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17 results on '"Gielen, Bert"'

1. ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe

Author

Camino-Serrano, Marta, Guenet, Bertrand, Luyssaert, Sebastiaan, Ciais, Philippe, Bastrikov, Vladislav, De Vos, Bruno, Gielen, Bert, Gleixner, Gerd, Jornet-Puig, Albert, Kaiser, Klaus, Kothawala, Dolly, Lauerwald, Ronny, Peñuelas, Josep, Schrumpf, Marion, Vicca, Sara, Vuichard, Nicolas, Walmsley, David, Janssens, Ivan A., Centre de Recerca Ecològica i Aplicacions Forestals, Univ. Autònoma de Barcelona ( CREAF ), université de Barcelone, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] ( LSCE ), Université de Versailles Saint-Quentin-en-Yvelines ( UVSQ ) -Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Universiteit Antwerpen [Antwerpen], Max Planck Institute for Biogeochemistry, Max-Planck-Institut, Soil Sciences, Martin Luther University Halle-Wittenberg, Université Libre de Bruxelles [Bruxelles] ( ULB ), Global Ecology Unit CREAF-CEAB-CSIC, Universitat Autònoma de Barcelona [Barcelona] ( UAB ), Department Processes, Research Group of Plant and Vegetation Ecology, University of Antwerpa, Department of Biology, University of Antwerp ( UA ), Centre de Recerca Ecològica i Aplicacions Forestals, Univ. Autònoma de Barcelona (CREAF), 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), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), 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), ICOS-ATC (ICOS-ATC), Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft, Martin-Luther-Universität Halle Wittenberg (MLU), Université libre de Bruxelles (ULB), Universitat Autònoma de Barcelona (UAB), Department Biogeochemical Processes [Jena], Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, University of Antwerp (UA), Systems Ecology, 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), and Universiteit Antwerpen = University of Antwerpen [Antwerpen]

Subjects
[ SDU.OCEAN ] Sciences of the Universe [physics]/Ocean, Atmosphere, 010504 meteorology & atmospheric sciences, Climate, Sustainability Science, 01 natural sciences, SDG 13 - Climate Action, [ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, 2. Zero hunger, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Woods and parks, Physics, 04 agricultural and veterinary sciences, Geokemi, 15. Life on land, Sciences de la terre et du cosmos, Geochemistry, 13. Climate action, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, B410-soil-science
Abstract

textcopyright Author(s) 2018. Current land surface models (LSMs) typically represent soils in a very simplistic way, assuming soil organic carbon (SOC) as a bulk, and thus impeding a correct representation of deep soil carbon dynamics. Moreover, LSMs generally neglect the production and export of dissolved organic carbon (DOC) from soils to rivers, leading to overestimations of the potential carbon sequestration on land. This common oversimplified processing of SOC in LSMs is partly responsible for the large uncertainty in the predictions of the soil carbon response to climate change. In this study, we present a new soil carbon module called ORCHIDEE-SOM, embedded within the land surface model ORCHIDEE, which is able to reproduce the DOC and SOC dynamics in a vertically discretized soil to 2gm. The model includes processes of biological production and consumption of SOC and DOC, DOC adsorption on and desorption from soil minerals, diffusion of SOC and DOC, and DOC transport with water through and out of the soils to rivers. We evaluated ORCHIDEE-SOM against observations of DOC concentrations and SOC stocks from four European sites with different vegetation covers: A coniferous forest, a deciduous forest, a grassland, and a cropland. The model was able to reproduce the SOC stocks along their vertical profiles at the four sites and the DOC concentrations within the range of measurements, with the exception of the DOC concentrations in the upper soil horizon at the coniferous forest. However, the model was not able to fully capture the temporal dynamics of DOC concentrations. Further model improvements should focus on a plant- A nd depth-dependent parameterization of the new input model parameters, such as the turnover times of DOC and the microbial carbon use efficiency. We suggest that this new soil module, when parameterized for global simulations, will improve the representation of the global carbon cycle in LSMs, thus helping to constrain the predictions of the future SOC response to global warming., info:eu-repo/semantics/published

Published
2018

2. Remote sensing of annual terrestrial gross primary productivity from MODIS: An assessment using the FLUXNET La Thuile dataset

Author

Verma, Manish, Friedl, Mark A., Richardson, Andrew D., Kiely, Gerard K., Cescatti, Alessandro, Law, Beverly E., Wohlfahrt, Georg, Gielen, Bert, Roupsard, Olivier, Moors, Eddy J., Toscano, Piero, Vaccari, Francesco Primo, Gianelle, Damiano, Bohrer, Gil, Varlagin, Andrej, Buchmann, Nina, van Gorsel, Eva, Montagnani, Leonardo, and Propastin, Pavel A.

