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9 results on '"Carbon-Cycle Feedbacks"'

1. Projected 21st century decrease in marine productivity: a multi-model analysis

Author

Steinacher, M., Joos, F., Frolicher, T. L, Bopp, L., Cadule, P., Cocco, V., Doney, S. C, Gehlen, M., Lindsay, K., Moore, J. K, Schneider, B., and Segschneider, J.

Subjects
general-circulation model, carbon-cycle feedbacks, oceanic nitrous-oxide, climate system model, export production, ecosystem model, interannual variability, biogeochemistry models, potential impact, dust deposition
Abstract

Changes in marine net primary productivity (PP) and export of particulate organic carbon (EP) are projected over the 21st century with four global coupled carbon cycle-climate models. These include representations of marine ecosystems and the carbon cycle of different structure and complexity. All four models show a decrease in global mean PP and EP between 2 and 20% by 2100 relative to preindustrial conditions, for the SRES A2 emission scenario. Two different regimes for productivity changes are consistently identified in all models. The first chain of mechanisms is dominant in the low- and mid-latitude ocean and in the North Atlantic: reduced input of macro-nutrients into the euphotic zone related to enhanced stratification, reduced mixed layer depth, and slowed circulation causes a decrease in macro-nutrient concentrations and in PP and EP. The second regime is projected for parts of the Southern Ocean: an alleviation of light and/or temperature limitation leads to an increase in PP and EP as productivity is fueled by a sustained nutrient input. A region of disagreement among the models is the Arctic, where three models project an increase in PP while one model projects a decrease. Projected changes in seasonal and interannual variability are modest in most regions. Regional model skill metrics are proposed to generate multi-model mean fields that show an improved skill in representing observation-based estimates compared to a simple multi-model average. Model results are compared to recent productivity projections with three different algorithms, usually applied to infer net primary production from satellite observations.

