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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint 2020 France, France, Netherlands, France, United Kingdom, Austria, BelgiumPublisher:Copernicus GmbH Funded by:EC | VERIFYEC| VERIFYFrédéric Chevallier; Pierre Regnier; Julia Pongratz; Atul K. Jain; Roxana Petrescu; Robert J. Scholes; Pep Canadell; Masayuki Kondo; Hui Yang; Marielle Saunois; Bo Zheng; Wouter Peters; Wouter Peters; Benjamin Poulter; Benjamin Poulter; Benjamin Poulter; Matthew W. Jones; Hanqin Tian; Xuhui Wang; Shilong Piao; Shilong Piao; Ronny Lauerwald; Ronny Lauerwald; Ingrid T. Luijkx; Anatoli Shvidenko; Anatoli Shvidenko; Gustaf Hugelius; Celso von Randow; Chunjing Qiu; Robert B. Jackson; Robert B. Jackson; Prabir K. Patra; Philippe Ciais; Ana Bastos;Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 63 citations 63 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint 2020 France, France, Netherlands, France, United Kingdom, Austria, BelgiumPublisher:Copernicus GmbH Funded by:EC | VERIFYEC| VERIFYFrédéric Chevallier; Pierre Regnier; Julia Pongratz; Atul K. Jain; Roxana Petrescu; Robert J. Scholes; Pep Canadell; Masayuki Kondo; Hui Yang; Marielle Saunois; Bo Zheng; Wouter Peters; Wouter Peters; Benjamin Poulter; Benjamin Poulter; Benjamin Poulter; Matthew W. Jones; Hanqin Tian; Xuhui Wang; Shilong Piao; Shilong Piao; Ronny Lauerwald; Ronny Lauerwald; Ingrid T. Luijkx; Anatoli Shvidenko; Anatoli Shvidenko; Gustaf Hugelius; Celso von Randow; Chunjing Qiu; Robert B. Jackson; Robert B. Jackson; Prabir K. Patra; Philippe Ciais; Ana Bastos;Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 63 citations 63 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 France, Spain, United Kingdom, BelgiumPublisher:Copernicus GmbH A. Bastos; P. Ciais; F. Chevallier; C. Rödenbeck; A. P. Ballantyne; A. P. Ballantyne; F. Maignan; Y. Yin; M. Fernández-Martínez; P. Friedlingstein; J. Peñuelas; J. Peñuelas; S. L. Piao; S. Sitch; W. K. Smith; X. Wang; Z. Zhu; V. Haverd; E. Kato; A. K. Jain; S. Lienert; D. Lombardozzi; J. E. M. S. Nabel; P. Peylin; B. Poulter; D. Zhu;Abstract. Continuous atmospheric CO2 monitoring data indicate an increase in seasonal-cycle amplitude (SCA) of CO2 exchange in northern high latitudes. The major drivers of enhanced SCA remain unclear and intensely debated with land-use change, CO2 fertilization and warming identified as likely contributors. We integrated CO2-flux data from two atmospheric inversions (consistent with atmospheric records) and from and 11 state-of-the-art land-surface models (LSMs) to evaluate the relative importance of individual contributors to trends and drivers of the SCA of CO2-fluxes for 1980−2015. The LSMs generally reproduce the latitudinal increase in SCA trends within the inversions range. Inversions and LSMs attribute SCA increase to boreal Asia and Europe due to enhanced vegetation productivity (in LSMs) and point to contrasting effects of CO2 fertilisation (positive) and warming (negative) on SCA. Our results do not support land-use change as a key contributor to the increase in SCA. The sensitivity of simulated microbial respiration to temperature in LSMs explained biases in SCA trends, which suggests SCA could help to constrain model turnover times.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 France, Spain, United Kingdom, BelgiumPublisher:Copernicus GmbH A. Bastos; P. Ciais; F. Chevallier; C. Rödenbeck; A. P. Ballantyne; A. P. Ballantyne; F. Maignan; Y. Yin; M. Fernández-Martínez; P. Friedlingstein; J. Peñuelas; J. Peñuelas; S. L. Piao; S. Sitch; W. K. Smith; X. Wang; Z. Zhu; V. Haverd; E. Kato; A. K. Jain; S. Lienert; D. Lombardozzi; J. E. M. S. Nabel; P. Peylin; B. Poulter; D. Zhu;Abstract. Continuous atmospheric CO2 monitoring data indicate an increase in seasonal-cycle amplitude (SCA) of CO2 exchange in northern high latitudes. The major drivers of enhanced SCA remain unclear and intensely debated with land-use change, CO2 fertilization and warming identified as likely contributors. We integrated CO2-flux data from two atmospheric inversions (consistent with atmospheric records) and from and 11 state-of-the-art land-surface models (LSMs) to evaluate the relative importance of individual contributors to trends and drivers of the SCA of CO2-fluxes for 1980−2015. The LSMs generally reproduce the latitudinal increase in SCA trends within the inversions range. Inversions and LSMs attribute SCA increase to boreal Asia and Europe due to enhanced vegetation productivity (in LSMs) and point to contrasting effects of CO2 fertilisation (positive) and warming (negative) on SCA. Our results do not support land-use change as a key contributor to the increase in SCA. The sensitivity of simulated microbial respiration to temperature in LSMs explained biases in SCA trends, which suggests SCA could help to constrain model turnover times.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 Netherlands, Switzerland, United Kingdom, United Kingdom, Norway, Netherlands, France, Netherlands, United Kingdom, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:SNSF | Klima- und Umweltphysik, EC | GEOCARBON, EC | COMBINE +3 projectsSNSF| Klima- und Umweltphysik ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental Physics ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| CARBOCHANGEClare Enright; Chris Huntingford; Peter Levy; Atul K. Jain; Richard A. Houghton; Laurent Bopp; Samuel Levis; Anders Ahlström; Gregg Marland; Jörg Schwinger; Jörg Schwinger; C. Le Quéré; Ning Zeng; Joanna Isobel House; Thomas J. Conway; Robert J. Andres; Sönke Zaehle; Etsushi Kato; Philippe Ciais; G. R. van der Werf; Tom Boden; Michael R. Raupach; Benjamin D. Stocker; Kees Klein Goldewijk; Kees Klein Goldewijk; Benjamin Poulter; Stephen Sitch; Ralph F. Keeling; Pierre Friedlingstein; Scott C. Doney; Mark R. Lomas; Glen P. Peters; Josep G. Canadell; Robbie M. Andrew; Nicolas Viovy; C. Jourdain; C. Jourdain;Abstract. Accurate assessments of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 &pm; 0.4 PgC yr−1, ELUC 1.0 &pm; 0.5 PgC yr−1, GATM 4.3 &pm; 0.1 PgC yr−1, SOCEAN 2.5 &pm; 0.5 PgC yr−1, and SLAND 2.6 &pm; 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 &pm; 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 &pm; 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 &pm; 0.2 PgC yr−1, SOCEAN was 2.7 &pm; 0.5 PgC yr−1, and SLAND was 4.1 &pm; 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 &pm; 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as &pm;1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_V2013). Global carbon budget 2013
NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 654 citations 654 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 Netherlands, Switzerland, United Kingdom, United Kingdom, Norway, Netherlands, France, Netherlands, United Kingdom, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:SNSF | Klima- und Umweltphysik, EC | GEOCARBON, EC | COMBINE +3 projectsSNSF| Klima- und Umweltphysik ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental Physics ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| CARBOCHANGEClare Enright; Chris Huntingford; Peter Levy; Atul K. Jain; Richard A. Houghton; Laurent Bopp; Samuel Levis; Anders Ahlström; Gregg Marland; Jörg Schwinger; Jörg Schwinger; C. Le Quéré; Ning Zeng; Joanna Isobel House; Thomas J. Conway; Robert J. Andres; Sönke Zaehle; Etsushi Kato; Philippe Ciais; G. R. van der Werf; Tom Boden; Michael R. Raupach; Benjamin D. Stocker; Kees Klein Goldewijk; Kees Klein Goldewijk; Benjamin Poulter; Stephen Sitch; Ralph F. Keeling; Pierre Friedlingstein; Scott C. Doney; Mark R. Lomas; Glen P. Peters; Josep G. Canadell; Robbie M. Andrew; Nicolas Viovy; C. Jourdain; C. Jourdain;Abstract. Accurate assessments of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 &pm; 0.4 PgC yr−1, ELUC 1.0 &pm; 0.5 PgC yr−1, GATM 4.3 &pm; 0.1 PgC yr−1, SOCEAN 2.5 &pm; 0.5 PgC yr−1, and SLAND 2.6 &pm; 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 &pm; 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 &pm; 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 &pm; 0.2 PgC yr−1, SOCEAN was 2.7 &pm; 0.5 PgC yr−1, and SLAND was 4.1 &pm; 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 &pm; 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as &pm;1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_V2013). Global carbon budget 2013
NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 654 citations 654 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Springer Science and Business Media LLC Yi Xi; Shushi Peng; Agnès Ducharne; Philippe Ciais; Thomas Gumbricht; Carlos Jiménez; Benjamin Poulter; Catherine Prigent; Chunjing Qiu; Marielle Saunois; Zhen Zhang;handle: 10568/120561
AbstractDynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced an ensemble of 28 gridded maps of monthly global/regional wetland extents (with more reliable estimates at mid-low latitudes) for 1980–2020 at 0.25° × 0.25° spatial resolution, calibrated with a combination of four observation-based wetland data and seven gridded soil moisture reanalysis datasets. The gridded dynamic maps of wetlands capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with independent satellite-based terrestrial water storage estimates over wetland areas. The long temporal coverage extending beyond the era of satellite datasets, the global coverage, and the opportunity to provide real-time updates from ongoing soil moisture data make these products helpful for various applications such as analyzing the wetland-related methane emission.
Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Springer Science and Business Media LLC Yi Xi; Shushi Peng; Agnès Ducharne; Philippe Ciais; Thomas Gumbricht; Carlos Jiménez; Benjamin Poulter; Catherine Prigent; Chunjing Qiu; Marielle Saunois; Zhen Zhang;handle: 10568/120561
AbstractDynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced an ensemble of 28 gridded maps of monthly global/regional wetland extents (with more reliable estimates at mid-low latitudes) for 1980–2020 at 0.25° × 0.25° spatial resolution, calibrated with a combination of four observation-based wetland data and seven gridded soil moisture reanalysis datasets. The gridded dynamic maps of wetlands capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with independent satellite-based terrestrial water storage estimates over wetland areas. The long temporal coverage extending beyond the era of satellite datasets, the global coverage, and the opportunity to provide real-time updates from ongoing soil moisture data make these products helpful for various applications such as analyzing the wetland-related methane emission.
Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Wiley Authors: Andrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; +8 AuthorsAndrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; Katherine M. Renwick; Bethany A. Bradley; Benjamin Poulter; Benjamin Poulter; Caroline A. Curtis; Daniel R. Schlaepfer; Daniel R. Schlaepfer; Daniel R. Schlaepfer;doi: 10.1111/gcb.13900
pmid: 28895271
AbstractA number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi‐model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity ofA. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi‐model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Wiley Authors: Andrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; +8 AuthorsAndrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; Katherine M. Renwick; Bethany A. Bradley; Benjamin Poulter; Benjamin Poulter; Caroline A. Curtis; Daniel R. Schlaepfer; Daniel R. Schlaepfer; Daniel R. Schlaepfer;doi: 10.1111/gcb.13900
pmid: 28895271
AbstractA number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi‐model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity ofA. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi‐model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 France, United States, United StatesPublisher:IOP Publishing Funded by:NSF | SI2-SSI: REAL-TIME LARGE-...NSF| SI2-SSI: REAL-TIME LARGE-SCALE PARALLEL INTELLIGENT CO2 DATA ASSIMILATION SYSTEMYuanyuan Fang; A. M. Michalak; Christopher R. Schwalm; D. N. Huntzinger; Joseph A. Berry; Philippe Ciais; Shilong Piao; Benjamin Poulter; Joshua B. Fisher; Robert B. Cook; D. J. Hayes; Maoyi Huang; Akihiko Ito; Atul K. Jain; Huimin Lei; Chaoqun Lü; Jiafu Mao; Nicholas C. Parazoo; Shushi Peng; Daniel M. Ricciuto; Xiaoying Shi; Bo Tao; Hanqin Tian; Weile Wang; Yaxing Wei; Jia Yang;handle: 20.500.12876/23242
La variabilidad climática asociada con El Niño-Oscilación del Sur (Enos) y sus consiguientes impactos en la variabilidad interanual del sumidero de carbono terrestre se ha utilizado como base para investigar las respuestas del ciclo del carbono a la variabilidad climática de manera más amplia y para informar la sensibilidad del presupuesto de carbono tropical al cambio climático. Estudios anteriores han presentado puntos de vista opuestos sobre si la temperatura o la precipitación es el factor principal que impulsa la respuesta del sumidero de carbono terrestre a Enos. Aquí, mostramos que el controlador dominante varía con la fase ENSO. Mientras que la temperatura tropical explica la dinámica del sumidero después de las condiciones de El Niño (rTG,P = 0,59, p < 0,01), el sumidero posterior a La Niña es impulsado en gran medida por la precipitación tropical (rPG,T =-0,46, p = 0,04). Este hallazgo apunta a una interacción dependiente de la fase ENSO entre la disponibilidad de agua y la temperatura en el control de la respuesta de absorción de carbono a las variaciones climáticas en los ecosistemas tropicales. Además, encontramos que ninguno de un conjunto de diez modelos de biosfera terrestre contemporáneos captura estas respuestas dependientes de la fase ENSO, lo que destaca una incertidumbre clave en el modelado de los impactos climáticos en el futuro del sumidero mundial de carbono terrestre. La variabilité climatique associée à l'oscillation australe El Niño (ENSO) et ses impacts sur la variabilité interannuelle des puits de carbone terrestres ont été utilisés comme base pour étudier les réponses du cycle du carbone à la variabilité climatique plus largement, et pour informer la sensibilité du budget carbone tropical au changement climatique. Des études antérieures ont présenté des points de vue opposés sur la question de savoir si la température ou les précipitations sont le principal facteur déterminant la réponse du puits de carbone terrestre à l'ENSO. Ici, nous montrons que le facteur dominant varie avec la phase ENSO. Alors que la température tropicale explique la dynamique du puits suite aux conditions El Niño (rTG,P = 0,59, p < 0,01), le puits post La Niña est largement entraîné par les précipitations tropicales (rPG,T = −0,46, p = 0,04). Cette constatation indique une interaction dépendante de la phase ENSO entre la disponibilité de l'eau et la température dans le contrôle de la réponse de l'absorption de carbone aux variations climatiques dans les écosystèmes tropicaux. Nous constatons en outre qu'aucun des dix modèles contemporains de la biosphère terrestre ne capture ces réponses dépendantes de la phase ENSO, mettant en évidence une incertitude clé dans la modélisation des impacts climatiques sur l'avenir du puits de carbone terrestre mondial. Climate variability associated with the El Niño-Southern Oscillation (ENSO) and its consequent impacts on land carbon sink interannual variability have been used as a basis for investigating carbon cycle responses to climate variability more broadly, and to inform the sensitivity of the tropical carbon budget to climate change. Past studies have presented opposing views about whether temperature or precipitation is the primary factor driving the response of the land carbon sink to ENSO. Here, we show that the dominant driver varies with ENSO phase. Whereas tropical temperature explains sink dynamics following El Niño conditions (rTG,P = 0.59, p < 0.01), the post La Niña sink is driven largely by tropical precipitation (rPG,T = −0.46, p = 0.04). This finding points to an ENSO-phase-dependent interplay between water availability and temperature in controlling the carbon uptake response to climate variations in tropical ecosystems. We further find that none of a suite of ten contemporary terrestrial biosphere models captures these ENSO-phase-dependent responses, highlighting a key uncertainty in modeling climate impacts on the future of the global land carbon sink. تم استخدام التقلبات المناخية المرتبطة بالتذبذب الجنوبي لظاهرة النينيو (ENSO) وما يترتب عليها من آثار على التقلبات السنوية لمصارف الكربون الأرضية كأساس للتحقيق في استجابات دورة الكربون لتقلبات المناخ على نطاق أوسع، ولإبلاغ حساسية ميزانية الكربون المدارية لتغير المناخ. قدمت الدراسات السابقة وجهات نظر متعارضة حول ما إذا كانت درجة الحرارة أو هطول الأمطار هي العامل الرئيسي الذي يدفع استجابة بالوعة الكربون الأرضية إلى ENSO. هنا، نظهر أن المحرك المهيمن يختلف باختلاف مرحلة ENSO. في حين أن درجة الحرارة المدارية تفسر ديناميكيات الحوض بعد ظروف النينيو (rTG،P = 0.59، P < 0.01)، فإن حوض ما بعد النينيا مدفوع إلى حد كبير بهطول الأمطار المدارية (rPG،T = -0.46، P = 0.04). تشير هذه النتيجة إلى تفاعل يعتمد على مرحلة ENSO بين توافر المياه ودرجة الحرارة في التحكم في استجابة امتصاص الكربون للتغيرات المناخية في النظم الإيكولوجية المدارية. كما نجد أن أياً من مجموعة من عشرة نماذج معاصرة للمحيط الحيوي الأرضي لا يلتقط هذه الاستجابات التي تعتمد على مرحلة ENSO، مما يسلط الضوء على عدم اليقين الرئيسي في نمذجة التأثيرات المناخية على مستقبل بالوعة الكربون الأرضية العالمية.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 France, United States, United StatesPublisher:IOP Publishing Funded by:NSF | SI2-SSI: REAL-TIME LARGE-...NSF| SI2-SSI: REAL-TIME LARGE-SCALE PARALLEL INTELLIGENT CO2 DATA ASSIMILATION SYSTEMYuanyuan Fang; A. M. Michalak; Christopher R. Schwalm; D. N. Huntzinger; Joseph A. Berry; Philippe Ciais; Shilong Piao; Benjamin Poulter; Joshua B. Fisher; Robert B. Cook; D. J. Hayes; Maoyi Huang; Akihiko Ito; Atul K. Jain; Huimin Lei; Chaoqun Lü; Jiafu Mao; Nicholas C. Parazoo; Shushi Peng; Daniel M. Ricciuto; Xiaoying Shi; Bo Tao; Hanqin Tian; Weile Wang; Yaxing Wei; Jia Yang;handle: 20.500.12876/23242
La variabilidad climática asociada con El Niño-Oscilación del Sur (Enos) y sus consiguientes impactos en la variabilidad interanual del sumidero de carbono terrestre se ha utilizado como base para investigar las respuestas del ciclo del carbono a la variabilidad climática de manera más amplia y para informar la sensibilidad del presupuesto de carbono tropical al cambio climático. Estudios anteriores han presentado puntos de vista opuestos sobre si la temperatura o la precipitación es el factor principal que impulsa la respuesta del sumidero de carbono terrestre a Enos. Aquí, mostramos que el controlador dominante varía con la fase ENSO. Mientras que la temperatura tropical explica la dinámica del sumidero después de las condiciones de El Niño (rTG,P = 0,59, p < 0,01), el sumidero posterior a La Niña es impulsado en gran medida por la precipitación tropical (rPG,T =-0,46, p = 0,04). Este hallazgo apunta a una interacción dependiente de la fase ENSO entre la disponibilidad de agua y la temperatura en el control de la respuesta de absorción de carbono a las variaciones climáticas en los ecosistemas tropicales. Además, encontramos que ninguno de un conjunto de diez modelos de biosfera terrestre contemporáneos captura estas respuestas dependientes de la fase ENSO, lo que destaca una incertidumbre clave en el modelado de los impactos climáticos en el futuro del sumidero mundial de carbono terrestre. La variabilité climatique associée à l'oscillation australe El Niño (ENSO) et ses impacts sur la variabilité interannuelle des puits de carbone terrestres ont été utilisés comme base pour étudier les réponses du cycle du carbone à la variabilité climatique plus largement, et pour informer la sensibilité du budget carbone tropical au changement climatique. Des études antérieures ont présenté des points de vue opposés sur la question de savoir si la température ou les précipitations sont le principal facteur déterminant la réponse du puits de carbone terrestre à l'ENSO. Ici, nous montrons que le facteur dominant varie avec la phase ENSO. Alors que la température tropicale explique la dynamique du puits suite aux conditions El Niño (rTG,P = 0,59, p < 0,01), le puits post La Niña est largement entraîné par les précipitations tropicales (rPG,T = −0,46, p = 0,04). Cette constatation indique une interaction dépendante de la phase ENSO entre la disponibilité de l'eau et la température dans le contrôle de la réponse de l'absorption de carbone aux variations climatiques dans les écosystèmes tropicaux. Nous constatons en outre qu'aucun des dix modèles contemporains de la biosphère terrestre ne capture ces réponses dépendantes de la phase ENSO, mettant en évidence une incertitude clé dans la modélisation des impacts climatiques sur l'avenir du puits de carbone terrestre mondial. Climate variability associated with the El Niño-Southern Oscillation (ENSO) and its consequent impacts on land carbon sink interannual variability have been used as a basis for investigating carbon cycle responses to climate variability more broadly, and to inform the sensitivity of the tropical carbon budget to climate change. Past studies have presented opposing views about whether temperature or precipitation is the primary factor driving the response of the land carbon sink to ENSO. Here, we show that the dominant driver varies with ENSO phase. Whereas tropical temperature explains sink dynamics following El Niño conditions (rTG,P = 0.59, p < 0.01), the post La Niña sink is driven largely by tropical precipitation (rPG,T = −0.46, p = 0.04). This finding points to an ENSO-phase-dependent interplay between water availability and temperature in controlling the carbon uptake response to climate variations in tropical ecosystems. We further find that none of a suite of ten contemporary terrestrial biosphere models captures these ENSO-phase-dependent responses, highlighting a key uncertainty in modeling climate impacts on the future of the global land carbon sink. تم استخدام التقلبات المناخية المرتبطة بالتذبذب الجنوبي لظاهرة النينيو (ENSO) وما يترتب عليها من آثار على التقلبات السنوية لمصارف الكربون الأرضية كأساس للتحقيق في استجابات دورة الكربون لتقلبات المناخ على نطاق أوسع، ولإبلاغ حساسية ميزانية الكربون المدارية لتغير المناخ. قدمت الدراسات السابقة وجهات نظر متعارضة حول ما إذا كانت درجة الحرارة أو هطول الأمطار هي العامل الرئيسي الذي يدفع استجابة بالوعة الكربون الأرضية إلى ENSO. هنا، نظهر أن المحرك المهيمن يختلف باختلاف مرحلة ENSO. في حين أن درجة الحرارة المدارية تفسر ديناميكيات الحوض بعد ظروف النينيو (rTG،P = 0.59، P < 0.01)، فإن حوض ما بعد النينيا مدفوع إلى حد كبير بهطول الأمطار المدارية (rPG،T = -0.46، P = 0.04). تشير هذه النتيجة إلى تفاعل يعتمد على مرحلة ENSO بين توافر المياه ودرجة الحرارة في التحكم في استجابة امتصاص الكربون للتغيرات المناخية في النظم الإيكولوجية المدارية. كما نجد أن أياً من مجموعة من عشرة نماذج معاصرة للمحيط الحيوي الأرضي لا يلتقط هذه الاستجابات التي تعتمد على مرحلة ENSO، مما يسلط الضوء على عدم اليقين الرئيسي في نمذجة التأثيرات المناخية على مستقبل بالوعة الكربون الأرضية العالمية.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/aa6e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/aa6e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2013 France, United KingdomPublisher:The Royal Society Fisher, Joshua; Sikka, Munish; Sitch, Stephen; Ciais, Philippe; Poulter, Benjamin; Galbraith, David; Lee, Jung-Eun; Huntingford, Chris; Viovy, Nicolas; Zeng, Ning; Ahlström, Anders; Lomas, Mark; Levy, Peter; Frankenberg, Christian; Saatchi, Sassan; Malhi, Yadvinder;The African humid tropical biome constitutes the second largest rainforest region, significantly impacts global carbon cycling and climate, and has undergone major changes in functioning owing to climate and land-use change over the past century. We assess changes and trends in CO 2 fluxes from 1901 to 2010 using nine land surface models forced with common driving data, and depict the inter-model variability as the uncertainty in fluxes. The biome is estimated to be a natural (no disturbance) net carbon sink (−0.02 kg C m −2 yr −1 or −0.04 Pg C yr −1 , p < 0.05) with increasing strength fourfold in the second half of the century. The models were in close agreement on net CO 2 flux at the beginning of the century ( σ 1901 = 0.02 kg C m −2 yr −1 ), but diverged exponentially throughout the century ( σ 2010 = 0.03 kg C m −2 yr −1 ). The increasing uncertainty is due to differences in sensitivity to increasing atmospheric CO 2 , but not increasing water stress, despite a decrease in precipitation and increase in air temperature. However, the largest uncertainties were associated with the most extreme drought events of the century. These results highlight the need to constrain modelled CO 2 fluxes with increasing atmospheric CO 2 concentrations and extreme climatic events, as the uncertainties will only amplify in the next century.
NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2013 France, United KingdomPublisher:The Royal Society Fisher, Joshua; Sikka, Munish; Sitch, Stephen; Ciais, Philippe; Poulter, Benjamin; Galbraith, David; Lee, Jung-Eun; Huntingford, Chris; Viovy, Nicolas; Zeng, Ning; Ahlström, Anders; Lomas, Mark; Levy, Peter; Frankenberg, Christian; Saatchi, Sassan; Malhi, Yadvinder;The African humid tropical biome constitutes the second largest rainforest region, significantly impacts global carbon cycling and climate, and has undergone major changes in functioning owing to climate and land-use change over the past century. We assess changes and trends in CO 2 fluxes from 1901 to 2010 using nine land surface models forced with common driving data, and depict the inter-model variability as the uncertainty in fluxes. The biome is estimated to be a natural (no disturbance) net carbon sink (−0.02 kg C m −2 yr −1 or −0.04 Pg C yr −1 , p < 0.05) with increasing strength fourfold in the second half of the century. The models were in close agreement on net CO 2 flux at the beginning of the century ( σ 1901 = 0.02 kg C m −2 yr −1 ), but diverged exponentially throughout the century ( σ 2010 = 0.03 kg C m −2 yr −1 ). The increasing uncertainty is due to differences in sensitivity to increasing atmospheric CO 2 , but not increasing water stress, despite a decrease in precipitation and increase in air temperature. However, the largest uncertainties were associated with the most extreme drought events of the century. These results highlight the need to constrain modelled CO 2 fluxes with increasing atmospheric CO 2 concentrations and extreme climatic events, as the uncertainties will only amplify in the next century.
NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Review , Journal 2017Embargo end date: 09 Aug 2017 Netherlands, Switzerland, Netherlands, France, Belgium, Netherlands, Netherlands, GermanyPublisher:Copernicus GmbH Funded by:ANR | L-IPSL, EC | GEOCARBON, FCT | Center for Environmental ... +1 projectsANR| L-IPSL ,EC| GEOCARBON ,FCT| Center for Environmental and Sustainability Research ,EC| BACIJ. Zscheischler; J. Zscheischler; M. D. Mahecha; M. D. Mahecha; M. D. Mahecha; V. Avitabile; L. Calle; N. Carvalhais; N. Carvalhais; P. Ciais; F. Gans; N. Gruber; J. Hartmann; M. Herold; K. Ichii; K. Ichii; M. Jung; P. Landschützer; P. Landschützer; G. G. Laruelle; R. Lauerwald; R. Lauerwald; D. Papale; P. Peylin; B. Poulter; B. Poulter; D. Ray; P. Regnier; C. Rödenbeck; R. M. Roman-Cuesta; C. Schwalm; G. Tramontana; A. Tyukavina; R. Valentini; G. van der Werf; T. O. West; J. E. Wolf; M. Reichstein; M. Reichstein; M. Reichstein;Abstract. Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface–atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of the carbon dioxide (CO2) exchange of the ocean, inland freshwaters and the land surface with the atmosphere. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface–atmosphere CO2 fluxes from 2001 to 2010, to identify the state of today's observational opportunities and data limitations. The considered fluxes include net exchange of open oceans, continental shelves, estuaries, rivers, and lakes, as well as CO2 fluxes related to net ecosystem productivity, fire emissions, loss of tropical aboveground C, harvested wood and crops, as well as fossil fuel and cement emissions. Spatially explicit CO2 fluxes are obtained through geostatistical and/or remote-sensing-based upscaling, thereby minimizing biophysical or biogeochemical assumptions encoded in process-based models. We estimate a bottom-up net C exchange (NCE) between the surface (land, ocean, and coastal areas) and the atmosphere. Though we provide also global estimates, the primary goal of this study is to identify key uncertainties and observational shortcomings that need to be prioritized in the expansion of in situ observatories. Uncertainties for NCE and its components are derived using resampling. In many regions, our NCE estimates agree well with independent estimates from other sources such as process-based models and atmospheric inversions. This holds for Europe (mean ± 1 SD: 0.8 ± 0.1 PgC yr−1, positive numbers are sources to the atmosphere), Russia (0.1 ± 0.4 PgC yr−1), East Asia (1.6 ± 0.3 PgC yr−1), South Asia (0.3 ± 0.1 PgC yr−1), Australia (0.2 ± 0.3 PgC yr−1), and most of the Ocean regions. Our NCE estimates give a likely too large CO2 sink in tropical areas such as the Amazon, Congo, and Indonesia. Overall, and because of the overestimated CO2 uptake in tropical lands, our global bottom-up NCE amounts to a net sink of −5.4 ± 2.0 PgC yr−1. By contrast, the accurately measured mean atmospheric growth rate of CO2 over 2001–2010 indicates that the true value of NCE is a net CO2 source of 4.3 ± 0.1 PgC yr−1. This mismatch of nearly 10 PgC yr−1 highlights observational gaps and limitations of data-driven models in tropical lands, but also in North America. Our uncertainty assessment provides the basis for setting priority regions where to increase carbon observations in the future. High on the priority list are tropical land regions, which suffer from a lack of in situ observations. Second, extensive pCO2 data are missing in the Southern Ocean. Third, we lack observations that could enable seasonal estimates of shelf, estuary, and inland water–atmosphere C exchange. Our consistent derivation of data uncertainties could serve as prior knowledge in multicriteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) and atmospheric inversions, without over- or under-stating bottom-up data credibility. In the future, NCE estimates of carbon sinks could be aggregated at national scale to compare with the official national inventories of CO2 fluxes in the land use, land use change, and forestry sector, upon which future emission reductions are proposed.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 62 citations 62 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Review , Journal 2017Embargo end date: 09 Aug 2017 Netherlands, Switzerland, Netherlands, France, Belgium, Netherlands, Netherlands, GermanyPublisher:Copernicus GmbH Funded by:ANR | L-IPSL, EC | GEOCARBON, FCT | Center for Environmental ... +1 projectsANR| L-IPSL ,EC| GEOCARBON ,FCT| Center for Environmental and Sustainability Research ,EC| BACIJ. Zscheischler; J. Zscheischler; M. D. Mahecha; M. D. Mahecha; M. D. Mahecha; V. Avitabile; L. Calle; N. Carvalhais; N. Carvalhais; P. Ciais; F. Gans; N. Gruber; J. Hartmann; M. Herold; K. Ichii; K. Ichii; M. Jung; P. Landschützer; P. Landschützer; G. G. Laruelle; R. Lauerwald; R. Lauerwald; D. Papale; P. Peylin; B. Poulter; B. Poulter; D. Ray; P. Regnier; C. Rödenbeck; R. M. Roman-Cuesta; C. Schwalm; G. Tramontana; A. Tyukavina; R. Valentini; G. van der Werf; T. O. West; J. E. Wolf; M. Reichstein; M. Reichstein; M. Reichstein;Abstract. Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface–atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of the carbon dioxide (CO2) exchange of the ocean, inland freshwaters and the land surface with the atmosphere. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface–atmosphere CO2 fluxes from 2001 to 2010, to identify the state of today's observational opportunities and data limitations. The considered fluxes include net exchange of open oceans, continental shelves, estuaries, rivers, and lakes, as well as CO2 fluxes related to net ecosystem productivity, fire emissions, loss of tropical aboveground C, harvested wood and crops, as well as fossil fuel and cement emissions. Spatially explicit CO2 fluxes are obtained through geostatistical and/or remote-sensing-based upscaling, thereby minimizing biophysical or biogeochemical assumptions encoded in process-based models. We estimate a bottom-up net C exchange (NCE) between the surface (land, ocean, and coastal areas) and the atmosphere. Though we provide also global estimates, the primary goal of this study is to identify key uncertainties and observational shortcomings that need to be prioritized in the expansion of in situ observatories. Uncertainties for NCE and its components are derived using resampling. In many regions, our NCE estimates agree well with independent estimates from other sources such as process-based models and atmospheric inversions. This holds for Europe (mean ± 1 SD: 0.8 ± 0.1 PgC yr−1, positive numbers are sources to the atmosphere), Russia (0.1 ± 0.4 PgC yr−1), East Asia (1.6 ± 0.3 PgC yr−1), South Asia (0.3 ± 0.1 PgC yr−1), Australia (0.2 ± 0.3 PgC yr−1), and most of the Ocean regions. Our NCE estimates give a likely too large CO2 sink in tropical areas such as the Amazon, Congo, and Indonesia. Overall, and because of the overestimated CO2 uptake in tropical lands, our global bottom-up NCE amounts to a net sink of −5.4 ± 2.0 PgC yr−1. By contrast, the accurately measured mean atmospheric growth rate of CO2 over 2001–2010 indicates that the true value of NCE is a net CO2 source of 4.3 ± 0.1 PgC yr−1. This mismatch of nearly 10 PgC yr−1 highlights observational gaps and limitations of data-driven models in tropical lands, but also in North America. Our uncertainty assessment provides the basis for setting priority regions where to increase carbon observations in the future. High on the priority list are tropical land regions, which suffer from a lack of in situ observations. Second, extensive pCO2 data are missing in the Southern Ocean. Third, we lack observations that could enable seasonal estimates of shelf, estuary, and inland water–atmosphere C exchange. Our consistent derivation of data uncertainties could serve as prior knowledge in multicriteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) and atmospheric inversions, without over- or under-stating bottom-up data credibility. In the future, NCE estimates of carbon sinks could be aggregated at national scale to compare with the official national inventories of CO2 fluxes in the land use, land use change, and forestry sector, upon which future emission reductions are proposed.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 62 citations 62 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:American Geophysical Union (AGU) Authors: Guillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; +10 AuthorsGuillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; Fabiola Murguía‐Flores; Víctor J. Jaramillo; Montserrat Serrano‐Medrano; Miguel García‐García; Rodrigo Vargas; Abhishek Chatterjee; Anna Michalak; Zhen Zhang; Jonathan A. Wang; Benjamin Poulter;doi: 10.1029/2023jg007667
AbstractApplication of the best available science to improve quantification of greenhouse gas (GHG) emissions at regional and national scales is key to climate action. Here, we present a two‐decade (2000–2019) GHG (CO2, CH4, and N2O) budget for Mexico derived from multiple products. Data from the National GHG Inventory, global observations, and the scientific literature were compared to identify knowledge gaps on GHG flux dynamics and discrepancies among estimates. Total mean annual GHG emissions were estimated at 695–910 TgCO2‐eq year−1 over these two decades, with 70% of the emissions attributable to CO2, 23% to CH4, and 5% to N2O (2% to other gases). When divided by sectors, we found agreement across emission estimates from various sources for fossil fuels, cattle, agriculture, and waste for all GHGs. However, considerable discrepancies were identified in the fluxes from terrestrial ecosystems. The disagreement was particularly large for the land CO2 sink, where net biome production estimations from the national inventory were double those from any other observational product. Extensive knowledge gaps exist, mainly related to aquatic systems (e.g., outgassing in rivers) and the lateral fluxes (e.g., wood trade). In addition, limited information is available on CH4 emissions from wetlands and soil CH4 consumption. We expect these results to guide future research to reduce estimation uncertainties and fill the information gaps across Mexico.
Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007667&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007667&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:American Geophysical Union (AGU) Authors: Guillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; +10 AuthorsGuillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; Fabiola Murguía‐Flores; Víctor J. Jaramillo; Montserrat Serrano‐Medrano; Miguel García‐García; Rodrigo Vargas; Abhishek Chatterjee; Anna Michalak; Zhen Zhang; Jonathan A. Wang; Benjamin Poulter;doi: 10.1029/2023jg007667
AbstractApplication of the best available science to improve quantification of greenhouse gas (GHG) emissions at regional and national scales is key to climate action. Here, we present a two‐decade (2000–2019) GHG (CO2, CH4, and N2O) budget for Mexico derived from multiple products. Data from the National GHG Inventory, global observations, and the scientific literature were compared to identify knowledge gaps on GHG flux dynamics and discrepancies among estimates. Total mean annual GHG emissions were estimated at 695–910 TgCO2‐eq year−1 over these two decades, with 70% of the emissions attributable to CO2, 23% to CH4, and 5% to N2O (2% to other gases). When divided by sectors, we found agreement across emission estimates from various sources for fossil fuels, cattle, agriculture, and waste for all GHGs. However, considerable discrepancies were identified in the fluxes from terrestrial ecosystems. The disagreement was particularly large for the land CO2 sink, where net biome production estimations from the national inventory were double those from any other observational product. Extensive knowledge gaps exist, mainly related to aquatic systems (e.g., outgassing in rivers) and the lateral fluxes (e.g., wood trade). In addition, limited information is available on CH4 emissions from wetlands and soil CH4 consumption. We expect these results to guide future research to reduce estimation uncertainties and fill the information gaps across Mexico.
Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007667&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016 FrancePublisher:Stockholm University Press Funded by:NSF | CNH: Pluvials, Droughts, ..., NSF | Collaborative Research: E..., NSF | Collaborative Research: E... +1 projectsNSF| CNH: Pluvials, Droughts, Energetics, and the Mongol Empire ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSERCAkihiko Ito; Motoko Inatomi; D. N. Huntzinger; Christopher R. Schwalm; A. M. Michalak; Robert B. Cook; A. W. King; Jiafu Mao; Yaxing Wei; W. M. Post; Weile Wang; M. Altaf Arain; Shengfu Huang; D. J. Hayes; Daniel M. Ricciuto; Xiaoying Shi; Maoyi Huang; Huimin Lei; Hanqin Tian; Chaoqun Lü; Jia Yang; Bo Tao; Atul K. Jain; Benjamin Poulter; Shushi Peng; Philippe Ciais; Joshua B. Fisher; Nicholas C. Parazoo; Kevin Schaefer; Changhui Peng; Ning Zeng; Fang Zhao;L'amplitude du cycle saisonnier (ACS) du taux d'échange dioxyde de carbone (CO2) atmosphère-écosystème est une mesure utile de la réactivité de la biosphère terrestre aux variations environnementales. Il n'est cependant pas clair quels mécanismes sous-jacents sont responsables de la tendance à la hausse observée du SCA dans la concentration atmosphérique de CO2. À l'aide des données de sortie du Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), nous avons étudié dans quelle mesure le SCA de l'échange de CO2 atmosphère-écosystème a été simulé avec 15 modèles d'écosystèmes terrestres contemporains au cours de la période 1901–2010. En outre, nous avons tenté d'évaluer les contributions de mécanismes potentiels tels que le CO2 atmosphérique, le climat, l'utilisation des terres et les dépôts d'azote, à l'aide d'expériences factorielles utilisant différentes combinaisons de données de forçage. Dans des conditions contemporaines, le SCA simulé à l'échelle mondiale du flux net cumulé de carbone de l'écosystème de la plupart des modèles était comparable en ampleur au SCA des concentrations atmosphériques de CO2. Les résultats des expériences de simulation factorielle ont montré que le CO2 atmosphérique élevé exerçait une forte influence sur l'amplification de la saisonnalité. Lorsque le modèle a pris en compte non seulement le changement climatique, mais également les changements dans l'utilisation des terres et le CO2 atmosphérique, la majorité des modèles ont montré des tendances d'amplification des SCA de la photosynthèse, de la respiration et de la production nette de l'écosystème (+0,19 % à +0,50 % an−1). Dans le cas du changement d'affectation des terres, il était difficile de séparer la contribution de la gestion agricole au SCA en raison des insuffisances des données et des modèles. L'amplification simulée de l'ACS était approximativement compatible avec les preuves observationnelles de l'ACS dans les concentrations atmosphériques de CO2. De grandes différences entre les modèles sont toutefois restées dans les tendances mondiales simulées et les schémas spatiaux des échanges de CO2. D'autres études sont nécessaires pour identifier une explication cohérente des tendances d'amplification simulées et observées, y compris leurs mécanismes sous-jacents. Néanmoins, cette étude impliquait que la surveillance de la saisonnalité des écosystèmes fournirait des informations utiles sur la dynamique des écosystèmes. La amplitud del ciclo estacional (ACE) del tipo de cambio atmósfera-dióxido de carbono (CO2) del ecosistema es una métrica útil de la capacidad de respuesta de la biosfera terrestre a las variaciones ambientales. Sin embargo, no está claro qué mecanismos subyacentes son responsables de la tendencia creciente observada de SCA en la concentración atmosférica de CO2. Utilizando los datos de salida del Proyecto de Intercomparación de Modelos Terrestres Multiescala (MsTMIP), investigamos qué tan bien se simuló el SCA del intercambio de CO2 entre la atmósfera y el ecosistema con 15 modelos de ecosistemas terrestres contemporáneos durante el período 1901–2010. Además, intentamos evaluar las contribuciones de posibles mecanismos como el CO2 atmosférico, el clima, el uso de la tierra y la deposición de nitrógeno, a través de experimentos factoriales utilizando diferentes combinaciones de datos de forzamiento. En condiciones contemporáneas, el SCA simulado a escala global del flujo neto acumulado de carbono del ecosistema de la mayoría de los modelos fue comparable en magnitud con el SCA de las concentraciones atmosféricas de CO2. Los resultados de los experimentos de simulación factorial mostraron que el CO2 atmosférico elevado ejercía una fuerte influencia en la amplificación de la estacionalidad. Cuando el modelo consideró no solo el cambio climático, sino también el uso de la tierra y los cambios de CO2 atmosférico, la mayoría de los modelos mostraron tendencias de amplificación de los SCA de fotosíntesis, respiración y producción neta del ecosistema (+0,19 % a +0,50 % año−1). En el caso del cambio de uso de la tierra, fue difícil separar la contribución de la gestión agrícola a la ACS debido a las deficiencias tanto en los datos como en los modelos. La amplificación simulada de SCA fue aproximadamente consistente con la evidencia observada de SCA en concentraciones atmosféricas de CO2. Sin embargo, se mantuvieron grandes diferencias intermodales en las tendencias globales simuladas y los patrones espaciales de los intercambios de CO2. Se requieren más estudios para identificar una explicación coherente de las tendencias de amplificación simuladas y observadas, incluidos sus mecanismos subyacentes. Sin embargo, este estudio implicó que el monitoreo de la estacionalidad de los ecosistemas proporcionaría información útil sobre la dinámica de los ecosistemas. The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of SCA in atmospheric CO2 concentration. Using output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), we investigated how well the SCA of atmosphere–ecosystem CO2 exchange was simulated with 15 contemporary terrestrial ecosystem models during the period 1901–2010. Also, we made attempt to evaluate the contributions of potential mechanisms such as atmospheric CO2, climate, land-use, and nitrogen deposition, through factorial experiments using different combinations of forcing data. Under contemporary conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of atmospheric CO2 concentrations. Results from factorial simulation experiments showed that elevated atmospheric CO2 exerted a strong influence on the seasonality amplification. When the model considered not only climate change but also land-use and atmospheric CO2 changes, the majority of the models showed amplification trends of the SCAs of photosynthesis, respiration, and net ecosystem production (+0.19 % to +0.50 % yr−1). In the case of land-use change, it was difficult to separate the contribution of agricultural management to SCA because of inadequacies in both the data and models. The simulated amplification of SCA was approximately consistent with the observational evidence of the SCA in atmospheric CO2 concentrations. Large inter-model differences remained, however, in the simulated global tendencies and spatial patterns of CO2 exchanges. Further studies are required to identify a consistent explanation for the simulated and observed amplification trends, including their underlying mechanisms. Nevertheless, this study implied that monitoring of ecosystem seasonality would provide useful insights concerning ecosystem dynamics. تعد سعة الدورة الموسمية (SCA) لسعر صرف ثاني أكسيد الكربون في النظام البيئي للغلاف الجوي (CO2) مقياسًا مفيدًا لاستجابة المحيط الحيوي الأرضي للتغيرات البيئية. ومع ذلك، ليس من الواضح ما هي الآليات الأساسية المسؤولة عن الاتجاه المتزايد الملحوظ في تركيز ثاني أكسيد الكربون في الغلاف الجوي. باستخدام بيانات المخرجات من مشروع المقارنة البينية للنموذج الأرضي متعدد المقاييس (MsTMIP)، قمنا بالتحقيق في مدى محاكاة تبادل ثاني أكسيد الكربون في الغلاف الجوي مع 15 نموذجًا معاصرًا للنظام الإيكولوجي الأرضي خلال الفترة 1901–2010. كما حاولنا تقييم مساهمات الآليات المحتملة مثل ثاني أكسيد الكربون في الغلاف الجوي والمناخ واستخدام الأراضي وترسب النيتروجين، من خلال تجارب العوامل باستخدام مجموعات مختلفة من فرض البيانات. في ظل الظروف المعاصرة، كانت محاكاة تركيز ثاني أكسيد الكربون على المستوى العالمي لتدفق الكربون الصافي التراكمي للنظام الإيكولوجي لمعظم النماذج قابلة للمقارنة من حيث الحجم مع تركيزات ثاني أكسيد الكربون في الغلاف الجوي. أظهرت نتائج تجارب محاكاة العوامل أن ارتفاع ثاني أكسيد الكربون في الغلاف الجوي كان له تأثير قوي على التضخيم الموسمي. عندما نظر النموذج ليس فقط في تغير المناخ ولكن أيضًا في استخدام الأراضي وتغيرات ثاني أكسيد الكربون في الغلاف الجوي، أظهرت غالبية النماذج اتجاهات تضخيم SCAs للتمثيل الضوئي والتنفس وصافي إنتاج النظام البيئي (+0.19 ٪ إلى +0.50 ٪ سنة-1). في حالة تغيير استخدام الأراضي، كان من الصعب فصل مساهمة الإدارة الزراعية في هيئة الأوراق المالية والسلع بسبب أوجه القصور في كل من البيانات والنماذج. كان التضخيم المحاكى لـ SCA متسقًا تقريبًا مع الأدلة الرصدية لـ SCA في تركيزات ثاني أكسيد الكربون في الغلاف الجوي. ومع ذلك، لا تزال هناك اختلافات كبيرة بين النماذج في الاتجاهات العالمية المحاكاة والأنماط المكانية لتبادل ثاني أكسيد الكربون. هناك حاجة إلى مزيد من الدراسات لتحديد تفسير متسق لاتجاهات التضخيم المحاكاة والملاحظة، بما في ذلك آلياتها الأساسية. ومع ذلك، أشارت هذه الدراسة إلى أن رصد موسمية النظام الإيكولوجي من شأنه أن يوفر رؤى مفيدة بشأن ديناميات النظام الإيكولوجي.
Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016 FrancePublisher:Stockholm University Press Funded by:NSF | CNH: Pluvials, Droughts, ..., NSF | Collaborative Research: E..., NSF | Collaborative Research: E... +1 projectsNSF| CNH: Pluvials, Droughts, Energetics, and the Mongol Empire ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSERCAkihiko Ito; Motoko Inatomi; D. N. Huntzinger; Christopher R. Schwalm; A. M. Michalak; Robert B. Cook; A. W. King; Jiafu Mao; Yaxing Wei; W. M. Post; Weile Wang; M. Altaf Arain; Shengfu Huang; D. J. Hayes; Daniel M. Ricciuto; Xiaoying Shi; Maoyi Huang; Huimin Lei; Hanqin Tian; Chaoqun Lü; Jia Yang; Bo Tao; Atul K. Jain; Benjamin Poulter; Shushi Peng; Philippe Ciais; Joshua B. Fisher; Nicholas C. Parazoo; Kevin Schaefer; Changhui Peng; Ning Zeng; Fang Zhao;L'amplitude du cycle saisonnier (ACS) du taux d'échange dioxyde de carbone (CO2) atmosphère-écosystème est une mesure utile de la réactivité de la biosphère terrestre aux variations environnementales. Il n'est cependant pas clair quels mécanismes sous-jacents sont responsables de la tendance à la hausse observée du SCA dans la concentration atmosphérique de CO2. À l'aide des données de sortie du Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), nous avons étudié dans quelle mesure le SCA de l'échange de CO2 atmosphère-écosystème a été simulé avec 15 modèles d'écosystèmes terrestres contemporains au cours de la période 1901–2010. En outre, nous avons tenté d'évaluer les contributions de mécanismes potentiels tels que le CO2 atmosphérique, le climat, l'utilisation des terres et les dépôts d'azote, à l'aide d'expériences factorielles utilisant différentes combinaisons de données de forçage. Dans des conditions contemporaines, le SCA simulé à l'échelle mondiale du flux net cumulé de carbone de l'écosystème de la plupart des modèles était comparable en ampleur au SCA des concentrations atmosphériques de CO2. Les résultats des expériences de simulation factorielle ont montré que le CO2 atmosphérique élevé exerçait une forte influence sur l'amplification de la saisonnalité. Lorsque le modèle a pris en compte non seulement le changement climatique, mais également les changements dans l'utilisation des terres et le CO2 atmosphérique, la majorité des modèles ont montré des tendances d'amplification des SCA de la photosynthèse, de la respiration et de la production nette de l'écosystème (+0,19 % à +0,50 % an−1). Dans le cas du changement d'affectation des terres, il était difficile de séparer la contribution de la gestion agricole au SCA en raison des insuffisances des données et des modèles. L'amplification simulée de l'ACS était approximativement compatible avec les preuves observationnelles de l'ACS dans les concentrations atmosphériques de CO2. De grandes différences entre les modèles sont toutefois restées dans les tendances mondiales simulées et les schémas spatiaux des échanges de CO2. D'autres études sont nécessaires pour identifier une explication cohérente des tendances d'amplification simulées et observées, y compris leurs mécanismes sous-jacents. Néanmoins, cette étude impliquait que la surveillance de la saisonnalité des écosystèmes fournirait des informations utiles sur la dynamique des écosystèmes. La amplitud del ciclo estacional (ACE) del tipo de cambio atmósfera-dióxido de carbono (CO2) del ecosistema es una métrica útil de la capacidad de respuesta de la biosfera terrestre a las variaciones ambientales. Sin embargo, no está claro qué mecanismos subyacentes son responsables de la tendencia creciente observada de SCA en la concentración atmosférica de CO2. Utilizando los datos de salida del Proyecto de Intercomparación de Modelos Terrestres Multiescala (MsTMIP), investigamos qué tan bien se simuló el SCA del intercambio de CO2 entre la atmósfera y el ecosistema con 15 modelos de ecosistemas terrestres contemporáneos durante el período 1901–2010. Además, intentamos evaluar las contribuciones de posibles mecanismos como el CO2 atmosférico, el clima, el uso de la tierra y la deposición de nitrógeno, a través de experimentos factoriales utilizando diferentes combinaciones de datos de forzamiento. En condiciones contemporáneas, el SCA simulado a escala global del flujo neto acumulado de carbono del ecosistema de la mayoría de los modelos fue comparable en magnitud con el SCA de las concentraciones atmosféricas de CO2. Los resultados de los experimentos de simulación factorial mostraron que el CO2 atmosférico elevado ejercía una fuerte influencia en la amplificación de la estacionalidad. Cuando el modelo consideró no solo el cambio climático, sino también el uso de la tierra y los cambios de CO2 atmosférico, la mayoría de los modelos mostraron tendencias de amplificación de los SCA de fotosíntesis, respiración y producción neta del ecosistema (+0,19 % a +0,50 % año−1). En el caso del cambio de uso de la tierra, fue difícil separar la contribución de la gestión agrícola a la ACS debido a las deficiencias tanto en los datos como en los modelos. La amplificación simulada de SCA fue aproximadamente consistente con la evidencia observada de SCA en concentraciones atmosféricas de CO2. Sin embargo, se mantuvieron grandes diferencias intermodales en las tendencias globales simuladas y los patrones espaciales de los intercambios de CO2. Se requieren más estudios para identificar una explicación coherente de las tendencias de amplificación simuladas y observadas, incluidos sus mecanismos subyacentes. Sin embargo, este estudio implicó que el monitoreo de la estacionalidad de los ecosistemas proporcionaría información útil sobre la dinámica de los ecosistemas. The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of SCA in atmospheric CO2 concentration. Using output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), we investigated how well the SCA of atmosphere–ecosystem CO2 exchange was simulated with 15 contemporary terrestrial ecosystem models during the period 1901–2010. Also, we made attempt to evaluate the contributions of potential mechanisms such as atmospheric CO2, climate, land-use, and nitrogen deposition, through factorial experiments using different combinations of forcing data. Under contemporary conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of atmospheric CO2 concentrations. Results from factorial simulation experiments showed that elevated atmospheric CO2 exerted a strong influence on the seasonality amplification. When the model considered not only climate change but also land-use and atmospheric CO2 changes, the majority of the models showed amplification trends of the SCAs of photosynthesis, respiration, and net ecosystem production (+0.19 % to +0.50 % yr−1). In the case of land-use change, it was difficult to separate the contribution of agricultural management to SCA because of inadequacies in both the data and models. The simulated amplification of SCA was approximately consistent with the observational evidence of the SCA in atmospheric CO2 concentrations. Large inter-model differences remained, however, in the simulated global tendencies and spatial patterns of CO2 exchanges. Further studies are required to identify a consistent explanation for the simulated and observed amplification trends, including their underlying mechanisms. Nevertheless, this study implied that monitoring of ecosystem seasonality would provide useful insights concerning ecosystem dynamics. تعد سعة الدورة الموسمية (SCA) لسعر صرف ثاني أكسيد الكربون في النظام البيئي للغلاف الجوي (CO2) مقياسًا مفيدًا لاستجابة المحيط الحيوي الأرضي للتغيرات البيئية. ومع ذلك، ليس من الواضح ما هي الآليات الأساسية المسؤولة عن الاتجاه المتزايد الملحوظ في تركيز ثاني أكسيد الكربون في الغلاف الجوي. باستخدام بيانات المخرجات من مشروع المقارنة البينية للنموذج الأرضي متعدد المقاييس (MsTMIP)، قمنا بالتحقيق في مدى محاكاة تبادل ثاني أكسيد الكربون في الغلاف الجوي مع 15 نموذجًا معاصرًا للنظام الإيكولوجي الأرضي خلال الفترة 1901–2010. كما حاولنا تقييم مساهمات الآليات المحتملة مثل ثاني أكسيد الكربون في الغلاف الجوي والمناخ واستخدام الأراضي وترسب النيتروجين، من خلال تجارب العوامل باستخدام مجموعات مختلفة من فرض البيانات. في ظل الظروف المعاصرة، كانت محاكاة تركيز ثاني أكسيد الكربون على المستوى العالمي لتدفق الكربون الصافي التراكمي للنظام الإيكولوجي لمعظم النماذج قابلة للمقارنة من حيث الحجم مع تركيزات ثاني أكسيد الكربون في الغلاف الجوي. أظهرت نتائج تجارب محاكاة العوامل أن ارتفاع ثاني أكسيد الكربون في الغلاف الجوي كان له تأثير قوي على التضخيم الموسمي. عندما نظر النموذج ليس فقط في تغير المناخ ولكن أيضًا في استخدام الأراضي وتغيرات ثاني أكسيد الكربون في الغلاف الجوي، أظهرت غالبية النماذج اتجاهات تضخيم SCAs للتمثيل الضوئي والتنفس وصافي إنتاج النظام البيئي (+0.19 ٪ إلى +0.50 ٪ سنة-1). في حالة تغيير استخدام الأراضي، كان من الصعب فصل مساهمة الإدارة الزراعية في هيئة الأوراق المالية والسلع بسبب أوجه القصور في كل من البيانات والنماذج. كان التضخيم المحاكى لـ SCA متسقًا تقريبًا مع الأدلة الرصدية لـ SCA في تركيزات ثاني أكسيد الكربون في الغلاف الجوي. ومع ذلك، لا تزال هناك اختلافات كبيرة بين النماذج في الاتجاهات العالمية المحاكاة والأنماط المكانية لتبادل ثاني أكسيد الكربون. هناك حاجة إلى مزيد من الدراسات لتحديد تفسير متسق لاتجاهات التضخيم المحاكاة والملاحظة، بما في ذلك آلياتها الأساسية. ومع ذلك، أشارت هذه الدراسة إلى أن رصد موسمية النظام الإيكولوجي من شأنه أن يوفر رؤى مفيدة بشأن ديناميات النظام الإيكولوجي.
Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 36 citations 36 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint 2020 France, France, Netherlands, France, United Kingdom, Austria, BelgiumPublisher:Copernicus GmbH Funded by:EC | VERIFYEC| VERIFYFrédéric Chevallier; Pierre Regnier; Julia Pongratz; Atul K. Jain; Roxana Petrescu; Robert J. Scholes; Pep Canadell; Masayuki Kondo; Hui Yang; Marielle Saunois; Bo Zheng; Wouter Peters; Wouter Peters; Benjamin Poulter; Benjamin Poulter; Benjamin Poulter; Matthew W. Jones; Hanqin Tian; Xuhui Wang; Shilong Piao; Shilong Piao; Ronny Lauerwald; Ronny Lauerwald; Ingrid T. Luijkx; Anatoli Shvidenko; Anatoli Shvidenko; Gustaf Hugelius; Celso von Randow; Chunjing Qiu; Robert B. Jackson; Robert B. Jackson; Prabir K. Patra; Philippe Ciais; Ana Bastos;Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 63 citations 63 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint 2020 France, France, Netherlands, France, United Kingdom, Austria, BelgiumPublisher:Copernicus GmbH Funded by:EC | VERIFYEC| VERIFYFrédéric Chevallier; Pierre Regnier; Julia Pongratz; Atul K. Jain; Roxana Petrescu; Robert J. Scholes; Pep Canadell; Masayuki Kondo; Hui Yang; Marielle Saunois; Bo Zheng; Wouter Peters; Wouter Peters; Benjamin Poulter; Benjamin Poulter; Benjamin Poulter; Matthew W. Jones; Hanqin Tian; Xuhui Wang; Shilong Piao; Shilong Piao; Ronny Lauerwald; Ronny Lauerwald; Ingrid T. Luijkx; Anatoli Shvidenko; Anatoli Shvidenko; Gustaf Hugelius; Celso von Randow; Chunjing Qiu; Robert B. Jackson; Robert B. Jackson; Prabir K. Patra; Philippe Ciais; Ana Bastos;Abstract. Regional land carbon budgets provide insights on the spatial distribution of the land uptake of atmospheric carbon dioxide, and can be used to evaluate carbon cycle models and to define baselines for land-based additional mitigation efforts. The scientific community has been involved in providing observation-based estimates of regional carbon budgets either by downscaling atmospheric CO2 observations into surface fluxes with atmospheric inversions, by using inventories of carbon stock changes in terrestrial ecosystems, by upscaling local field observations such as flux towers with gridded climate and remote sensing fields or by integrating data-driven or process-oriented terrestrial carbon cycle models. The first coordinated attempt to collect regional carbon budgets for nine regions covering the entire globe in the RECCAP-1 project has delivered estimates for the decade 2000–2009, but these budgets were not comparable between regions, due to different definitions and component fluxes reported or omitted. The recent recognition of lateral fluxes of carbon by human activities and rivers, that connect CO2 uptake in one area with its release in another also requires better definition and protocols to reach harmonized regional budgets that can be summed up to the globe and compared with the atmospheric CO2 growth rate and inversion results. In this study, for the international initiative RECCAP-2 coordinated by the Global Carbon Project, which aims as an update of regional carbon budgets over the last two decades based on observations, for 10 regions covering the globe, with a better harmonization that the precursor project, we provide recommendations for using atmospheric inversions results to match bottom-up carbon accounting and models, and we define the different component fluxes of the net land atmosphere carbon exchange that should be reported by each research group in charge of each region. Special attention is given to lateral fluxes, inland water fluxes and land use fluxes.