Subjects
13. Climate action, 15. Life on land
Abstract

Gross primary productivity (GPP) is the largest and most variable component of theglobal terrestrial carbon cycle. Repeatable and accurate monitoring of terrestrial GPPis therefore critical for quantifying dynamics in regional-to-global carbon budgets. Re-mote sensing provides high frequency observations of terrestrial ecosystems and is widely used to monitor and model spatiotemporal variability in ecosystem propertiesand processes that affect terrestrial GPP. We used data from the Moderate ResolutionImaging Spectroradiometer (MODIS) and FLUXNET to assess how well four metricsderived from remotely sensed vegetation indices (hereafter referred to as proxies) andsix remote sensing-based models capture spatial and temporal variations in annual GPP. Specifically, we used the FLUXNET “La Thuile” data set, which includes sev-eral times more sites (144) and site years (422) than previous efforts have used. Ourresults show that remotely sensed proxies and modeled GPP are able to capture sta-tistically significant amounts of spatial variation in mean annual GPP in every biomeexcept croplands, but that the total variance explained differed substantially across15biomes (R2≈0.1−0.8). The ability of remotely sensed proxies and models to explaininterannual variability GPP was even more limited. Remotely sensed proxies explained40–60 % of interannual variance in annual GPP in moisture-limited biomes includinggrasslands and shrublands. However, none of the models or remotely sensed proxiesexplained statistically significant amounts of interannual variation in GPP in croplands, evergreen needleleaf forests, and deciduous broadleaf forests. Because important fac-tors that affect year-to-year variation in GPP are not explicitly captured or included inthe remote sensing proxies and models we examined (e.g., interactions between bioticand abiotic conditions, and lagged ecosystems responses to environmental process),our results are not surprising. Nevertheless, robust and repeatable characterization of interannual variability in carbon budgets is critically important and the carbon cycle sci-ence community is increasingly relying on remotely sensing data. As larger and morecomprehensive data sets derived from the FLUXNET community become available, additional systematic assessment and refinement of remote sensing-based methodsfor monitoring annual GPP is warranted., Biogeosciences Discussions, 10 (7), ISSN:1810-6277, ISSN:1810-6285

3. Supplementary material from Altered energy partitioning across terrestrial ecosystems in the European drought year 2018

Author

Graf, Alexander, Klosterhalfen, Anne, Arriga, Nicola, Bernhofer, Christian, Bogena, Heye, Bornet, Frédéric, Brüggemann, Nicolas, Brümmer, Christian, Buchmann, Nina, Jinshu Chi, Chipeaux, Christophe, Cremonese, Edoardo, Cuntz, Matthias, Jiří Dušek, El-Madany, Tarek S., Fares, Silvano, Fischer, Milan, Foltýnová, Lenka, Gharun, Mana, Ghiasi, Shiva, Gielen, Bert, Gottschalk, Pia, Grünwald, Thomas, Heinemann, Günther, Heinesch, Bernard, Heliasz, Michal, Holst, Jutta, Hörtnagl, Lukas, Ibrom, Andreas, Ingwersen, Joachim, Jurasinski, Gerald, Klatt, Janina, Knohl, Alexander, Koebsch, Franziska, Konopka, Jan, Korkiakoski, Mika, Kowalska, Natalia, Kremer, Pascal, Kruijt, Bart, Lafont, Sebastien, Léonard, Joël, Ligne, Anne De, Longdoz, Bernard, Loustau, Denis, Magliulo, Vincenzo, Mammarella, Ivan, Manca, Giovanni, Mauder, Matthias, Migliavacca, Mirco, Mölder, Meelis, Neirynck, Johan, Ney, Patrizia, Nilsson, Mats, Paul-Limoges, Eugénie, Peichl, Matthias, Pitacco, Andrea, Poyda, Arne, Rebmann, Corinna, Roland, Marilyn, Sachs, Torsten, Schmidt, Marius, Schrader, Frederik, Siebicke, Lukas, Šigut, Ladislav, Eeva-Stiina Tuittila, Varlagin, Andrej, Vendrame, Nadia, Vincke, Caroline, Völksch, Ingo, Weber, Stephan, Wille, Christian, Hans-Dieter Wizemann, Zeeman, Matthias, and Vereecken, Harry

Subjects
13. Climate action, 15. Life on land
Abstract

Data processing methods; Energy balance closure; Intra-annual temporal dynamics of ET; Tables S1-S2; Figures S1-S2

4. Assimilating phenology datasets automatically across ICOS ecosystem stations

Author

Hufkens, Koen, Filippa, Gianluca, Cremonese, Edoardo, Migliavacca, Mirco, D'Odorico, Petra, Peichl, Matthias, Gielen, Bert, Hörtnagl, Lukas, Soudani, Kamel, Papale, Dario, Rebmann, Corinna, Brown, Tim, and Wingate, Lisa

Subjects
ICOS, near-surface remote sensing, 13. Climate action, digital repeat photography, protocol, 15. Life on land, phenology, proximal sensing
Abstract

The presence or absence of leaves within plant canopies exert a strong influence on the carbon, water and energy balance of ecosystems. Identifying key changes in the timing of leaf elongation and senescence during the year can help to understand the sensitivity of different plant functional types to changes in temperature. When recorded over many years these data can provide information on the response of ecosystems to long-term changes in climate. The installation of digital cameras that take images at regular intervals of plant canopies across the Integrated Carbon Observation System ecosystem stations will provide a re- liable and important record of variations in canopy state, colour and the timing of key phenological events. Here, we detail the procedure for the implementation of cameras on Integrated Carbon Observation System flux towers and how these images will help us understand the impact of leaf phenology and ecosystem function, distinguish changes in canopy structure from leaf physiology and at larger scales will assist in the validation of (future) remote sensing products. These data will help us improve the representation of phenological responses to climatic variability across Integrated Carbon Observation System stations and the terrestrial biosphere through the improvement of model algorithms and the provision of validation datasets., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

5. Standardisation of chamber technique for CO2, N2O and CH4 fluxes measurements from terrestrial ecosystems

Author

Pavelka, Marian, Acosta, Manuel, Kiese, Ralf, Altimir, Nuria, Brümmer, Christian, Crill, Patrick, Darenova, Eva, Fuß, Roland, Gielen, Bert, Graf, Alexander, Klemedtsson, Leif, Lohila, Annalea, Longdoz, Bernhard, Lindroth, Anders, Nilsson, Mats, Marañón Jiménez, Sara, Merbold, Lutz, Montagnani, Leonardo, Peichl, Matthias, Pihlatie, Mari, Pumpanen, Jukka, Serrano Ortiz, Penelope, Silvennoinen, Hanna, Skiba, Ute, Vestin, Patrik, Weslien, Per, Janous, Dalibor, and Kutsch, Werner L.