Published
2010

3. Long-term thermal sensitivity of Earth's tropical forests

Author

Bruno Herault, Peter J. Van Der Meer, Jean-François Bastin, Aurora Levesley, Michael D. Swaine, Rodolfo Vásquez Martínez, Martin Dančák, Matt Bradford, Frans Bongers, Stuart J. Davies, Reuben Nilus, Adriano José Nogueira Lima, Lip Khoon Kho, Edmar Almeida de Oliveira, Joey Talbot, Richard F. Preziosi, Jagoba Malumbres-Olarte, James A. Comiskey, Thalès de Haulleville, José Luís Camargo, Terese B. Hart, Juliana Schietti, Peter S. Ashton, Thomas E. Lovejoy, Ophelia Wang, Kanehiro Kitayama, Francis Q. Brearley, Peter van der Hout, Amy C. Bennett, Janvier Lisingo, Luis Valenzuela Gamarra, Lily Rodriguez Bayona, Zorayda Restrepo Correa, Jérôme Chave, Connie J. Clark, Christopher Baraloto, Gerardo Aymard, Serge K. Begne, Kofi Affum-Baffoe, Abel Monteagudo-Mendoza, Geertje M. F. van der Heijden, Fernanda Coelho de Souza, Timothy R. Baker, Rahayu Sukmaria Sukri, Julie Peacock, Hermann Taedoumg, Simon L. Lewis, Yahn Carlos Soto Shareva, Greta C. Dargie, Murielle Simo-Droissart, David Harris, Faizah Metali, Hans ter Steege, Richard Lowe, Géraldine Derroire, Benoit Burban, Camila Silva Valeria, Martin Svátek, Wannes Hubau, Sarah A. Batterman, Vincent A. Vos, Elizabeth Kearsley, Peter M. Umunay, Martin J. P. Sullivan, Flávia R. C. Costa, Hans Verbeeck, Maria Cristina Peñuela Mora, John R. Poulsen, Simon Willcock, Simone Aparecida Vieira, Jean-Louis Doucet, Foster Brown, Yadvinder Malhi, Luisa Fernanda Duque, Ronald Vernimmen, Miguel E. Leal, Alan Hamilton, Martin Gilpin, Colin R. Maycock, Carlos Cerón, Radim Hédl, Oliver L. Phillips, Walter Huaraca Huasco, Jon C. Lovett, Beatriz Schwantes Marimon, Roderick Zagt, Ted R. Feldpausch, Gabriela Lopez-Gonzalez, Ima Célia Guimarães Vieira, Pascal Boeckx, Roel J. W. Brienen, Marcelo F. Simon, Keith C. Hamer, Alberto Vicentini, Corneille E. N. Ewango, Clément Stahl, Javier Silva Espejo, Ana Andrade, Anand Roopsind, Erika Berenguer, Pieter A. Zuidema, Vianet Mihindou, Murray Collins, Simone Matias Reis, Emilio Vilanova Torre, Kathryn J. Jeffery, Marie Noël Kamdem Djuikouo, Terry Brncic, Percy Núñez Vargas, John Terborgh, Paulo S. Morandi, Bonaventure Sonké, Jan Bogaert, William E. Magnusson, Lilian Blanc, Terry L. Erwin, Ervan Rutishauser, Anthony Di Fiore, Isau Huamantupa-Chuquimaco, Edward T. A. Mitchard, Massiel Corrales Medina, Nicholas J. Berry, Juliana Stropp, Maureen Playfair, Luzmila Arroyo, Douglas Sheil, Armando Torres-Lezama, David A. Neill, Sean C. Thomas, Eric Arets, Ernest G. Foli, Lola da Costa, Ricardo Keichi Umetsu, Lan Qie, James Singh, Lise Zemagho, Agustín Rudas, Richard B. Primack, Jan Reitsma, Annette Hladik, Alexander K. Koch, Colin A. Pendry, Walter A. Palacios, Sabina Cerruto Ribeiro, Nicolas Labrière, Fernando Elias, Eric Chezeaux, William Milliken, Manuel Gloor, Romeo Ekoungoulou, Jefferson S. Hall, Henrique E. M. Nascimento, Susan G. Laurance, Axel Dalberg Poulsen, Marcos Silveira, Carolina V. Castilho, Plínio Barbosa de Camargo, Eurídice N. Honorio Coronado, Kamariah Abu Salim, Joeri A. Zwerts, Marcelo Brilhante de Medeiros, Jos Barlow, Georgia Pickavance, Joice Ferreira, Mark van Nieuwstadt, Jorcely Barroso, Andrew R. Marshall, Miguel Alexiades, Lindsay F. Banin, Terry Sunderland, Lourens Poorter, Alejandro Araujo-Murakami, Varun Swamy, Rafael Herrera, Hans Beeckman, Gerardo Flores Llampazo, Shin-ichiro Aiba, Adriane Esquivel-Muelbert, Michelle Kalamandeen, Adriana Prieto, Ben Hur Marimon, Casimiro Mendoza, Victor Chama Moscoso, Eliana Jimenez-Rojas, Hirma Ramírez-Angulo, Maxime Réjou-Méchain, Vincent Droissart, Nigel C. A. Pitman, Hannah L. Mossman, Everton Cristo de Almeida, Fernando Cornejo Valverde, Ângelo Gilberto Manzatto, Aurélie Dourdain, Luiz E. O. C. Aragão, Raquel Thomas, David W. Galbraith, Kenneth R. Young, Nallaret Davila Cardozo, Timothy J. Killeen, Rafael de Paiva Salomão, Bente B. Klitgaard, James Taplin, Damien Bonal, Karina Melgaço, William F. Laurance, Jason Vleminckx, Esteban Alvarez Dávila, Verginia Wortel, Richarlly da Costa Silva, Thaiane Rodrigues de Sousa, Sophie Fauset, Nadir Pallqui Camacho, Wendeson Castro, Toby R. Marthews, Fabricio Beggiato Baccaro, John T. Woods, David Taylor, Patricia Alvarez Loayza, Andrew Ford, Niro Higuchi, Aida Cuni Sanchez, Aline Pontes Lopes, Laszlo Nagy, John Pipoly, Lee J. T. White, Jhon del Aguila Pasquel, European Research Council, European Commission, Royal Society (UK), Leverhulme Trust, Gordon and Betty Moore Foundation, David and Lucile Packard Foundation, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Agence Nationale de la Recherche (France), Missouri Botanical Garden, Smithsonian Institution, Wildlife Conservation Society, National Geographic Society, Centre for International Forestry Research, Agence Nationale Des Parcs Nationaux (Gabon), University of Leeds, Mensurat Unit, Forestry Research Institute of Ghana, Centro de Pesquisa Agroflorestal de Roraima, Brazilian Agricultural Research Corporation (Embrapa), Sch Geog, University of Nottingham, Department of Biology, Higher Teachers Training