput milk mid-infrared spectroscopy (MIR) to more challenging measures such as rumen morphology, rumen metabolites, or microbi- ome profiling. Proxies based on rumen samples are gen- erally poor to moderately accurate predictors of CH 4 , and are costly and difficult to measure routinely on- farm. Proxies related to body weight or milk yield and composition, on the other hand, are relatively simple, inexpensive, and high throughput, and are easier to implement in practice. In particular, milk MIR, along with covariates such as lactation stage, are a promising option for prediction of CH 4 emission in dairy cows. No single proxy was found to accurately predict CH 4 , and combinations of 2 or more proxies are likely to be a better solution. Combining proxies can increase the accuracy of predictions by 15 to 35%, mainly because different proxies describe independent sources of varia- tion in CH 4 and one proxy can correct for shortcomings in the other(s). The most important applications of CH 4 proxies are in dairy cattle management and breed- ing for lower environmental impact. When breeding for traits of lower environmental impact, single or multiple proxies can be used as indirect criteria for the breeding objective, but care should be taken to avoid unfavor- able correlated responses. Finally, although combina- tions of proxies appear to provide the most accurate estimates of CH 4 , the greatest limitation today is the lack of robustness in their general applicability. Future efforts should therefore be directed toward developing combinations of proxies that are robust and applicable across diverse production systems and environments.
Published: 2017
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47. Identifying the main drivers for the production and maturation of Scots pine tracheids along a temperature gradient

Author: Henri E. Cuny, Jesse Read, Liisa Kulmala, Harri Mäkinen, Jaakko Hollmén, Pekka Nöjd, Cyrille B. K. Rathgeber, University of Helsinki, Aalto University, Natural Resources Institute Finland, Laboratoire d'Etudes des Ressources Forêt-Bois (LERFoB), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Swiss Federal Research Institute, Academy of Finland (257641, 277623), the Academy of Finland Finnish Centre of Excellence Program (272041), FPS COST Action FP1106 Studying Tree Responses to extreme Events: a SynthesiS (STReESS), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Department of Forest Sciences, Ecosystem processes (INAR Forest Sciences), Forest Ecology and Management, and Natural resources institute Finland
Subjects: 0106 biological sciences, 0301 basic medicine, Atmospheric Science, Gross primary production, [SDV]Life Sciences [q-bio], Black box modeling, 01 natural sciences, pinus sylvestris, Micro-core measurements, Predictive models, 03 medical and health sciences, WOOD FORMATION, OAK FOREST, Production (economics), XYLEM PHENOLOGY, DROUGHT, Xylogenesis, ta113, NET ECOSYSTEM PRODUCTIVITY, Global and Planetary Change, 4112 Forestry, biology, Ecology, Phenology, CONIFEROUS FORESTS, Scots pine, Northern Hemisphere, Primary production, NORWAY SPRUCE, Forestry, 15. Life on land, biology.organism_classification, Temperature gradient, 030104 developmental biology, Diameter growth, Air temperature, Tracheid, ONSET, GROWTH, Agronomy and Crop Science, 010606 plant biology & botany
Abstract: Even though studies monitoring the phenology and seasonal dynamics of the wood formation have accumulated for several conifer species across the Northern Hemisphere, the environmental control of tracheid production and differentiation is still fragmentary. With microcore and environmental data from six stands in Finland and France, we built auto-calibrated data-driven black box models for analyzing the most important factors controlling the tracheid production and maturation in Scots pine stem. In the best models, estimation was accurate to within a fraction of a tracheid per week. We compared the relative results of models built using different predictors, and found that the rate of tracheid production was partly regular but current and previous air temperature had influence on the sites in the middle of the temperature range and photosynthetic production in the coldest ones. The rate of mature cell production was more difficult to relate to the predictors but recent photosynthetic production was included in all successful models.