Subjects
ecosystem, ICOS, 13. Climate action, greenhouse gas, manual chamber system, protocol, automated chamber system
Abstract

Chamber measurements of trace gas fluxes between the land surface and the atmosphere have been conducted for almost a century. Different chamber techniques, including static and dynamic, have been used with varying degrees of success in estimating greenhouse gases (CO2, CH4, N2O) fluxes. However, all of these have certain disadvantages which have either prevented them from providing an adequate estimate of greenhouse gas exchange or restricted them to be used under limited conditions. Generally, chamber methods are relatively low in cost and simple to operate. In combination with the appropriate sample allocations, chamber methods are adaptable for a wide variety of studies from local to global spatial scales, and they are particularly well suited for in situ and laboratory-based studies. Consequently, chamber measurements will play an important role in the portfolio of the Pan-European long-term research infrastructure Integrated Carbon Observation System. The respective working group of the Integrated Carbon Observation System Ecosystem Monitoring Station Assembly has decided to ascertain standards and quality checks for automated and manual chamber systems instead of defining one or several standard systems provided by commercial manufacturers in order to define minimum requirements for chamber measurements. The defined requirements and recommendations related to chamber measurements are described here., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

6. Importance of reporting ancillary site characteristics, and management and disturbance information at ICOS stations

Author

Saunders, Matthew, Dengel, Sigrid, Kolari, Pasi, Moureaux, Christine, Montagnani, Leonardo, Ceschia, Eric, Altimir, Nuria, López-Ballesteros, Ana, Marañón Jiménez, Sara, Acosta, Manuel, Klumpp, Katja, Gielen, Bert, Op de Beeck, Maarten, Hörtnagl, Lukas, Merbold, Lutz, Osborne, Bruce, Grünwald, Thomas, Arrouays, Dominique, Boukir, Hakima, Saby, Nicolas, Nicolini, Giacomo, Papale, Dario, and Jones, Michael

Subjects
characterisation, disturbance, 13. Climate action, protocol, 15. Life on land, export, management
Abstract

There are many factors that influence ecosystem scale carbon, nitrogen and greenhouse gas dynamics, including the inherent heterogeneity of soils and vegetation, anthropogenic management interventions, and biotic and abiotic disturbance events. It is important therefore, to document the characteristics of the soils and vegetation and to accurately report all management activities, and disturbance events to aid the interpretation of collected data, and to determine whether the ecosystem either amplifies or mitigates climate change. This paper outlines the importance of assessing both the spatial and temporal variability of soils and vegetation and to report all management events, the import or export of C or N from the ecosystem, and the occurrence of biotic/abiotic disturbances at ecosystem stations of the Integrated Carbon Observation System, a pan-European research infrastructure., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

7. Interpreting canopy development and physiology using a European phenology camera network at flux sites

Author

Wingate, Lisa, Ogée, Jérôme, Cremonese, Edoardo, Filippa, Gianluca, Mizunuma, Toshie, Migliavacca, Mirco, Moisy, Christophe, Wilkinson, Matthew, Moureaux, Christine, Wohlfahrt, Georg, Hammerle, Albin, Hörtnagl, Lukas, Gimeno, Cristina, Porcar-Castell, Albert, Galvagno, Marta, Nakaji, T., Morison, James, Kolle, Olaf, Knohl, Alexander, Kutsch, Werner L., Kolari, Pasi, Nikinmaa, Ero, Ibrom, Andreas, Gielen, Bert, Eugster, Werner, Balzarolo, Manuela, Papale, Dario, Klumpp, Katja, Köstner, Barbara, Grünwald, Thomas, Joffre, Richard, Ourcival, Jean-Marc, Hellström, Margareta, Lindroth, Anders, George, Charles, Longdoz, Bernard, Genty, Bernard, Levula, Janne, Heinesch, Bernard, Sprintsin, Michael, Yakir, Dan, Manise, T., Guyon, Dominique, Ahrends, Hella, Plaza-Aguilar, Andrés, Guan, J.H., and Grace, John