College (HTTC), Université deYaoundé I, School of Geography [Leeds], University of Edinburgh, School of Geography and the Environment, Environmental Change Institute, University of Oxford [Oxford], Grad Sch Sci & Engn, Kagoshima University, University of Kent [Canterbury], Universidade Federal do Mato Grosso (UFMT), Universidad Nacional de Colombia, Duke University [Durham], Instituto Nacional de Pesquisas da Amazônia (INPA), University of Campinas [Campinas] (UNICAMP), National Institute for Space Research [Sao José dos Campos] (INPE), Universidad Autonoma Gabriel René Moreno (UAGRM), Wageningen University and Research [Wageningen] (WUR), Dept Organism & Evolutionary Biol, Harvard University [Cambridge], Ecologie des forêts de Guyane (ECOFOG), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Université des Antilles et de la Guyane (UAG)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Universidade de São Paulo (USP), Universidade Federal do Acre (UFAC), Research Unit of Landscape Ecology and Plant Production Systems, Université libre de Bruxelles (ULB), School of Engineering and Science, Jacobs University [Bremen], Lancaster Environment Centre, Lancaster University, Sch Geosci, Laboratory of Applied Physical Chemistry, Universiteit Gent = Ghent University [Belgium] (UGENT), Biodiversité et Paysage, Université de Liège - Gembloux, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Forest Ecol & Forest Management Grp, CSIRO Land and Water, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Woods Hole Research Center, Partenaires INRAE, Herbario Alfredo Paredes, Universidad Agraria del Ecuador, Universidad Nacional de San Antonio Abad del Cusco (UNSAAC), Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Rougier Gabon, Andes to Amazon Biodiversity Program, Federal University of Para - Universidade Federal do Para [Belem - Brésil], Smithsonian Tropical Research Institute, Universidad Nacional de la Amazonía Peruana [Loreto, Perou] (UNAP), AgroParisTech, University of Texas at Austin [Austin], Université de Liège, 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), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), 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), Laboratoire des Milieux Désordonnés et Hétérogènes (LMDH), Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Commonwealth Scientific & Industrial Research Organisation (CSIRO), Royal Botanic Gardens, Czech Academy of Sciences [Prague] (CAS), Commissariat général du Plan (CGP), Premier ministre, Instituto Nacional de Pequisas da Amazônia, Instituto National de Pequisas da Amazonia Brazil, Éco-Anthropologie (EAE), Muséum national d'Histoire naturelle (MNHN)-Centre National de la Recherche Scientifique (CNRS), Agence Nationale des Parcs Nationaux, Agence Nationale des Parcs Nationaux, BP 30 379 Libreville, Gabon, Malaysian Palm Oil Board, Kyoto University, Institute of Inorganic and Analytical Chemistry, Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], James Cook University (JCU), Laboratoire d'Etude de l'Apprentissage et du Développement [Dijon] (LEAD), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB), Coordenac Bao de Pesquisas em Ecologia, Universidade do Estado de Mato Grosso (UNEMAT), University of Mary Washington, Chercheur indépendant, Royal Botanic Garden , Kew, Department of Biochemistry and Molecular Biology, Medical and Health Science Center, Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), Universidad Estatal Amazonica, Forest Research Centre (FRC), Forest Ecology and Forest Management Group, Natural History Museum [Oslo], University of Oslo (UiO), Bur Waarderburg, Iwokrama International Centre for Rainforest Conservation and Development, CarboForExpert, Museu Paraense Emílio Goeldi [Belém, Brésil] (MPEG), Center for International Forestry Research (CIFOR), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), University of Yaoundé [Cameroun], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute of Biological and Environmental Sciences, School of Biological Sciences, University of Aberdeen, Plant Systemat & Ecol Lab, Université de Yaoundé I, Department of Neurology, Great Ormond Street Hospital for Children [London] (GOSH), Naturalis Biodiversity Center [Leiden], Division of Marine Science and Conservation, Nicholas School of the Environment, Instituto de Investigaciones para el Desarrollo Forestal, Universidad de los Andes [Bogota] (UNIANDES), University of Wisconsin - Milwaukee, Van der Hout Forestry Consulting, University Medical Center Groningen [Groningen] (UMCG), Computational & Applied Vegetation Ecology (CAVElab), Department of Integrative Biology [Berkeley] (IB), University of California [Berkeley], University of California-University of California, Sch Earth Sci & Environm Sustainabil, Northern Arizona University [Flagstaff], University of Stirling, Biol Sci, Liverpool John Moore University (ljmu), Biodiversity Department, Center for Agricultural Research in Suriname (CELOS), Sub Ecology and Biodiversity, Sub Animal Ecology, Ecology and Biodiversity, Animal Ecology, and Systems Ecology

