Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model
| العنوان: | Simulating the net ecosystem CO2 exchange and its components over winter wheat cultivation sites across a large climate gradient in Europe using the ORCHIDEE-STICS generic model |
|---|---|
| المؤلفون: | Eric Ceschia, Nicolas Vuichard, Martin Wattenbach, Xiuchen Wu, Philippe Ciais, Longhui Li, W.W.P. Jans, Nicolas Viovy, Benjamin Loubet, Christian Bernhofer, Thomas Grünwald, Carmen Emmel |
| المساهمون: | Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (CEA) - Grenoble, University of New South Wales [Sydney] (UNSW), Centre National de la Recherche Scientifique (CNRS), Centre National d'Études Spatiales [Toulouse] (CNES), Institut de Recherche pour le Développement (IRD [France-Ouest]), German Research Centre for Geosciences - Helmholtz-Centre Potsdam (GFZ), Institute of Hydrology and Meteorology [Dresden], Technische Universität Dresden (TUD), Alterra [Wageningen] (ESS-CC), Centre for Water and Climate [Wageningen], Environnement et Grandes Cultures (EGC), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Leibniz-Institut für Katalyse (LIKAT Rostock), Leibniz Association-Universität Rostock, 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), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Institute of Agricultural Sciences [Zürich], Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), State Key Laboratory of Earth Surface Processes and Resource Ecology (ESPRE), Beijing Normal University (BNU), Capital Normal University [Beijing], 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), Institut National de la Recherche Agronomique (INRA)-AgroParisTech |
| المصدر: | Agriculture, Ecosystems and Environment Agriculture, Ecosystems and Environment, Elsevier Masson, 2016, 226, pp.1-17. ⟨10.1016/j.agee.2016.04.017⟩ Agriculture Ecosystems & Environment Agriculture, Ecosystems & Environment Agriculture, Ecosystems & Environment, 2016, 226, pp.1-17. ⟨10.1016/j.agee.2016.04.017⟩ Agriculture, Ecosystems and Environment 226 (2016) Agriculture Ecosystems and Environment Agriculture, Ecosystems and Environment, 226, 1-17 |
| بيانات النشر: | HAL CCSD, 2016. |
| سنة النشر: | 2016 |
| مصطلحات موضوعية: | Carbon dioxide fluxes, 010504 meteorology & atmospheric sciences, Correlation coefficient, Winter wheat, Global terrestrial ecosystem model, Atmospheric sciences, 01 natural sciences, Hydrology (agriculture), Ecosystem, [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, Ecology, Primary production, 04 agricultural and veterinary sciences, Soil carbon, 15. Life on land, Climate Resilience, 13. Climate action, Klimaatbestendigheid, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries, Environmental science, Animal Science and Zoology, Terrestrial ecosystem, Ecosystem respiration, Croplands, Agronomy and Crop Science |
| الوصف: | International audience; Over the last decade, efforts have been carried on to develop and evaluate versions of global terrestrial ecosystem models (GTEM) in which crop specificities are represented. The goal of this study is to evaluate the ability of the ORCHIDEE-STICS (Organising Carbon and Hydrology In Dynamic EcosystEms—Simulateur mulTIdisciplinaire pour les Cultures Standard) GTEM in simulating the observed seasonal variations and annual budgets of net ecosystem exchange (NEE), gross primary production (GPP) and total ecosystem respiration (TER) fluxes over seven wheat sites spanning a large climate gradient in Europe. Overall, the seasonal variations of GPP are well represented by the model, with 5 sites out of 7 exhibiting a correlation coefficient (R) value higher than 0.9 and a normalized standard deviation (NSTD) between 0.8 and 1.2. In comparison, the model performances for catching the seasonal variations of TER are lower, especially in terms of NSTD. Regarding the annual budgets, mean simulated deviations averaged over all sites do not exceed 10% and 15% of the observed annual mean budget, for GPP and TER, respectively. For NEE, the model capacity at estimating annual budgets is low, its mean deviation corresponding to ∼35% of the observed mean value. This clearly shows that more accurate model estimates of GPP and especially TER are required for estimating NEE annual budgets. In this respect, past land-use and land-management changes are probably the most crucial processes to add, for getting soil carbon disequilibrium and more accurate NEE annual budgets. From a sensitivity analysis of the modelled fluxes to three management practices (plant variety, sowing date and fertilization intensity), we found that the fertilization is the most sensitive practice impacting the model performances of any flux, both in terms of seasonal variations and annual budgets. |
| وصف الملف: | application/pdf; application/octet-stream |
| اللغة: | English |
| تدمد: | 0167-8809 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6dd4f999748453981e84b24d69e025 https://hal.archives-ouvertes.fr/hal-01587329 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....4c6dd4f999748453981e84b24d69e025 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 01678809 |
|---|