Subjects
13. Climate action, 15. Life on land
Abstract

Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant development stages and their response to climate and management practices are crudely represented in land surface models. As visual observations of phenology are laborious, there is a need to supplement long-term observations with automated techniques such as those provided by digital repeat photography at high temporal and spatial resolution. We present the first synthesis from a growing observational network of digital cameras installed on towers across Europe above deciduous and evergreen forests, grasslands and croplands, where vegetation and atmosphere CO2 fluxes are measured continuously. Using colour indices from digital images and using piecewise regression analysis of time series, we explored whether key changes in canopy phenology could be detected automatically across different land use types in the network. The piecewise regression approach could capture the start and end of the growing season, in addition to identifying striking changes in colour signals caused by flowering and management practices such as mowing. Exploring the dates of green-up and senescence of deciduous forests extracted by the piecewise regression approach against dates estimated from visual observations, we found that these phenological events could be detected adequately (RMSE < 8 and 11 days for leaf out and leaf fall, respectively). We also investigated whether the seasonal patterns of red, green and blue colour fractions derived from digital images could be modelled mechanistically using the PROSAIL model parameterised with information of seasonal changes in canopy leaf area and leaf chlorophyll and carotenoid concentrations. From a model sensitivity analysis we found that variations in colour fractions, and in particular the late spring `green hump' observed repeatedly in deciduous broadleaf canopies across the network, are essentially dominated by changes in the respective pigment concentrations. Using the model we were able to explain why this spring maximum in green signal is often observed out of phase with the maximum period of canopy photosynthesis in ecosystems across Europe. Coupling such quasi-continuous digital records of canopy colours with co-located CO2 flux measurements will improve our understanding of how changes in growing season length are likely to shape the capacity of European ecosystems to sequester CO2 in the future., Biogeosciences, 12 (20), ISSN:1726-4170

8. Ancillary vegetation measurements at ICOS ecosystem stations

Author

Gielen, Bert, Acosta, Manuel, Altimir, Nuria, Buchmann, Nina, Cescatti, Alessandro, Ceschia, Eric, Fleck, Stefan, Hörtnagl, Lukas, Klumpp, Katja, Kolari, Pasi, Lohila, Annalea, Loustau, Denis, Marańon-Jimenez, Sara, Manise, Tanguy, Matteucci, Giorgio, Merbold, Lutz, Metzger, Christine, Moureaux, Christine, Montagnani, Leonardo, Nilsson, Mats B., Osborne, Bruce, Papale, Dario, Pavelka, Marian, Saunders, Matthew, Simioni, Guillaume, Soudani, Kamel, Sonnentag, Oliver, Tallec, Tiphaine, Tuittila, Eeva-Stiina, Peichl, Matthias, Pokorny, Radek, Vincke, Caroline, and Wohlfahrt, Georg

Subjects
13. Climate action, 15. Life on land

9. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, Daniela, Acosta, Manuel, Altimir, Núria, Arriga, Nicola, Arrouays, Dominique, Aubinet, Marc, Aurela, Mika, Ayres, Edward, López-Ballesteros, Ana, Barbaste, Mireille, Berveiller, Daniel, Biraud, Sébastien, Boukir, Hakima, Brown, Timothy, Brümmer, Christian, Buchmann, Nina, Burba, George, Carrara, Arnaud, Cescatti, Allessandro, Ceschia, Eric, Clement, Robert, Cremonese, Edoardo, Crill, Patrick, Darenova, Eva, Dengel, Sigrid, D’Odorico, Petra, Filippa, Gianluca, Fleck, Stefan, Fratini, Gerardo, Fuß, Roland, Gielen, Bert, Gogo, Sébastien, Grace, John, Graf, Alexander, Grelle, Achim, Gross, Patrick, Grünwald, Thomas, Haapanala, Sami, Hehn, Markus, Heinesch, Bernard, Heiskanen, Jouni, Herbst, Mathias, Herschlein, Christine, Hörtnagl, Lukas, Hufkens, Koen, Ibrom, Andreas, Jolivet, Claudy, Joly, Lilian, Jones, Michael, Kiese, Ralf, Klemedtsson, Leif, Kljun, Natascha, Klumpp, Katja, Kolari, Pasi, Kolle, Olaf, Kowalski, Andrew, Kutsch, Werner, Laurila, Tuomas, De Ligne, Anne, Linder, Sune, Lindroth, Anders, Lohila, Annalea, Longdoz, Bernhard, Mammarella, Ivan, Manise, Tanguy, Jiménez, Sara Maraňón, Matteucci, Giorgio, Mauder, Matthias, Meier, Philip, Merbold, Lutz, Mereu, Simone, Metzger, Stefan, Migliavacca, Mirco, Mölder, Meelis, Montagnani, Leonardo, Moureaux, Christine, Nelson, David, Nemitz, Eiko, Nicolini, Giacomo, Nilsson, Mats B., De Beeck, Maarten Op, Osborne, Bruce, Löfvenius, Mikaell Ottosson, Pavelka, Marian, Peichl, Matthias, Peltola, Olli, Pihlatie, Mari, Pitacco, Andrea, Pokorný, Radek, Pumpanen, Jukka, Ratié, Céline, Rebmann, Corinna, Roland, Marilyn, Sabbatini, Simone, Saby, Nicolas P.A., Saunders, Matthew, Schmid, Hans Peter, Schrumpf, Marion, Sedlák, Pavel, Ortiz, Penelope Serrano, Siebicke, Lukas, Šigut, Ladislav, Silvennoinen, Hanna, Simioni, Guillaume, Skiba, Ute, Sonnentag, Oliver, Soudani, Kamel, Soulé, Patrice, Steinbrecher, Rainer, Tallec, Tiphaine, Thimonier, Anne, Tuittila, Eeva-Stiina, Tuovinen, Juha-Pekka, Vestin, Patrik, Vincent, Gaëlle, Vincke, Caroline, Vitale, Domenico, Waldner, Peter, Weslien, Per, Wingate, Lisa, Wohlfahrt, Georg, Zahniser, Mark, and Vesala, Timo

Subjects
13. Climate action, 11. Sustainability, 15. Life on land, 12. Responsible consumption