Published: 2017
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48. Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments

Author: Yulong Wang, Hiroe Yoshida, Liang Tang, Manuel Marcaida, Yuji Masutomi, Donald S. Gaydon, Roberto Confalonieri, Kenneth J. Boote, Hiroshi Nakagawa, Fulu Tao, Philippe Oriol, Lloyd T. Wilson, Yan Zhu, Samuel Buis, Simone Bregaglio, Xinyou Yin, Jeffrey T. Baker, Soora Naresh Kumar, Françoise Ruget, Lianxin Yang, Jianguo Zhu, Job Fugice, Yubin Yang, Upendra Singh, Tao Li, Toshihiro Hasegawa, Zhao Zhang, Tanguy Lafarge, Hitomi Wakatsuki, Daniel Wallach, Tamon Fumoto, Tohoku Agricultural Research Center, National Agriculture and Food Research Organization (NARO), International Rice Research Institute [Philippines] (IRRI), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Centre for Crop Systems Analysis, Wageningen University and Research [Wageningen] (WUR), National Engineering and Technology Center for Information Agriculture, China Agricultural University (CAU), Key Laboratory for Crop System Analysis and Decision Making, Ministry of Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, University of Florida [Gainesville] (UF), USDA-ARS : Agricultural Research Service, Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria (CREA), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Cassandra laboratory, University of Milan, International Fertilizer Development Center (IFDC), Institute for Agro-Environmental Sciences, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Indian Agricultural Research Institute (IARI), Amélioration génétique et adaptation des plantes méditerranéennes et tropicales (UMR AGAP), Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut National de la Recherche Agronomique (INRA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), College of Agriculture, Northeast Agricultural University [Harbin], Muscle Shoals, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Natural resources institute Finland, AGroécologie, Innovations, teRritoires (AGIR), Institut National de la Recherche Agronomique (INRA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Yangzhou University, Texas A&M University System, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University (BNU), State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Sciences, Chinese Academy of Sciences, National Agriculture and Food Research Organization, International Rice Research Institute, Wageningen University and Research Centre [Wageningen] (WUR), Chinese Agricultural University, University of Florida [Gainesville], United States Department of Agriculture - Agricultural Research Service, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria (CREA), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), Natural Resources Institute Finland, UMR : AGroécologie, Innovations, TeRritoires, Ecole Nationale Supérieure Agronomique de Toulouse, Beijing Normal University, Wageningen University and Research Centre [Wageningen] ( WUR ), University of Florida, Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria ( CREA ), Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes ( EMMAH ), Institut National de la Recherche Agronomique ( INRA ) -Université d'Avignon et des Pays de Vaucluse ( UAPV ), International Fertilizer Development Center ( IFDC ), Commonwealth Scientific and Industrial Research Organisation, Indian Agricultural Research Institute ( IARI ), UMR AGAP, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, AGAP, Université de Montpellier ( UM ), Institut National de la Recherche Agronomique ( INRA ), Institut National de Recherche en Informatique et en Automatique ( Inria ), Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Chinese Academy of Sciences ( CAS ), and Texas A and M AgriLIFE Research Center at Beaumont
Subjects: 010504 meteorology & atmospheric sciences, lcsh:Medicine, variabilité du rendement, diffusion de co2, 01 natural sciences, F50 - Anatomie et morphologie des plantes, Productivité, modèle de culture, F01 - Culture des plantes, Photosynthèse, lcsh:Science, Milieux et Changements globaux, riz, 2. Zero hunger, Multidisciplinary, élément fertilisant, Ecology, food and beverages, Feuille, Surface foliaire, 04 agricultural and veterinary sciences, PE&RC, [ SDE.MCG ] Environmental Sciences/Global Changes, Pratique culturale, Variation (linguistics), Rendement des cultures, Crops, Agricultural, Crop Physiology, Nitrogen, Climate Change, Yield (finance), comparaison de modèles, [SDE.MCG]Environmental Sciences/Global Changes, F60 - Physiologie et biochimie végétale, Climate change, Soil science, Teneur en azote, Models, Biological, Article, Fertilisation, growth chambers, Life Science, chambre de croissance, Management practices, 0105 earth and related environmental sciences, atmospheric carbon-dioxide, climate change, elevated CO2, environmental variation, leaf-area, oryza-sativa l, simulation model, seasonal change, crop production, biomass growth, Morphologie végétale, Méthode statistique, lcsh:R, Oryza, Modèle de simulation, Carbon Dioxide, Plant Leaves, F61 - Physiologie végétale - Nutrition, 13. Climate action, émission d'azote, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, lcsh:Q, adaptation au changement climatique, Cycle du carbone