Subjects
0106 biological sciences, Tropical trees, Hot Temperature, 010504 meteorology & atmospheric sciences, Earth, Planet, Climate, Acclimatization, Tropical forest carbon stocks, Bos- en Landschapsecologie, Growth, Forests, Atmospheric sciences, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, Trees, Tropical climate, SDG 13 - Climate Action, Forest and Landscape Ecology, Biomass, Photosynthesis, Hectare, Productivity, Biomass (ecology), Multidisciplinary, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, Wood, Productivity (ecology), Vegetatie, Bos- en Landschapsecologie, C180 Ecology, Tree, Leaf Respiration, Carbon-Cycle Feedbacks, Climate Change, Climate change and forestry, Climate change, 010603 evolutionary biology, Carbon cycle, Carbon Cycle, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Life Science, Bosecologie en Bosbeheer, Vegetatie, 0105 earth and related environmental sciences, Tropical Climate, Vegetation, Global warming, Tropics, 15. Life on land, Forest Ecology and Forest Management, Carbon, CO₂ Fertilization, 13. Climate action, Environmental science, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Acclimation
Abstract

The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (-9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth's climate., Our plot monitoring networks havebeen supported by multiple grants from a large number of funding bodies: European Research Council; Natural Environment Research Council; European Union’s Fifth, Sixth, and Seventh Framework Programme; Royal Society, Leverhulme Trust; Gordon and Betty Moore Foundation; David and Lucile Packard Foundation; State of São Paulo Research Foundation (FAPESP); National Council for Science and Technology Development of Brazil (CNPq); Agence Nationale de la Recherche; Conservation International; Missouri Botanical Garden; Smithsonian Institution; Wildlife Conservation Society; National Geographic Society; Centre for International Forestry; and Gabon’s National Park Agency.

Published
2020
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4. Effects of fire and <scp>CO</scp> 2 on biogeography and primary production in glacial and modern climates

Author

Maria Martin Calvo, Iain Colin Prentice, Commission of the European Communities, and AXA Research Fund