10. Standardisation of eddy-covariance flux measurements of methane and nitrous oxide

Author

Nemitz, Eiko, Mammarella, Ivan, Ibrom, Andreas, Aurela, Mika, Burba, George G., Dengel, Sigrid, Gielen, Bert, Grelle, Achim, Heinesch, Bernard, Herbst, Mathias, Hörtnagl, Lukas, Klemedtsson, Leif, Lindroth, Anders, Lohila, Annalea, McDermitt, Dayle K., Meier, Philip, Merbold, Lutz, Nelson, David, Nicolini, Giacomo, Nilsson, Mats B., Peltola, Olli, Rinne, Janne, and Zahniser, Mark

Subjects
ICOS, 13. Climate action, greenhouse gas exchange, standardisation, protocol, micrometeorology
Abstract

Commercially available fast-response analysers for methane (CH4) and nitrous oxide (N2O) have recently become more sensitive, more robust and easier to operate. This has made their application for long-term flux measurements with the eddycovariance method more feasible. Unlike for carbon dioxide (CO2) and water vapour (H2O), there have so far been no guidelines on how to optimise and standardise the measurements. This paper reviews the state-of-the-art of the various steps of the measurements and discusses aspects such as instrument selection, setup and maintenance, data processing as well as the additional measurements needed to aid interpretation and gap-filling. It presents the methodological protocol for eddy covariance measurements of CH4 and N2O fluxes as agreed for the ecosystem station network of the pan-European Research Infrastructure Integrated Carbon Observation System and provides a first international standard that is suggested to be adopted more widely. Fluxes can be episodic and the processes controlling the fluxes are complex, preventing simple mechanistic gap-filling strategies. Fluxes are often near or below the detection limit, requiring additional care during data processing. The protocol sets out the best practice for these conditions to avoid biasing the results and long-term budgets. It summarises the current approach to gap-filling., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

11. Ancillary vegetation measurements at ICOS ecosystem stations

Author

Gielen, Bert, Acosta, Manuel, Altimir, Nuria, Buchmann, Nina, Cescatti, Alessandro, Ceschia, Eric, Fleck, Stefan, Hörtnagl, Lukas, Klumpp, Katja, Kolari, Pasi, Loustau, Denis, Marañón Jiménez, Sara, Manise, Tanguy, Matteucci, Giorgio, Merbold, Lutz, Metzger, Christine, Moureaux, Christine, Montagnani, Leonardo, Nilsson, Mats B., Osborne, Bruce, Papale, Dario, Pavelka, Marian, Saunders, Matthew, Simioni, Guillaume, Soudani, Kamel, Sonnentag, Oliver, Tallac, Tiphaine, Tuittila, Eeva-Stiina, Peichl, Matthias, Pokorny, Radek, Vincke, Caroline, and Wohlfahrt, Georg

Subjects
Litter biomass, ICOS, 13. Climate action, Green Area Index, Protocol, Aboveground biomass, 15. Life on land
Abstract

The Integrated Carbon Observation System is a Pan-European distributed research infrastructure that has as its main goal to monitor the greenhouse gas balance of Europe. The ecosystem component of Integrated Carbon Observation System consists of a multitude of stations where the net greenhouse gas exchange is monitored continuously by eddy covariance measurements while, in addition many other measurements are carried out that are a key to an understanding of the greenhouse gas balance. Amongst them are the continuous meteorological measurements and a set of non-continuous measurements related to vegetation.The latter include Green Area Index, aboveground biomass andlitter biomass. The standardized methodology that is used at the Integrated Carbon Observation System ecosystem stations to monitor these vegetation related variables differs between the ecosystem types that are represented within the network, whereby in this paper we focus on forests, grasslands, croplands and mires. For each of the variables and ecosystems a spatial and temporal sampling design was developed so that the variables can be monitored in a consistent way within the ICOS network. The standardisation of the methodology to collect Green Area Index, above ground biomass and litter biomass and the methods to evaluate the quality of the collected data ensures that all stations within the ICOS ecosystem network produce data sets with small and similar errors, which allows for inter-comparison comparisons across the Integrated Carbon Observation System ecosystem network., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

12. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto Z., Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle S., Cheah, Youwei, Poindexter, Cristina M., Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, van Ingen, Catharine, Zhang, Leiming, Amiro, Brian D., Ammann, Christoph, Arain, Muhammad A., Ardö, Jonas, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis D., Barr, Alan G., Beamesderfer, Eric R., Marchesini, Luca B., Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, David P., Black, Thomas A., Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason J., Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Cremonese, Edoardo, Curtis, Peter S., D'Andrea, Ettore, da Rocha, Humberto R., Dai, Xiaoqin, Davis, Kenneth J., de Cinti, Bruno, De Grandcourt, Agnès, De Ligne, Anne, de Oliveira Jr., Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos M., Di Tommasi, Paul, Dolman, Han A.J., Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Éric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim A.M., Eugster, Werner, Ewenz, Cäcilia, Ewers, Brent E., Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew J., Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly A., Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher, Hanson, Chad V., Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernhard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay B., Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczyński, Marcin, Janous, Dalibor, Jans, Wilma W.P., Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Knohl, Alexander, Knox, Sara H., Kobayashi, Hideki, Koerber, Georgia R., Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew S., Kruijt, Bart, Kurbatova, Juliya, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean M., Lion, Marryanna, Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje M., Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William J., Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn H., Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M.S., Merbold, Lutz, Meyer, Wayne S., Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin, Moors, Eddy J., Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo D., Nouvellon, Yann, Novick, Kimberly A., Oechel, Walter C., Olesen, Jorgen E., Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan W., Paul-Limoges, Eugénie, Pavelka, Marián, Peichl, Matthias, Pendall, Elise G., Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas L., Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Reed, David E., Resco de Dios, Victor, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans P., Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Scott, Russell L., Sedlák, Pavel, Serrano-Ortiz, Penelope, Shao, Changliang, Shi, Peili, Shironya, Ivan I., Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert, Sturtevant, Cove S., Suyker, Andrew E., Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel J., Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, Van Der Molen, Michiel K., van Gorsel, Eva, van Huissteden, Ko J., Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natascha N., Walker, Jeffrey, Walter-Shea, Elizabeth A., Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven C., Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William L., Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deborah A., Biraud, Sébastien C., Torn, Margaret S., and Papale, Dario