Abstract: The CO2 fertilization effect is a major source of uncertainty in crop models for future yield forecasts, but coordinated efforts to determine the mechanisms of this uncertainty have been lacking. Here, we studied causes of uncertainty among 16 crop models in predicting rice yield in response to elevated [CO2] (E-[CO2]) by comparison to free-air CO2 enrichment (FACE) and chamber experiments. The model ensemble reproduced the experimental results well. However, yield prediction in response to E-[CO2] varied significantly among the rice models. The variation was not random: models that overestimated at one experiment simulated greater yield enhancements at the others. The variation was not associated with model structure or magnitude of photosynthetic response to E-[CO2] but was significantly associated with the predictions of leaf area. This suggests that modelled secondary effects of E-[CO2] on morphological development, primarily leaf area, are the sources of model uncertainty. Rice morphological development is conservative to carbon acquisition. Uncertainty will be reduced by incorporating this conservative nature of the morphological response to E-[CO2] into the models. Nitrogen levels, particularly under limited situations, make the prediction more uncertain. Improving models to account for [CO2] × N interactions is necessary to better evaluate management practices under climate change.
Published: 2017
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49. How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?

Author: Patrick Bertuzzi, Jon I. Lizaso, Jean-Louis Durand, Dennis Timlin, Julián Ramírez Villegas, Fulu Tao, Kurt Christian Kersebaum, Sabine I. Seidel, Lajpat R. Ahuja, Christoph Müller, Delphine Deryng, Amit Kumar Srivastava, Bruno Basso, James W. Jones, Heidi Webber, F. Ewert, Dominique Ripoche, Eckart Priesack, Christian Biernath, Cynthia Rosenzweig, Remy Manderscheid, Alex C. Ruane, Hans Johachim Weigel, Thomas Gaiser, Christian Baron, Claas Nendel, Tracy E. Twine, Enli Wang, Kenneth J. Boote, Saseendran S. Anapalli, Soo-Hyung Kim, Zhigan Zhao, Sebastian Gayler, Florian Heinlein, Albert Olioso, Reimund P. Rötter, Kenel Delusca, Unité de Recherche Pluridisciplinaire Prairies et Plantes Fourragères (P3F), Institut National de la Recherche Agronomique (INRA), University of Florida [Gainesville] (UF), CEIGRAM, Technical University of Madrid, Johann Heinrich von Thünen Institut, NASA Goddard Space Flight Center (GSFC), CPSRU, USDA-ARS : Agricultural Research Service, Department of Geological Sciences, University of Oregon [Eugene], Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Agroclim (AGROCLIM), Institute of Biochemical Plant Pathology, German Research Center for Environmental Health - Helmholtz Center München (GmbH), Computation Institute, Loyola University of Chicago, Institute of Crop Science and Resource Conservation [Bonn] (INRES), Rheinische Friedrich-Wilhelms-Universität Bonn, Institute of Soil Science and Land Evaluation, Section Biogeophysics, University of Hohenheim, School of Environmental and Forest Sciences, University of Washington [Seattle], Potsdam Institute for Climate Impact Research (PIK), Leibniz-Zentrum für Agrarlandschaftsforschung (ZALF), Leibniz Association, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), School of Earth and Environment (UWA), The University of Western Australia (UWA), International Center for Tropical Agriculture [Colombie] (CIAT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Natural resources institute Finland, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences [Beijing] (CAS), Crop Systems and Global Change Laboratory, Department of Soil, Water, & Climate, University of Minnesota System, Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Institut für Nutzpflanzenwissenschaften und Ressourcenschutz (INRES), China Agricultural University (CAU), University of Florida [Gainesville], Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), UE