Subjects
biomass burning, Physiology, Climate Change, CARBON-CYCLE FEEDBACKS, Plant Biology & Botany, Biome, GLOBAL VEGETATION MODELS, Climate change, Plant Science, Atmospheric sciences, fire-climate-CO2 interactions, Fires, FUTURE, DISTRIBUTIONS, Ice Cover, Ecosystem, Glacial period, CO2 fertilization, TEMPERATURE, EMISSIONS, GROWTH-RESPONSES, Science & Technology, vegetation distribution, Ecology, EARTH SYSTEM, Plant Sciences, Primary production, Last Glacial Maximum, Vegetation, Carbon Dioxide, Models, Theoretical, 06 Biological Sciences, 15. Life on land, SIMULATIONS, LOW ATMOSPHERIC CO2, Earth system science, 13. Climate action, Environmental science, 07 Agricultural And Veterinary Sciences, Life Sciences & Biomedicine, fuel, fire, primary production
Abstract

Summary Dynamic global vegetation models (DGVMs) can disentangle causes and effects in the control of vegetation and fire. We used a DGVM to analyse climate, CO2 and fire influences on biome distribution and net primary production (NPP) in last glacial maximum (LGM) and pre-industrial (PI) times. The Land surface Processes and eXchanges (LPX) DGVM was run in a factorial design with fire ‘off’ or ‘on’, CO2 at LGM (185 ppm) or PI (280 ppm) concentrations, and LGM (modelled) or recent climates. Results were analysed by Stein–Alpert decomposition to separate primary effects from synergies. Fire removal causes forests to expand and global NPP to increase slightly. Low CO2 greatly reduces forest area (dramatically in a PI climate; realistically under an LGM climate) and global NPP. NPP under an LGM climate was reduced by a quarter as a result of low CO2. The reduction in global NPP was smaller at low temperatures, but greater in the presence of fire. Global NPP is controlled by climate and CO2 directly through photosynthesis, but also through biome distribution, which is strongly influenced by fire. Future vegetation simulations will need to consider the coupled responses of vegetation and fire to CO2 and climate.

Published
2015
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5. Research priorities in land use and land-cover change for the Earth System and Integrated Assessment Modelling

Subjects
atmospheric co2, Laboratory of Geo-information Science and Remote Sensing, global vegetation models, increase, carbon-cycle feedbacks, climate-change, 21st-century, Laboratorium voor Geo-informatiekunde en Remote Sensing, surface albedo, PE&RC, impacts, nitrogen, energy
Abstract

This special issue has highlighted recent and innovative methods and results that integrate observations and modelling analyses of regional to global aspect of biophysical and biogeochemical interactions of land-cover change with the climate system. Both the Earth System and the Integrated Assessment modeling communities recognize the importance of an accurate representation of land use and land-cover change to understand and quantify the interactions and feedbacks with the climate and socio-economic systems, respectively. To date, cooperation between these communities has been limited. Based on common interests, this work discusses research priorities in representing land use and land-cover change for improved collaboration across modelling, observing and measurement communities. Major research topics in land use and land-cover change are those that help us better understand (1) the interaction of land use and land cover with the climate system (e.g. carbon cycle feedbacks), (2) the provision of goods and ecosystem services by terrestrial (natural and anthropogenic) land-cover types (e.g. food production), (3) land use and management decisions and (4) opportunities and limitations for managing climate change (for both mitigation and adaptation strategies)

Published
2010
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6. Investigation of mechanistic formulations depicting phytoplankton dynamics for models of marine pelagic ecosystems and description of a new model

Author

Bernard Quéguiner, Christel Pinazo, Frédéric Diaz, Vincent Faure, Melika Baklouti, CYBELE, Institut méditerranéen d'océanologie (MIO), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Toulon (UTLN), Institut méditerranéen d'océanologie ( MIO ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Université de Toulon ( UTLN ) -Centre National de la Recherche Scientifique ( CNRS ) -Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Université de Toulon ( UTLN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche pour le Développement ( IRD ) -Aix Marseille Université ( AMU ) -Université de Toulon ( UTLN ) -Centre National de la Recherche Scientifique ( CNRS ), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), and Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, PHOTOSYNTHESIS-IRRADIANCE RESPONSE, CHLOROPHYLL FLUORESCENCE, 0106 biological sciences, Biogeochemical cycle, Future studies, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, CARBON-CYCLE FEEDBACKS, ORGANIC NITROGEN RELEASE, Aquatic Science, Biology, 01 natural sciences, DINOFLAGELLATE PROROCENTRUM-MINIMUM, OCEANIC MIXED-LAYER, PHOTOSYSTEM-II, Phytoplankton, mechanistic formulations, Ecosystem, Marine ecosystem, 14. Life underwater, REPETITION-RATE FLUOROMETER, 0105 earth and related environmental sciences, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Nitrate uptake, 010604 marine biology & hydrobiology, NITRATE UPTAKE, Algal growth, Geology, Pelagic zone, [ SDE.MCG ] Environmental Sciences/Global Changes, Oceanography, 13. Climate action, pelagic marine ecosystems, phytoplankton, ecological modelling, NUTRIENT-UPTAKE
Abstract