Subjects
13. Climate action, 15. Life on land
Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible., Scientific Data, 7, ISSN:2052-4463

13. Standardisation of chamber technique for CO2, N2O and CH4 fluxes measurements from terrestrial ecosystems

Author

Pavelka, Marian, Acosta, Manuel, Kiese, Ralf, Altimir, Núria, Brümmer, Christian, Crill, Patrick, Darenova, Eva, Fuß, Roland, Gielen, Bert, Graf, Alexander, Klemedtsson, Leif, Lohila, Annalea, Longdoz, Bernhard, Lindroth, Anders, Nilsson, Mats, Jiménez, Sara Maraňón, Merbold, Lutz, Montagnani, Leonardo, Peichl, Matthias, Pihlatie, Mari, Pumpanen, Jukka, Ortiz, Penelope Serrano, Silvennoinen, Hanna, Skiba, Ute, Vestin, Patrik, Weslien, Per, Janous, Dalibor, and Kutsch, Werner

Subjects
13. Climate action

14. Supplementary material from Altered energy partitioning across terrestrial ecosystems in the European drought year 2018

Author

Graf, Alexander, Klosterhalfen, Anne, Arriga, Nicola, Bernhofer, Christian, Bogena, Heye, Bornet, Frédéric, Brüggemann, Nicolas, Brümmer, Christian, Buchmann, Nina, Jinshu Chi, Chipeaux, Christophe, Cremonese, Edoardo, Cuntz, Matthias, Jiří Dušek, El-Madany, Tarek S., Fares, Silvano, Fischer, Milan, Foltýnová, Lenka, Gharun, Mana, Ghiasi, Shiva, Gielen, Bert, Gottschalk, Pia, Grünwald, Thomas, Heinemann, Günther, Heinesch, Bernard, Heliasz, Michal, Holst, Jutta, Hörtnagl, Lukas, Ibrom, Andreas, Ingwersen, Joachim, Jurasinski, Gerald, Klatt, Janina, Knohl, Alexander, Koebsch, Franziska, Konopka, Jan, Korkiakoski, Mika, Kowalska, Natalia, Kremer, Pascal, Kruijt, Bart, Lafont, Sebastien, Léonard, Joël, Ligne, Anne De, Longdoz, Bernard, Loustau, Denis, Magliulo, Vincenzo, Mammarella, Ivan, Manca, Giovanni, Mauder, Matthias, Migliavacca, Mirco, Mölder, Meelis, Neirynck, Johan, Ney, Patrizia, Nilsson, Mats, Paul-Limoges, Eugénie, Peichl, Matthias, Pitacco, Andrea, Poyda, Arne, Rebmann, Corinna, Roland, Marilyn, Sachs, Torsten, Schmidt, Marius, Schrader, Frederik, Siebicke, Lukas, Šigut, Ladislav, Eeva-Stiina Tuittila, Varlagin, Andrej, Vendrame, Nadia, Vincke, Caroline, Völksch, Ingo, Weber, Stephan, Wille, Christian, Hans-Dieter Wizemann, Zeeman, Matthias, and Vereecken, Harry

Subjects
13. Climate action, 15. Life on land
Abstract

Data processing methods; Energy balance closure; Intra-annual temporal dynamics of ET; Tables S1-S2; Figures S1-S2

15. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data

Author

Pastorello, Gilberto, Trotta, Carlo, Canfora, Eleonora, Chu, Housen, Christianson, Danielle, Cheah, You-Wei, Poindexter, Cristina, Chen, Jiquan, Elbashandy, Abdelrahman, Humphrey, Marty, Isaac, Peter, Polidori, Diego, Ribeca, Alessio, Van Ingen, Catharine, Zhang, Leiming, Amiro, Brian, Ammann, Christof, Arain, M. Altaf, Ardö, Jonas, Arkebauer, Timothy, Arndt, Stefan K., Arriga, Nicola, Aubinet, Marc, Aurela, Mika, Baldocchi, Dennis, Barr, Alan, Beamesderfer, Eric, Marchesini, Luca Belelli, Bergeron, Onil, Beringer, Jason, Bernhofer, Christian, Berveiller, Daniel, Billesbach, Dave, Black, Thomas Andrew, Blanken, Peter D., Bohrer, Gil, Boike, Julia, Bolstad, Paul V., Bonal, Damien, Bonnefond, Jean-Marc, Bowling, David R., Bracho, Rosvel, Brodeur, Jason, Brümmer, Christian, Buchmann, Nina, Burban, Benoit, Burns, Sean P., Buysse, Pauline, Cale, Peter, Cavagna, Mauro, Cellier, Pierre, Chen, Shiping, Chini, Isaac, Christensen, Torben R., Cleverly, James, Collalti, Alessio, Consalvo, Claudia, Cook, Bruce D., Cook, David, Coursolle, Carole, Cremonese, Edoardo, Curtis, Peter S., D’Andrea, Ettore, Da Rocha, Humberto, Dai, Xiaoqin, Davis, Kenneth J., De Cinti, Bruno, De Grandcourt, Agnes, De Ligne, Anne, De Oliveira, Raimundo C., Delpierre, Nicolas, Desai, Ankur R., Di Bella, Carlos Marcelo, Di Tommasi, Paul, Dolman, Han, Domingo, Francisco, Dong, Gang, Dore, Sabina, Duce, Pierpaolo, Dufrêne, Eric, Dunn, Allison, Dušek, Jiří, Eamus, Derek, Eichelmann, Uwe, ElKhidir, Hatim Abdalla M., Eugster, Werner, Ewenz, Cacilia M., Ewers, Brent, Famulari, Daniela, Fares, Silvano, Feigenwinter, Iris, Feitz, Andrew, Fensholt, Rasmus, Filippa, Gianluca, Fischer, Marc, Frank, John, Galvagno, Marta, Gharun, Mana, Gianelle, Damiano, Gielen, Bert, Gioli, Beniamino, Gitelson, Anatoly, Goded, Ignacio, Goeckede, Mathias, Goldstein, Allen H., Gough, Christopher M., Goulden, Michael L., Graf, Alexander, Griebel, Anne, Gruening, Carsten, Grünwald, Thomas, Hammerle, Albin, Han, Shijie, Han, Xingguo, Hansen, Birger Ulf, Hanson, Chad, Hatakka, Juha, He, Yongtao, Hehn, Markus, Heinesch, Bernard, Hinko-Najera, Nina, Hörtnagl, Lukas, Hutley, Lindsay, Ibrom, Andreas, Ikawa, Hiroki, Jackowicz-Korczynski, Marcin, Janouš, Dalibor, Jans, Wilma, Jassal, Rachhpal, Jiang, Shicheng, Kato, Tomomichi, Khomik, Myroslava, Klatt, Janina, Knohl, Alexander, Knox, Sara, Kobayashi, Hideki, Koerber, Georgia, Kolle, Olaf, Kosugi, Yoshiko, Kotani, Ayumi, Kowalski, Andrew, Kruijt, Bart, Kurbatova, Julia, Kutsch, Werner L., Kwon, Hyojung, Launiainen, Samuli, Laurila, Tuomas, Law, Bev, Leuning, Ray, Li, Yingnian, Liddell, Michael, Limousin, Jean-Marc, Lion, Marryanna, Liska, Adam J., Lohila, Annalea, López-Ballesteros, Ana, López-Blanco, Efrén, Loubet, Benjamin, Loustau, Denis, Lucas-Moffat, Antje, Lüers, Johannes, Ma, Siyan, Macfarlane, Craig, Magliulo, Vincenzo, Maier, Regine, Mammarella, Ivan, Manca, Giovanni, Marcolla, Barbara, Margolis, Hank A., Marras, Serena, Massman, William, Mastepanov, Mikhail, Matamala, Roser, Matthes, Jaclyn Hatala, Mazzenga, Francesco, McCaughey, Harry, McHugh, Ian, McMillan, Andrew M. S., Merbold, Lutz, Meyer, Wayne, Meyers, Tilden, Miller, Scott D., Minerbi, Stefano, Moderow, Uta, Monson, Russell K., Montagnani, Leonardo, Moore, Caitlin E., Moors, Eddy, Moreaux, Virginie, Moureaux, Christine, Munger, J. William, Nakai, Taro, Neirynck, Johan, Nesic, Zoran, Nicolini, Giacomo, Noormets, Asko, Northwood, Matthew, Nosetto, Marcelo, Nouvellon, Yann, Novick, Kimberly, Oechel, Walter, Olesen, Jørgen Eivind, Ourcival, Jean-Marc, Papuga, Shirley A., Parmentier, Frans-Jan, Paul-Limoges, Eugenie, Pavelka, Marian, Peichl, Matthias, Pendall, Elise, Phillips, Richard P., Pilegaard, Kim, Pirk, Norbert, Posse, Gabriela, Powell, Thomas, Prasse, Heiko, Prober, Suzanne M., Rambal, Serge, Rannik, Üllar, Raz-Yaseef, Naama, Reed, David, De Dios, Victor Resco, Restrepo-Coupe, Natalia, Reverter, Borja R., Roland, Marilyn, Sabbatini, Simone, Sachs, Torsten, Saleska, Scott R., Sánchez-Cañete, Enrique P., Sanchez-Mejia, Zulia M., Schmid, Hans Peter, Schmidt, Marius, Schneider, Karl, Schrader, Frederik, Schroder, Ivan, Scott, Russell L., Sedlák, Pavel, Serrano-Ortíz, Penélope, Shao, Changliang, Shi, Peili, Shironya, Ivan, Siebicke, Lukas, Šigut, Ladislav, Silberstein, Richard, Sirca, Costantino, Spano, Donatella, Steinbrecher, Rainer, Stevens, Robert M., Sturtevant, Cove, Suyker, Andy, Tagesson, Torbern, Takanashi, Satoru, Tang, Yanhong, Tapper, Nigel, Thom, Jonathan, Tiedemann, Frank, Tomassucci, Michele, Tuovinen, Juha-Pekka, Urbanski, Shawn, Valentini, Riccardo, Van Der Molen, Michiel, Van Gorsel, Eva, Van Huissteden, Ko, Varlagin, Andrej, Verfaillie, Joseph, Vesala, Timo, Vincke, Caroline, Vitale, Domenico, Vygodskaya, Natalia, Walker, Jeffrey P., Walter-Shea, Elizabeth, Wang, Huimin, Weber, Robin, Westermann, Sebastian, Wille, Christian, Wofsy, Steven, Wohlfahrt, Georg, Wolf, Sebastian, Woodgate, William, Li, Yuelin, Zampedri, Roberto, Zhang, Junhui, Zhou, Guoyi, Zona, Donatella, Agarwal, Deb, Biraud, Sebastien, Torn, Margaret, and Papale, Dario