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 63 citations 63 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!
more_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2022 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2022License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03604087Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/gmd-20...Article . 2020 . Peer-reviewedLicense: CC BYData sources: CrossrefGeoscientific Model DevelopmentArticle . 2022Geoscientific Model DevelopmentArticle . 2022License: CC BYData sources: University of Groningen Research PortalWageningen Staff PublicationsArticle . 2022License: CC BYData sources: Wageningen Staff PublicationsGeoscientific Model DevelopmentArticle . 2022 . Peer-reviewedData sources: European Union Open Data Portaladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/gmd-2020-259&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 France, Spain, United Kingdom, BelgiumPublisher:Copernicus GmbH A. Bastos; P. Ciais; F. Chevallier; C. Rödenbeck; A. P. Ballantyne; A. P. Ballantyne; F. Maignan; Y. Yin; M. Fernández-Martínez; P. Friedlingstein; J. Peñuelas; J. Peñuelas; S. L. Piao; S. Sitch; W. K. Smith; X. Wang; Z. Zhu; V. Haverd; E. Kato; A. K. Jain; S. Lienert; D. Lombardozzi; J. E. M. S. Nabel; P. Peylin; B. Poulter; D. Zhu;Abstract. Continuous atmospheric CO2 monitoring data indicate an increase in seasonal-cycle amplitude (SCA) of CO2 exchange in northern high latitudes. The major drivers of enhanced SCA remain unclear and intensely debated with land-use change, CO2 fertilization and warming identified as likely contributors. We integrated CO2-flux data from two atmospheric inversions (consistent with atmospheric records) and from and 11 state-of-the-art land-surface models (LSMs) to evaluate the relative importance of individual contributors to trends and drivers of the SCA of CO2-fluxes for 1980−2015. The LSMs generally reproduce the latitudinal increase in SCA trends within the inversions range. Inversions and LSMs attribute SCA increase to boreal Asia and Europe due to enhanced vegetation productivity (in LSMs) and point to contrasting effects of CO2 fertilisation (positive) and warming (negative) on SCA. Our results do not support land-use change as a key contributor to the increase in SCA. The sensitivity of simulated microbial respiration to temperature in LSMs explained biases in SCA trends, which suggests SCA could help to constrain model turnover times.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 France, Spain, United Kingdom, BelgiumPublisher:Copernicus GmbH A. Bastos; P. Ciais; F. Chevallier; C. Rödenbeck; A. P. Ballantyne; A. P. Ballantyne; F. Maignan; Y. Yin; M. Fernández-Martínez; P. Friedlingstein; J. Peñuelas; J. Peñuelas; S. L. Piao; S. Sitch; W. K. Smith; X. Wang; Z. Zhu; V. Haverd; E. Kato; A. K. Jain; S. Lienert; D. Lombardozzi; J. E. M. S. Nabel; P. Peylin; B. Poulter; D. Zhu;Abstract. Continuous atmospheric CO2 monitoring data indicate an increase in seasonal-cycle amplitude (SCA) of CO2 exchange in northern high latitudes. The major drivers of enhanced SCA remain unclear and intensely debated with land-use change, CO2 fertilization and warming identified as likely contributors. We integrated CO2-flux data from two atmospheric inversions (consistent with atmospheric records) and from and 11 state-of-the-art land-surface models (LSMs) to evaluate the relative importance of individual contributors to trends and drivers of the SCA of CO2-fluxes for 1980−2015. The LSMs generally reproduce the latitudinal increase in SCA trends within the inversions range. Inversions and LSMs attribute SCA increase to boreal Asia and Europe due to enhanced vegetation productivity (in LSMs) and point to contrasting effects of CO2 fertilisation (positive) and warming (negative) on SCA. Our results do not support land-use change as a key contributor to the increase in SCA. The sensitivity of simulated microbial respiration to temperature in LSMs explained biases in SCA trends, which suggests SCA could help to constrain model turnover times.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 37 citations 37 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39685Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02398289Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/acp-20...Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefAtmospheric Chemistry and Physics (ACP)Article . 2019 . Peer-reviewedLicense: CC BYData sources: CrossrefRecolector de Ciencia Abierta, RECOLECTAArticle . 2019Data sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2021License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTARecolector de Ciencia Abierta, RECOLECTAArticle . 2019License: CC BYData sources: Recolector de Ciencia Abierta, RECOLECTADiposit Digital de Documents de la UABArticle . 2019License: CC BYData sources: Diposit Digital de Documents de la UABInstitutional Repository Universiteit AntwerpenArticle . 2019Data sources: Institutional Repository Universiteit Antwerpenadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/acp-2019-252&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 Netherlands, Switzerland, United Kingdom, United Kingdom, Norway, Netherlands, France, Netherlands, United Kingdom, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:SNSF | Klima- und Umweltphysik, EC | GEOCARBON, EC | COMBINE +3 projectsSNSF| Klima- und Umweltphysik ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental Physics ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| CARBOCHANGEClare Enright; Chris Huntingford; Peter Levy; Atul K. Jain; Richard A. Houghton; Laurent Bopp; Samuel Levis; Anders Ahlström; Gregg Marland; Jörg Schwinger; Jörg Schwinger; C. Le Quéré; Ning Zeng; Joanna Isobel House; Thomas J. Conway; Robert J. Andres; Sönke Zaehle; Etsushi Kato; Philippe Ciais; G. R. van der Werf; Tom Boden; Michael R. Raupach; Benjamin D. Stocker; Kees Klein Goldewijk; Kees Klein Goldewijk; Benjamin Poulter; Stephen Sitch; Ralph F. Keeling; Pierre Friedlingstein; Scott C. Doney; Mark R. Lomas; Glen P. Peters; Josep G. Canadell; Robbie M. Andrew; Nicolas Viovy; C. Jourdain; C. Jourdain;Abstract. Accurate assessments of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 &pm; 0.4 PgC yr−1, ELUC 1.0 &pm; 0.5 PgC yr−1, GATM 4.3 &pm; 0.1 PgC yr−1, SOCEAN 2.5 &pm; 0.5 PgC yr−1, and SLAND 2.6 &pm; 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 &pm; 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 &pm; 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 &pm; 0.2 PgC yr−1, SOCEAN was 2.7 &pm; 0.5 PgC yr−1, and SLAND was 4.1 &pm; 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 &pm; 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as &pm;1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_V2013). Global carbon budget 2013
NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 654 citations 654 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2012 Netherlands, Switzerland, United Kingdom, United Kingdom, Norway, Netherlands, France, Netherlands, United Kingdom, United Kingdom, United KingdomPublisher:Copernicus GmbH Funded by:SNSF | Klima- und Umweltphysik, EC | GEOCARBON, EC | COMBINE +3 projectsSNSF| Klima- und Umweltphysik ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental Physics ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| CARBOCHANGEClare Enright; Chris Huntingford; Peter Levy; Atul K. Jain; Richard A. Houghton; Laurent Bopp; Samuel Levis; Anders Ahlström; Gregg Marland; Jörg Schwinger; Jörg Schwinger; C. Le Quéré; Ning Zeng; Joanna Isobel House; Thomas J. Conway; Robert J. Andres; Sönke Zaehle; Etsushi Kato; Philippe Ciais; G. R. van der Werf; Tom Boden; Michael R. Raupach; Benjamin D. Stocker; Kees Klein Goldewijk; Kees Klein Goldewijk; Benjamin Poulter; Stephen Sitch; Ralph F. Keeling; Pierre Friedlingstein; Scott C. Doney; Mark R. Lomas; Glen P. Peters; Josep G. Canadell; Robbie M. Andrew; Nicolas Viovy; C. Jourdain; C. Jourdain;Abstract. Accurate assessments of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere is important to better understand the global carbon cycle, support the climate policy process, and project future climate change. Present-day analysis requires the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. Here we describe datasets and a methodology developed by the global carbon cycle science community to quantify all major components of the global carbon budget, including their uncertainties. We discuss changes compared to previous estimates, consistency within and among components, and methodology and data limitations. CO2 emissions from fossil fuel combustion and cement production (EFF) are based on energy statistics, while emissions from Land-Use Change (ELUC), including deforestation, are based on combined evidence from land cover change data, fire activity in regions undergoing deforestation, and models. The global atmospheric CO2 concentration is measured directly and its rate of growth (GATM) is computed from the concentration. The mean ocean CO2 sink (SOCEAN) is based on observations from the 1990s, while the annual anomalies and trends are estimated with ocean models. Finally, the global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms. For the last decade available (2002–2011), EFF was 8.3 &pm; 0.4 PgC yr−1, ELUC 1.0 &pm; 0.5 PgC yr−1, GATM 4.3 &pm; 0.1 PgC yr−1, SOCEAN 2.5 &pm; 0.5 PgC yr−1, and SLAND 2.6 &pm; 0.8 PgC yr−1. For year 2011 alone, EFF was 9.5 &pm; 0.5 PgC yr−1, 3.0 percent above 2010, reflecting a continued trend in these emissions; ELUC was 0.9 &pm; 0.5 PgC yr−1, approximately constant throughout the decade; GATM was 3.6 &pm; 0.2 PgC yr−1, SOCEAN was 2.7 &pm; 0.5 PgC yr−1, and SLAND was 4.1 &pm; 0.9 PgC yr−1. GATM was low in 2011 compared to the 2002–2011 average because of a high uptake by the land probably in response to natural climate variability associated to La Niña conditions in the Pacific Ocean. The global atmospheric CO2 concentration reached 391.31 &pm; 0.13 ppm at the end of year 2011. We estimate that EFF will have increased by 2.6% (1.9–3.5%) in 2012 based on projections of gross world product and recent changes in the carbon intensity of the economy. All uncertainties are reported as &pm;1 sigma (68% confidence assuming Gaussian error distributions that the real value lies within the given interval), reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. This paper is intended to provide a baseline to keep track of annual carbon budgets in the future. All data presented here can be downloaded from the Carbon Dioxide Information Analysis Center (doi:10.3334/CDIAC/GCP_V2013). Global carbon budget 2013
NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 654 citations 654 popularity Top 0.1% influence Top 1% impulse Top 0.1% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down University of East Anglia digital repositoryArticle . 2013 . Peer-reviewedData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2012 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Bern Open Repository and Information System (BORIS)Article . 2013 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10871/20993Data sources: Bielefeld Academic Search Engine (BASE)Imperial College London: SpiralArticle . 2013License: CC BYFull-Text: http://hdl.handle.net/10044/1/41754Data sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2016License: CC BYFull-Text: https://hdl.handle.net/1956/12481Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 2013License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03208397Data sources: Bielefeld Academic Search Engine (BASE)Earth System Science Data (ESSD)Article . 2013 . Peer-reviewedLicense: CC BYData sources: Crossrefhttps://doi.org/10.5194/essdd-...Article . 2012 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2013Data sources: DANS (Data Archiving and Networked Services)Earth System Science Data (ESSD)Article . 2013Spiral - Imperial College Digital RepositoryArticle . 2013Data sources: Spiral - Imperial College Digital RepositoryBergen Open Research Archive - UiBArticle . 2013 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)http://dx.doi.org/10.5194/essd...Other literature typeData sources: European Union Open Data PortalUniversity of East Anglia: UEA Digital RepositoryArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/essd-5-165-2013&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Springer Science and Business Media LLC Yi Xi; Shushi Peng; Agnès Ducharne; Philippe Ciais; Thomas Gumbricht; Carlos Jiménez; Benjamin Poulter; Catherine Prigent; Chunjing Qiu; Marielle Saunois; Zhen Zhang;handle: 10568/120561
AbstractDynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced an ensemble of 28 gridded maps of monthly global/regional wetland extents (with more reliable estimates at mid-low latitudes) for 1980–2020 at 0.25° × 0.25° spatial resolution, calibrated with a combination of four observation-based wetland data and seven gridded soil moisture reanalysis datasets. The gridded dynamic maps of wetlands capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with independent satellite-based terrestrial water storage estimates over wetland areas. The long temporal coverage extending beyond the era of satellite datasets, the global coverage, and the opportunity to provide real-time updates from ongoing soil moisture data make these products helpful for various applications such as analyzing the wetland-related methane emission.
Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 FrancePublisher:Springer Science and Business Media LLC Yi Xi; Shushi Peng; Agnès Ducharne; Philippe Ciais; Thomas Gumbricht; Carlos Jiménez; Benjamin Poulter; Catherine Prigent; Chunjing Qiu; Marielle Saunois; Zhen Zhang;handle: 10568/120561
AbstractDynamics of global wetlands are closely linked to biodiversity conservation, hydrology, and greenhouse gas emissions. However, long-term time series of global wetland products are still lacking. Using a diagnostic model based on the TOPography-based hydrological MODEL (TOPMODEL), this study produced an ensemble of 28 gridded maps of monthly global/regional wetland extents (with more reliable estimates at mid-low latitudes) for 1980–2020 at 0.25° × 0.25° spatial resolution, calibrated with a combination of four observation-based wetland data and seven gridded soil moisture reanalysis datasets. The gridded dynamic maps of wetlands capture the spatial distributions, seasonal cycles, and interannual variabilities of observed wetland extent well, and also show a good agreement with independent satellite-based terrestrial water storage estimates over wetland areas. The long temporal coverage extending beyond the era of satellite datasets, the global coverage, and the opportunity to provide real-time updates from ongoing soil moisture data make these products helpful for various applications such as analyzing the wetland-related methane emission.
Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 12 citations 12 popularity Top 10% influence Average impulse Top 10% Powered by BIP!
more_vert Scientific Data arrow_drop_down CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2022License: CC BYFull-Text: https://hdl.handle.net/10568/120561Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2022Full-Text: https://hal.science/hal-03704780Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1038/s41597-022-01460-w&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Wiley Authors: Andrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; +8 AuthorsAndrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; Katherine M. Renwick; Bethany A. Bradley; Benjamin Poulter; Benjamin Poulter; Caroline A. Curtis; Daniel R. Schlaepfer; Daniel R. Schlaepfer; Daniel R. Schlaepfer;doi: 10.1111/gcb.13900
pmid: 28895271
AbstractA number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi‐model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity ofA. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi‐model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2017Publisher:Wiley Authors: Andrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; +8 AuthorsAndrew R. Kleinhesselink; Cameron L. Aldridge; Cameron L. Aldridge; Peter B. Adler; Katherine M. Renwick; Bethany A. Bradley; Benjamin Poulter; Benjamin Poulter; Caroline A. Curtis; Daniel R. Schlaepfer; Daniel R. Schlaepfer; Daniel R. Schlaepfer;doi: 10.1111/gcb.13900
pmid: 28895271
AbstractA number of modeling approaches have been developed to predict the impacts of climate change on species distributions, performance, and abundance. The stronger the agreement from models that represent different processes and are based on distinct and independent sources of information, the greater the confidence we can have in their predictions. Evaluating the level of confidence is particularly important when predictions are used to guide conservation or restoration decisions. We used a multi‐model approach to predict climate change impacts on big sagebrush (Artemisia tridentata), the dominant plant species on roughly 43 million hectares in the western United States and a key resource for many endemic wildlife species. To evaluate the climate sensitivity ofA. tridentata, we developed four predictive models, two based on empirically derived spatial and temporal relationships, and two that applied mechanistic approaches to simulate sagebrush recruitment and growth. This approach enabled us to produce an aggregate index of climate change vulnerability and uncertainty based on the level of agreement between models. Despite large differences in model structure, predictions of sagebrush response to climate change were largely consistent. Performance, as measured by change in cover, growth, or recruitment, was predicted to decrease at the warmest sites, but increase throughout the cooler portions of sagebrush's range. A sensitivity analysis indicated that sagebrush performance responds more strongly to changes in temperature than precipitation. Most of the uncertainty in model predictions reflected variation among the ecological models, raising questions about the reliability of forecasts based on a single modeling approach. Our results highlight the value of a multi‐model approach in forecasting climate change impacts and uncertainties and should help land managers to maximize the value of conservation investments.
Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Global Change Biolog... arrow_drop_down Global Change BiologyArticle . 2017 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 France, United States, United StatesPublisher:IOP Publishing Funded by:NSF | SI2-SSI: REAL-TIME LARGE-...NSF| SI2-SSI: REAL-TIME LARGE-SCALE PARALLEL INTELLIGENT CO2 DATA ASSIMILATION SYSTEMYuanyuan Fang; A. M. Michalak; Christopher R. Schwalm; D. N. Huntzinger; Joseph A. Berry; Philippe Ciais; Shilong Piao; Benjamin Poulter; Joshua B. Fisher; Robert B. Cook; D. J. Hayes; Maoyi Huang; Akihiko Ito; Atul K. Jain; Huimin Lei; Chaoqun Lü; Jiafu Mao; Nicholas C. Parazoo; Shushi Peng; Daniel M. Ricciuto; Xiaoying Shi; Bo Tao; Hanqin Tian; Weile Wang; Yaxing Wei; Jia Yang;handle: 20.500.12876/23242
La variabilidad climática asociada con El Niño-Oscilación del Sur (Enos) y sus consiguientes impactos en la variabilidad interanual del sumidero de carbono terrestre se ha utilizado como base para investigar las respuestas del ciclo del carbono a la variabilidad climática de manera más amplia y para informar la sensibilidad del presupuesto de carbono tropical al cambio climático. Estudios anteriores han presentado puntos de vista opuestos sobre si la temperatura o la precipitación es el factor principal que impulsa la respuesta del sumidero de carbono terrestre a Enos. Aquí, mostramos que el controlador dominante varía con la fase ENSO. Mientras que la temperatura tropical explica la dinámica del sumidero después de las condiciones de El Niño (rTG,P = 0,59, p < 0,01), el sumidero posterior a La Niña es impulsado en gran medida por la precipitación tropical (rPG,T =-0,46, p = 0,04). Este hallazgo apunta a una interacción dependiente de la fase ENSO entre la disponibilidad de agua y la temperatura en el control de la respuesta de absorción de carbono a las variaciones climáticas en los ecosistemas tropicales. Además, encontramos que ninguno de un conjunto de diez modelos de biosfera terrestre contemporáneos captura estas respuestas dependientes de la fase ENSO, lo que destaca una incertidumbre clave en el modelado de los impactos climáticos en el futuro del sumidero mundial de carbono terrestre. La variabilité climatique associée à l'oscillation australe El Niño (ENSO) et ses impacts sur la variabilité interannuelle des puits de carbone terrestres ont été utilisés comme base pour étudier les réponses du cycle du carbone à la variabilité climatique plus largement, et pour informer la sensibilité du budget carbone tropical au changement climatique. Des études antérieures ont présenté des points de vue opposés sur la question de savoir si la température ou les précipitations sont le principal facteur déterminant la réponse du puits de carbone terrestre à l'ENSO. Ici, nous montrons que le facteur dominant varie avec la phase ENSO. Alors que la température tropicale explique la dynamique du puits suite aux conditions El Niño (rTG,P = 0,59, p < 0,01), le puits post La Niña est largement entraîné par les précipitations tropicales (rPG,T = −0,46, p = 0,04). Cette constatation indique une interaction dépendante de la phase ENSO entre la disponibilité de l'eau et la température dans le contrôle de la réponse de l'absorption de carbone aux variations climatiques dans les écosystèmes tropicaux. Nous constatons en outre qu'aucun des dix modèles contemporains de la biosphère terrestre ne capture ces réponses dépendantes de la phase ENSO, mettant en évidence une incertitude clé dans la modélisation des impacts climatiques sur l'avenir du puits de carbone terrestre mondial. Climate variability associated with the El Niño-Southern Oscillation (ENSO) and its consequent impacts on land carbon sink interannual variability have been used as a basis for investigating carbon cycle responses to climate variability more broadly, and to inform the sensitivity of the tropical carbon budget to climate change. Past studies have presented opposing views about whether temperature or precipitation is the primary factor driving the response of the land carbon sink to ENSO. Here, we show that the dominant driver varies with ENSO phase. Whereas tropical temperature explains sink dynamics following El Niño conditions (rTG,P = 0.59, p < 0.01), the post La Niña sink is driven largely by tropical precipitation (rPG,T = −0.46, p = 0.04). This finding points to an ENSO-phase-dependent interplay between water availability and temperature in controlling the carbon uptake response to climate variations in tropical ecosystems. We further find that none of a suite of ten contemporary terrestrial biosphere models captures these ENSO-phase-dependent responses, highlighting a key uncertainty in modeling climate impacts on the future of the global land carbon sink. تم استخدام التقلبات المناخية المرتبطة بالتذبذب الجنوبي لظاهرة النينيو (ENSO) وما يترتب عليها من آثار على التقلبات السنوية لمصارف الكربون الأرضية كأساس للتحقيق في استجابات دورة الكربون لتقلبات المناخ على نطاق أوسع، ولإبلاغ حساسية ميزانية الكربون المدارية لتغير المناخ. قدمت الدراسات السابقة وجهات نظر متعارضة حول ما إذا كانت درجة الحرارة أو هطول الأمطار هي العامل الرئيسي الذي يدفع استجابة بالوعة الكربون الأرضية إلى ENSO. هنا، نظهر أن المحرك المهيمن يختلف باختلاف مرحلة ENSO. في حين أن درجة الحرارة المدارية تفسر ديناميكيات الحوض بعد ظروف النينيو (rTG،P = 0.59، P < 0.01)، فإن حوض ما بعد النينيا مدفوع إلى حد كبير بهطول الأمطار المدارية (rPG،T = -0.46، P = 0.04). تشير هذه النتيجة إلى تفاعل يعتمد على مرحلة ENSO بين توافر المياه ودرجة الحرارة في التحكم في استجابة امتصاص الكربون للتغيرات المناخية في النظم الإيكولوجية المدارية. كما نجد أن أياً من مجموعة من عشرة نماذج معاصرة للمحيط الحيوي الأرضي لا يلتقط هذه الاستجابات التي تعتمد على مرحلة ENSO، مما يسلط الضوء على عدم اليقين الرئيسي في نمذجة التأثيرات المناخية على مستقبل بالوعة الكربون الأرضية العالمية.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/aa6e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2017 France, United States, United StatesPublisher:IOP Publishing Funded by:NSF | SI2-SSI: REAL-TIME LARGE-...NSF| SI2-SSI: REAL-TIME LARGE-SCALE PARALLEL INTELLIGENT CO2 DATA ASSIMILATION SYSTEMYuanyuan Fang; A. M. Michalak; Christopher R. Schwalm; D. N. Huntzinger; Joseph A. Berry; Philippe Ciais; Shilong Piao; Benjamin Poulter; Joshua B. Fisher; Robert B. Cook; D. J. Hayes; Maoyi Huang; Akihiko Ito; Atul K. Jain; Huimin Lei; Chaoqun Lü; Jiafu Mao; Nicholas C. Parazoo; Shushi Peng; Daniel M. Ricciuto; Xiaoying Shi; Bo Tao; Hanqin Tian; Weile Wang; Yaxing Wei; Jia Yang;handle: 20.500.12876/23242
La variabilidad climática asociada con El Niño-Oscilación del Sur (Enos) y sus consiguientes impactos en la variabilidad interanual del sumidero de carbono terrestre se ha utilizado como base para investigar las respuestas del ciclo del carbono a la variabilidad climática de manera más amplia y para informar la sensibilidad del presupuesto de carbono tropical al cambio climático. Estudios anteriores han presentado puntos de vista opuestos sobre si la temperatura o la precipitación es el factor principal que impulsa la respuesta del sumidero de carbono terrestre a Enos. Aquí, mostramos que el controlador dominante varía con la fase ENSO. Mientras que la temperatura tropical explica la dinámica del sumidero después de las condiciones de El Niño (rTG,P = 0,59, p < 0,01), el sumidero posterior a La Niña es impulsado en gran medida por la precipitación tropical (rPG,T =-0,46, p = 0,04). Este hallazgo apunta a una interacción dependiente de la fase ENSO entre la disponibilidad de agua y la temperatura en el control de la respuesta de absorción de carbono a las variaciones climáticas en los ecosistemas tropicales. Además, encontramos que ninguno de un conjunto de diez modelos de biosfera terrestre contemporáneos captura estas respuestas dependientes de la fase ENSO, lo que destaca una incertidumbre clave en el modelado de los impactos climáticos en el futuro del sumidero mundial de carbono terrestre. La variabilité climatique associée à l'oscillation australe El Niño (ENSO) et ses impacts sur la variabilité interannuelle des puits de carbone terrestres ont été utilisés comme base pour étudier les réponses du cycle du carbone à la variabilité climatique plus largement, et pour informer la sensibilité du budget carbone tropical au changement climatique. Des études antérieures ont présenté des points de vue opposés sur la question de savoir si la température ou les précipitations sont le principal facteur déterminant la réponse du puits de carbone terrestre à l'ENSO. Ici, nous montrons que le facteur dominant varie avec la phase ENSO. Alors que la température tropicale explique la dynamique du puits suite aux conditions El Niño (rTG,P = 0,59, p < 0,01), le puits post La Niña est largement entraîné par les précipitations tropicales (rPG,T = −0,46, p = 0,04). Cette constatation indique une interaction dépendante de la phase ENSO entre la disponibilité de l'eau et la température dans le contrôle de la réponse de l'absorption de carbone aux variations climatiques dans les écosystèmes tropicaux. Nous constatons en outre qu'aucun des dix modèles contemporains de la biosphère terrestre ne capture ces réponses dépendantes de la phase ENSO, mettant en évidence une incertitude clé dans la modélisation des impacts climatiques sur l'avenir du puits de carbone terrestre mondial. Climate variability associated with the El Niño-Southern Oscillation (ENSO) and its consequent impacts on land carbon sink interannual variability have been used as a basis for investigating carbon cycle responses to climate variability more broadly, and to inform the sensitivity of the tropical carbon budget to climate change. Past studies have presented opposing views about whether temperature or precipitation is the primary factor driving the response of the land carbon sink to ENSO. Here, we show that the dominant driver varies with ENSO phase. Whereas tropical temperature explains sink dynamics following El Niño conditions (rTG,P = 0.59, p < 0.01), the post La Niña sink is driven largely by tropical precipitation (rPG,T = −0.46, p = 0.04). This finding points to an ENSO-phase-dependent interplay between water availability and temperature in controlling the carbon uptake response to climate variations in tropical ecosystems. We further find that none of a suite of ten contemporary terrestrial biosphere models captures these ENSO-phase-dependent responses, highlighting a key uncertainty in modeling climate impacts on the future of the global land carbon sink. تم استخدام التقلبات المناخية المرتبطة بالتذبذب الجنوبي لظاهرة النينيو (ENSO) وما يترتب عليها من آثار على التقلبات السنوية لمصارف الكربون الأرضية كأساس للتحقيق في استجابات دورة الكربون لتقلبات المناخ على نطاق أوسع، ولإبلاغ حساسية ميزانية الكربون المدارية لتغير المناخ. قدمت الدراسات السابقة وجهات نظر متعارضة حول ما إذا كانت درجة الحرارة أو هطول الأمطار هي العامل الرئيسي الذي يدفع استجابة بالوعة الكربون الأرضية إلى ENSO. هنا، نظهر أن المحرك المهيمن يختلف باختلاف مرحلة ENSO. في حين أن درجة الحرارة المدارية تفسر ديناميكيات الحوض بعد ظروف النينيو (rTG،P = 0.59، P < 0.01)، فإن حوض ما بعد النينيا مدفوع إلى حد كبير بهطول الأمطار المدارية (rPG،T = -0.46، P = 0.04). تشير هذه النتيجة إلى تفاعل يعتمد على مرحلة ENSO بين توافر المياه ودرجة الحرارة في التحكم في استجابة امتصاص الكربون للتغيرات المناخية في النظم الإيكولوجية المدارية. كما نجد أن أياً من مجموعة من عشرة نماذج معاصرة للمحيط الحيوي الأرضي لا يلتقط هذه الاستجابات التي تعتمد على مرحلة ENSO، مما يسلط الضوء على عدم اليقين الرئيسي في نمذجة التأثيرات المناخية على مستقبل بالوعة الكربون الأرضية العالمية.