International audience; Realistic modelling of marine ecosystems is necessary for improving our understanding of the ocean's biogeochemical state and for predicting their response to anthropic perturbations. An essential step in achieving this task is the use of mechanistic formulations to describe the biogeochemical processes involved in the dynamics of marine pelagic ecosystems. This study provides a review on some modelling strategies for some of the key processes involved in the dynamics of phytoplankton. It encompasses the most advanced work in terms of mechanistic understanding and, therefore, mainly deals with photosynthesis (including photoacclimation and photoinhibition), respiration, and nutrient uptake (including multi-limitation of algal growth by nutrients). We highlight, that in many ecosystem models, phytoplankton processes are still described more or less empirically, mainly due to a lack of biochemical knowledge, or if a mechanistic formulation exists, the parameters are often difficult to assess experimentally. As a result of this investigation, a preliminary structure for a generic phytoplankton model is delivered in the last section of this paper. This model includes a mechanistic representation of photosynthesis/photoinhibition based on photosystem II status, as well as new formulations for photoacclimation and dissolved organic matter exudation processes. The model sensitivity analysis with regard to its parameters and a comparison with chemostat experimental data are presented in a companion paper [Baklouti, M., Faure, V., Pawlowski, L., Sciandra, A., 2006. Investigation and sensitivity analysis of a mechanistic phytoplankton model implemented in a new modular numerical tool (Eco3M) dedicated to biogeochemical modelling. Progress in Oceanography]. Finally, this new class of multi-element, multi-species phytoplankton models will provide the basis for future studies on ecosystem modelling. (C) 2006 Elsevier Ltd. All rights reserved.

Published
2006
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7. Mechanisms of water supply and vegetation demand govern the seasonality and magnitude of evapotranspiration in Amazonia and Cerrado

Author

Hans Verbeeck, David W. Galbraith, Gonzalo Miguez-Macho, Humberto Ribeiro da Rocha, Ben Poulter, Zong-Liang Yang, Ian Baker, Scott R. Saleska, Mingjie Shi, Lindsey E. Gulden, Bart Kruijt, Natalia Restrepo-Coupe, Xubin Zeng, Bart van den Hurk, Naomi M. Levine, Bradley O. Christoffersen, Kazuhito Ichii, Phillippe Ciais, Luis Gustavo Gonçalves de Gonçalves, A. K. Sahoo, Xiaodan Guan, Bruno Paraluppi Cestaro, Joshua B. Fisher, Atul K. Jain, Alessandro Araújo, Jordan Borak, Michel Nobre Muza, Koichi Sakaguchi, Hewlley Maria Acioli Imbuzeiro, Débora Regina Roberti, Kevin Schaefer, M. Altaf Arain, Antonio O. Manzi, Celso von Randow, Marcos Heil Costa, University of Arizona, McMaster University [Hamilton, Ontario], Colorado State University [Fort Collins] (CSU), Universidade Federal de São Paulo, 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), ICOS-ATC (ICOS-ATC), 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), University of Oxford [Oxford], University of Edinburgh, Royal Netherlands Meteorological Institute (KNMI), Chiba University, Department of Atmospheric Sciences [Urbana], University of Illinois at Urbana-Champaign [Urbana], University of Illinois System-University of Illinois System, University of Southern California (USC), Montana State University (MSU), Pacific Northwest National Laboratory (PNNL), University of California [Los Angeles] (UCLA), University of California, Alterra [Wageningen] (ESS-CC), Centre for Water and Climate [Wageningen], Universidade de São Paulo (USP), Instituto Nacional de Pesquisas Espaciais (INPE), Ministério da Ciência, Tecnologia e Inovação, 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), University of Oxford, University of California (UC), and Universidade de São Paulo = University of São Paulo (USP)