Subjects
13. Climate action, 15. Life on land
Abstract

The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series, ecosystem respiration and photosynthetic uptake estimates, estimation of uncertainties, and metadata about the measurements, presented for the first time in this paper. In addition, 206 of these sites are for the first time distributed under a Creative Commons (CC-BY 4.0) license. This paper details this enhanced dataset and the processing methods, now made available as open-source codes, making the dataset more accessible, transparent, and reproducible.

16. Altered energy partitioning across terrestrial ecosystems in the European drought year 2018

Author

Graf, Alexander, Klosterhalfen, Anne, Arriga, Nicola, Bernhofer, Christian, Bogena, Heye, Bornet, Frédéric, Brüggemann, Nicolas, Brümmer, Christian, Buchmann, Nina, Chi, Jinshu, Chipeaux, Christophe, Cremonese, Edoardo, Cuntz, Matthias, Dušek, Jiří, El-Madany, Tarek S., Fares, Silvano, Fischer, Milan, Foltýnová, Lenka, Gharun, Mana, Ghiasi, Shiva, Gielen, Bert, Gottschalk, Pia, Grünwald, Thomas, Heinemann, Günther, Heinesch, Bernard, Heliasz, Michal, Holst, Jutta, Hörtnagl, Lukas, Ibrom, Andreas, Ingwersen, Joachim, Jurasinski, Gerald, Klatt, Janina, Knohl, Alexander, Koebsch, Franziska, Konopka, Jan, Korkiakoski, Mika, Kowalska, Natalia, Kremer, Pascal, Kruijt, Bart, Lafont, Sebastien, Léonard, Joël, De Ligne, Anne, Longdoz, Bernard, Loustau, Denis, Magliulo, Vincenzo, Mammarella, Ivan, Manca, Giovanni, Mauder, Matthias, Migliavacca, Mirco, Mölder, Meelis, Neirynck, Johan, Ney, Patrizia, Nilsson, Mats, Paul-Limoges, Eugénie, Peichl, Matthias, Pitacco, Andrea, Poyda, Arne, Rebmann, Corinna, Roland, Marilyn, Sachs, Torsten, Schmidt, Marius, Schrader, Frederik, Siebicke, Lukas, Šigut, Ladislav, Tuittila, Eeva-Stiina, Varlagin, Andrej, Vendrame, Nadia, Vincke, Caroline, Völksch, Ingo, Weber, Stephan, Wille, Christian, Wizemann, Hans-Dieter, Zeeman, Matthias, and Vereecken, Harry

Subjects
net carbon uptake, 13. Climate action, eddy covariance, evapotranspiration, heat flux, water-use efficiency, 15. Life on land, energy balance
Abstract

Philosophical Transactions of the Royal Society B: Biological Sciences, 375 (1810), ISSN:0962-8436, ISSN:1471-2970, ISSN:0080-4622

17. Soil sampling and preparation for monitoring soil carbon

Author

Arrouays, Dominique, Saby, Nicolas P.A., Boukir, Hakima, Jolivet, Claudy, Ratie, Celine, Schrumpf, Marion, Merbold, Lutz, Gielen, Bert, Gogo, Sebastien, Delpierre, Nicolas, Vincent, Gaelle, Klumpp, Katja, and Loustau, Denis

Subjects
soil organic carbon stocks, 13. Climate action, ICOS protocol, SOC measurements, sampling design, sense organs, 15. Life on land, skin and connective tissue diseases
Abstract

There is an urgent need for standardized monitoring of existing soil organic carbon stocks in order to accurately quantify potential negative or positive feedbacks with climate change on carbon fluxes. Given the uncertainty of flux measurements at the ecosystem scale, obtaining precise estimates of changes in soil organic carbon stocks is essential to provide an independent assessment of long-term net ecosystem carbon exchange. Here we describe the standard procedure to monitor the soil organic carbon stocks within the footprint of an eddy covariance flux tower, as applied at ecosystem stations of the Integrated Carbon Observation System. The objectives are i) to ensure comparability between sites and to be able to draw general conclusions from the results obtained across many ecosystems and ii) to optimize the sampling design in order to be able to prove changes in time using a reduced number of samples. When sampling a given site at two periods, the objective is generally to assess if changes occurred in time. The changes that can be detected (i.e., demonstrated as statistically significant) depend on several parameters such as the number of samples, the spatial sampling design, and the inherent within-site soil variability. Depending on these parameters, one can define the ‘minimum detectable change’ which is the minimum value of changed that can be statistically proved. Using simulation studies, we address the trade-off between increasing the number of samples and getting lower minimum detectable changes of soil organic carbon stocks., International Agrophysics, 32 (4), ISSN:0236-8722, ISSN:2300-8725

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