Agroclim (UE AGROCLIM), Institute of Crop Science and Resource Conservation (INRES), CGIAR Research Program on Climate Change Colombia International Center for Tropical Agriculture (CIAT), Agriculture and Food Security (CCAFS), Natural Resources Institute Finland, China Agricultural University, and Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 010504 meteorology & atmospheric sciences, Water supply, Plant Science, 01 natural sciences, modèle de culture, Atmospheric carbon dioxide concentration, Evapotranspiration, Zea Mays, Atmospheric Carbon Dioxide Concentration, Multi-model Ensemble, Stomata Conductance, Grain Number, Water Use, Photosynthèse, Transpiration, 2. Zero hunger, Multi-model ensemble, U10 - Informatique, mathématiques et statistiques, 04 agricultural and veterinary sciences, Rendement des cultures, Stomatal conductance, Irrigation, Grain number, Soil Science, approvisionnement eau, Zea mays, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Leaf area index, weather data, 0105 earth and related environmental sciences, carbonic anhydride, business.industry, culture de mais, Modèle de simulation, 15. Life on land, Évapotranspiration, donnée météorologique, F61 - Physiologie végétale - Nutrition, Agronomy, 13. Climate action, Soil water, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, business, estimation de rendement, Agronomy and Crop Science, Water use, concentration atmosphérique, Dioxyde de carbone
Abstract: Conference: International Crop Modelling Symposium on Crop Modelling for Agriculture and Food Security under Global Change (iCropM) - Proceedings Paper Berlin, GERMANY 2016; This study assesses the ability of 21 crop models to capture the impact of elevated CO2 concentration ([CO2]) on maize yield and water use as measured in a 2-year Free Air Carbon dioxide Enrichment experiment conducted at the Thünen Institute in Braunschweig, Germany (Manderscheid et al., 2014). Data for ambient [CO2] and irrigated treatments were provided to the 21 models for calibrating plant traits, including weather, soil and management data as well as yield, grain number, above ground biomass, leaf area index, nitrogen concentration in biomass and grain, water use and soil water content. Models differed in their representation of carbon assimilation and evapotranspiration processes. The models reproduced the absence of yield response to elevated [CO2] under well-watered conditions, as well as the impact of water deficit at ambient [CO2], with 50% of models within a range of +/−1 Mg ha−1 around the mean. The bias of the median of the 21 models was less than 1 Mg ha−1. However under water deficit in one of the two years, the models captured only 30% of the exceptionally high [CO2] enhancement on yield observed. Furthermore the ensemble of models was unable to simulate the very low soil water content at anthesis and the increase of soil water and grain number brought about by the elevated [CO2] under dry conditions. Overall, we found models with explicit stomatal control on transpiration tended to perform better. Our results highlight the need for model improvement with respect to simulating transpirational water use and its impact on water status during the kernel-set phase.
Published: 2017
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50. Chapitre 4 - Modeling Biomass Logistics

Author: Annevelink, Bert, Anttila, Perttu, Väätäinen, Kari, Gabrielle, Benoit, García-Galindo, Daniel, Leduc, Sylvain, Staritsky, Igor, WFBR, Natural resources institute Finland, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Paris-Saclay, Research Centre for Energy Resources and Consumption (circe), International Institute for Applied Systems Analysis (IIASA), Wageningen Environmental Research (Alterra), and Natural Resources Institute Finland
Subjects: Biomass supply chain, [SDV]Life Sciences [q-bio], design tools, simulation, optimization, logistical component, logistical concept
Abstract: This chapter will presents the current status and the main challenges of biomass logistics. Logistical aspects of the biomass supply chain will be delineated. It further provides a thorough description of different methodologies to design biomass value chains combined with relevant logistical assessment criteria. This includes also descriptions for how to integrate the various logistical components in modeling logistical tools that are currently available to implement the described methodologies. The chapter finishes with a set of case studies based on local data and made with these logistical tools.
Published: 2017
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