Subjects
Biosphere model, Atmospheric Science, Stomatal conductance, 010504 meteorology & atmospheric sciences, environment simulator jules, 0207 environmental engineering, Eddy covariance, 02 engineering and technology, climate model, 01 natural sciences, Earth System Science, Hydrology (agriculture), Evapotranspiration, Dry season, Meteorology & Atmospheric Sciences, Water-use efficiency, 020701 environmental engineering, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, AMAZÔNIA, 0105 earth and related environmental sciences, Hydrology, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Global and Planetary Change, regional evapotranspiration, biosphere model, Forestry, boundary-layer, Vegetation, 15. Life on land, land-surface scheme, Climate Resilience, atmosphere interactions, 13. Climate action, Klimaatbestendigheid, stomatal conductance, model description, carbon-cycle feedbacks, Environmental science, Leerstoelgroep Aardsysteemkunde, Agronomy and Crop Science
Abstract

Evapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially during periods of seasonal water deficits In this study, we address two main questions: First, how do mechanisms of water supply (indicated by rooting depth and groundwater) and vegetation water demand (indicated by stomatal conductance and intrinsic water use efficiency) control evapotranspiration (E) along broad gradients of climate and vegetation from equatorial Amazonia to Cerrado, and second, how do these inferred mechanisms of supply and demand compare to those employed by a suite of ecosystem models? We used a network of eddy covariance towers in Brazil coupled with ancillary measurements to address these questions With respect to the magnitude and seasonality of E, models have much improved in equatorial tropical forests by eliminating most dry season water limitation, diverge in performance in transitional forests where seasonal water deficits are greater, and mostly capture the observed seasonal depressions in E at Cerrado However, many models depended universally on either deep roots or groundwater to mitigate dry season water deficits, the relative importance of which we found does not vary as a simple function of climate or vegetation In addition, canopy stomatal conductance (gs) regulates dry season vegetation demand for water at all except the wettest sites even as the seasonal cycle of E follows that of net radiation In contrast, some models simulated no seasonality in gs, even while matching the observed seasonal cycle of E. We suggest that canopy dynamics mediated by leaf phenology may play a significant role in such seasonality, a process poorly represented in models Model bias in gs and E, in turn, was related to biases arising from the simulated light response (gross primary productivity, GPP) or the intrinsic water use efficiency of photosynthesis (iWUE). We identified deficiencies in models which would not otherwise be apparent based on a simple comparison of simulated and observed rates of E. While some deficiencies can be remedied by parameter tuning, in most models they highlight the need for continued process development of belowground hydrology and in particular, the biological processes of root dynamics and leaf phenology, which via their controls on E, mediate vegetation-climate feedbacks in the tropics. © 2014 Elsevier B.V.

Published
2014
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8. Projected 21st century decrease in marine productivity: a multi-model analysis

Author

Scott C. Doney, Fortunat Joos, Valentina Cocco, Thomas L. Frölicher, J. K. Moore, Marco Steinacher, Marion Gehlen, Patricia Cadule, Joachim Segschneider, Birgit Schneider, Keith Lindsay, Laurent Bopp, Climate and Environmental Physics [Bern] (CEP), Physikalisches Institut [Bern], Universität Bern [Bern]-Universität Bern [Bern], 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), Woods Hole Oceanographic Institution (WHOI), Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID), 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), National Center for Atmospheric Research [Boulder] (NCAR), Department of Earth System Science [Irvine] (ESS), University of California [Irvine] (UCI), University of California-University of California, Institute of Geosciences [Kiel], Christian-Albrechts-Universität zu Kiel (CAU), Max-Planck-Institut für Meteorologie (MPI-M), Max-Planck-Gesellschaft, Universität Bern [Bern] (UNIBE)-Universität Bern [Bern] (UNIBE), 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), University of California [Irvine] (UC Irvine), and University of California (UC)-University of California (UC)

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, interannual variability, Mixed layer, 530 Physics, oceanic nitrous-oxide, lcsh:Life, ecosystem model, Stratification (water), general-circulation model, 01 natural sciences, Carbon cycle, Ecosystem model, lcsh:QH540-549.5, Physical Sciences and Mathematics, dust deposition, Marine ecosystem, Photic zone, 14. Life underwater, export production, biogeochemistry models, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, Productivity, Ecology, Evolution, Behavior and Systematics, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Earth-Surface Processes, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, 010604 marine biology & hydrobiology, lcsh:QE1-996.5, Primary production, lcsh:Geology, lcsh:QH501-531, 13. Climate action, Climatology, carbon-cycle feedbacks, potential impact, Environmental science, lcsh:Ecology, climate system model
Abstract

Changes in marine net primary productivity (PP) and export of particulate organic carbon (EP) are projected over the 21st century with four global coupled carbon cycle-climate models. These include representations of marine ecosystems and the carbon cycle of different structure and complexity. All four models show a decrease in global mean PP and EP between 2 and 20% by 2100 relative to preindustrial conditions, for the SRES A2 emission scenario. Two different regimes for productivity changes are consistently identified in all models. The first chain of mechanisms is dominant in the low- and mid-latitude ocean and in the North Atlantic: reduced input of macro-nutrients into the euphotic zone related to enhanced stratification, reduced mixed layer depth, and slowed circulation causes a decrease in macro-nutrient concentrations and in PP and EP. The second regime is projected for parts of the Southern Ocean: an alleviation of light and/or temperature limitation leads to an increase in PP and EP as productivity is fueled by a sustained nutrient input. A region of disagreement among the models is the Arctic, where three models project an increase in PP while one model projects a decrease. Projected changes in seasonal and interannual variability are modest in most regions. Regional model skill metrics are proposed to generate multi-model mean fields that show an improved skill in representing observation-based estimates compared to a simple multi-model average. Model results are compared to recent productivity projections with three different algorithms, usually applied to infer net primary production from satellite observations.

Published
2010
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9. Research priorities in land use and land-cover change for the Earth System and Integrated Assessment Modelling

Author

Hibbard, K., Janetos, A., van Vuuren, D., Pongratz, J., Rose, S., Betts, R., Herold, M., and Feddema, J.

Subjects
atmospheric co2, surface albedo, PE&RC, nitrogen, Laboratory of Geo-information Science and Remote Sensing, global vegetation models, increase, carbon-cycle feedbacks, climate-change, 21st-century, Laboratorium voor Geo-informatiekunde en Remote Sensing, impacts, energy
Abstract

This special issue has highlighted recent and innovative methods and results that integrate observations and modelling analyses of regional to global aspect of biophysical and biogeochemical interactions of land-cover change with the climate system. Both the Earth System and the Integrated Assessment modeling communities recognize the importance of an accurate representation of land use and land-cover change to understand and quantify the interactions and feedbacks with the climate and socio-economic systems, respectively. To date, cooperation between these communities has been limited. Based on common interests, this work discusses research priorities in representing land use and land-cover change for improved collaboration across modelling, observing and measurement communities. Major research topics in land use and land-cover change are those that help us better understand (1) the interaction of land use and land cover with the climate system (e.g. carbon cycle feedbacks), (2) the provision of goods and ecosystem services by terrestrial (natural and anthropogenic) land-cover types (e.g. food production), (3) land use and management decisions and (4) opportunities and limitations for managing climate change (for both mitigation and adaptation strategies)

Published
2010

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