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/aa6e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 42 citations 42 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-02922302Data sources: Bielefeld Academic Search Engine (BASE)Digital Repository @ Iowa State UniversityArticle . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1088/1748-9326/aa6e8e&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2013 France, United KingdomPublisher:The Royal Society Fisher, Joshua; Sikka, Munish; Sitch, Stephen; Ciais, Philippe; Poulter, Benjamin; Galbraith, David; Lee, Jung-Eun; Huntingford, Chris; Viovy, Nicolas; Zeng, Ning; Ahlström, Anders; Lomas, Mark; Levy, Peter; Frankenberg, Christian; Saatchi, Sassan; Malhi, Yadvinder;The African humid tropical biome constitutes the second largest rainforest region, significantly impacts global carbon cycling and climate, and has undergone major changes in functioning owing to climate and land-use change over the past century. We assess changes and trends in CO 2 fluxes from 1901 to 2010 using nine land surface models forced with common driving data, and depict the inter-model variability as the uncertainty in fluxes. The biome is estimated to be a natural (no disturbance) net carbon sink (−0.02 kg C m −2 yr −1 or −0.04 Pg C yr −1 , p < 0.05) with increasing strength fourfold in the second half of the century. The models were in close agreement on net CO 2 flux at the beginning of the century ( σ 1901 = 0.02 kg C m −2 yr −1 ), but diverged exponentially throughout the century ( σ 2010 = 0.03 kg C m −2 yr −1 ). The increasing uncertainty is due to differences in sensitivity to increasing atmospheric CO 2 , but not increasing water stress, despite a decrease in precipitation and increase in air temperature. However, the largest uncertainties were associated with the most extreme drought events of the century. These results highlight the need to constrain modelled CO 2 fluxes with increasing atmospheric CO 2 concentrations and extreme climatic events, as the uncertainties will only amplify in the next century.
NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2013 France, United KingdomPublisher:The Royal Society Fisher, Joshua; Sikka, Munish; Sitch, Stephen; Ciais, Philippe; Poulter, Benjamin; Galbraith, David; Lee, Jung-Eun; Huntingford, Chris; Viovy, Nicolas; Zeng, Ning; Ahlström, Anders; Lomas, Mark; Levy, Peter; Frankenberg, Christian; Saatchi, Sassan; Malhi, Yadvinder;The African humid tropical biome constitutes the second largest rainforest region, significantly impacts global carbon cycling and climate, and has undergone major changes in functioning owing to climate and land-use change over the past century. We assess changes and trends in CO 2 fluxes from 1901 to 2010 using nine land surface models forced with common driving data, and depict the inter-model variability as the uncertainty in fluxes. The biome is estimated to be a natural (no disturbance) net carbon sink (−0.02 kg C m −2 yr −1 or −0.04 Pg C yr −1 , p < 0.05) with increasing strength fourfold in the second half of the century. The models were in close agreement on net CO 2 flux at the beginning of the century ( σ 1901 = 0.02 kg C m −2 yr −1 ), but diverged exponentially throughout the century ( σ 2010 = 0.03 kg C m −2 yr −1 ). The increasing uncertainty is due to differences in sensitivity to increasing atmospheric CO 2 , but not increasing water stress, despite a decrease in precipitation and increase in air temperature. However, the largest uncertainties were associated with the most extreme drought events of the century. These results highlight the need to constrain modelled CO 2 fluxes with increasing atmospheric CO 2 concentrations and extreme climatic events, as the uncertainties will only amplify in the next century.
NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!
more_vert NERC Open Research A... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2013Full-Text: https://hal.science/hal-03207728Data sources: Bielefeld Academic Search Engine (BASE)Philosophical Transactions of the Royal Society B Biological SciencesArticleLicense: CC BYData sources: UnpayWallPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2013 . Peer-reviewedLicense: Royal Society Data Sharing and AccessibilityData sources: CrossrefPhilosophical Transactions of the Royal Society B Biological SciencesArticle . 2014Data sources: Europe PubMed CentralNatural Environment Research Council: NERC Open Research ArchiveArticle . 2013Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1098/rstb.2012.0376&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Review , Journal 2017Embargo end date: 09 Aug 2017 Netherlands, Switzerland, Netherlands, France, Belgium, Netherlands, Netherlands, GermanyPublisher:Copernicus GmbH Funded by:ANR | L-IPSL, EC | GEOCARBON, FCT | Center for Environmental ... +1 projectsANR| L-IPSL ,EC| GEOCARBON ,FCT| Center for Environmental and Sustainability Research ,EC| BACIJ. Zscheischler; J. Zscheischler; M. D. Mahecha; M. D. Mahecha; M. D. Mahecha; V. Avitabile; L. Calle; N. Carvalhais; N. Carvalhais; P. Ciais; F. Gans; N. Gruber; J. Hartmann; M. Herold; K. Ichii; K. Ichii; M. Jung; P. Landschützer; P. Landschützer; G. G. Laruelle; R. Lauerwald; R. Lauerwald; D. Papale; P. Peylin; B. Poulter; B. Poulter; D. Ray; P. Regnier; C. Rödenbeck; R. M. Roman-Cuesta; C. Schwalm; G. Tramontana; A. Tyukavina; R. Valentini; G. van der Werf; T. O. West; J. E. Wolf; M. Reichstein; M. Reichstein; M. Reichstein;Abstract. Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface–atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of the carbon dioxide (CO2) exchange of the ocean, inland freshwaters and the land surface with the atmosphere. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface–atmosphere CO2 fluxes from 2001 to 2010, to identify the state of today's observational opportunities and data limitations. The considered fluxes include net exchange of open oceans, continental shelves, estuaries, rivers, and lakes, as well as CO2 fluxes related to net ecosystem productivity, fire emissions, loss of tropical aboveground C, harvested wood and crops, as well as fossil fuel and cement emissions. Spatially explicit CO2 fluxes are obtained through geostatistical and/or remote-sensing-based upscaling, thereby minimizing biophysical or biogeochemical assumptions encoded in process-based models. We estimate a bottom-up net C exchange (NCE) between the surface (land, ocean, and coastal areas) and the atmosphere. Though we provide also global estimates, the primary goal of this study is to identify key uncertainties and observational shortcomings that need to be prioritized in the expansion of in situ observatories. Uncertainties for NCE and its components are derived using resampling. In many regions, our NCE estimates agree well with independent estimates from other sources such as process-based models and atmospheric inversions. This holds for Europe (mean ± 1 SD: 0.8 ± 0.1 PgC yr−1, positive numbers are sources to the atmosphere), Russia (0.1 ± 0.4 PgC yr−1), East Asia (1.6 ± 0.3 PgC yr−1), South Asia (0.3 ± 0.1 PgC yr−1), Australia (0.2 ± 0.3 PgC yr−1), and most of the Ocean regions. Our NCE estimates give a likely too large CO2 sink in tropical areas such as the Amazon, Congo, and Indonesia. Overall, and because of the overestimated CO2 uptake in tropical lands, our global bottom-up NCE amounts to a net sink of −5.4 ± 2.0 PgC yr−1. By contrast, the accurately measured mean atmospheric growth rate of CO2 over 2001–2010 indicates that the true value of NCE is a net CO2 source of 4.3 ± 0.1 PgC yr−1. This mismatch of nearly 10 PgC yr−1 highlights observational gaps and limitations of data-driven models in tropical lands, but also in North America. Our uncertainty assessment provides the basis for setting priority regions where to increase carbon observations in the future. High on the priority list are tropical land regions, which suffer from a lack of in situ observations. Second, extensive pCO2 data are missing in the Southern Ocean. Third, we lack observations that could enable seasonal estimates of shelf, estuary, and inland water–atmosphere C exchange. Our consistent derivation of data uncertainties could serve as prior knowledge in multicriteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) and atmospheric inversions, without over- or under-stating bottom-up data credibility. In the future, NCE estimates of carbon sinks could be aggregated at national scale to compare with the official national inventories of CO2 fluxes in the land use, land use change, and forestry sector, upon which future emission reductions are proposed.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 62 citations 62 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Review , Journal 2017Embargo end date: 09 Aug 2017 Netherlands, Switzerland, Netherlands, France, Belgium, Netherlands, Netherlands, GermanyPublisher:Copernicus GmbH Funded by:ANR | L-IPSL, EC | GEOCARBON, FCT | Center for Environmental ... +1 projectsANR| L-IPSL ,EC| GEOCARBON ,FCT| Center for Environmental and Sustainability Research ,EC| BACIJ. Zscheischler; J. Zscheischler; M. D. Mahecha; M. D. Mahecha; M. D. Mahecha; V. Avitabile; L. Calle; N. Carvalhais; N. Carvalhais; P. Ciais; F. Gans; N. Gruber; J. Hartmann; M. Herold; K. Ichii; K. Ichii; M. Jung; P. Landschützer; P. Landschützer; G. G. Laruelle; R. Lauerwald; R. Lauerwald; D. Papale; P. Peylin; B. Poulter; B. Poulter; D. Ray; P. Regnier; C. Rödenbeck; R. M. Roman-Cuesta; C. Schwalm; G. Tramontana; A. Tyukavina; R. Valentini; G. van der Werf; T. O. West; J. E. Wolf; M. Reichstein; M. Reichstein; M. Reichstein;Abstract. Understanding the global carbon (C) cycle is of crucial importance to map current and future climate dynamics relative to global environmental change. A full characterization of C cycling requires detailed information on spatiotemporal patterns of surface–atmosphere fluxes. However, relevant C cycle observations are highly variable in their coverage and reporting standards. Especially problematic is the lack of integration of the carbon dioxide (CO2) exchange of the ocean, inland freshwaters and the land surface with the atmosphere. Here we adopt a data-driven approach to synthesize a wide range of observation-based spatially explicit surface–atmosphere CO2 fluxes from 2001 to 2010, to identify the state of today's observational opportunities and data limitations. The considered fluxes include net exchange of open oceans, continental shelves, estuaries, rivers, and lakes, as well as CO2 fluxes related to net ecosystem productivity, fire emissions, loss of tropical aboveground C, harvested wood and crops, as well as fossil fuel and cement emissions. Spatially explicit CO2 fluxes are obtained through geostatistical and/or remote-sensing-based upscaling, thereby minimizing biophysical or biogeochemical assumptions encoded in process-based models. We estimate a bottom-up net C exchange (NCE) between the surface (land, ocean, and coastal areas) and the atmosphere. Though we provide also global estimates, the primary goal of this study is to identify key uncertainties and observational shortcomings that need to be prioritized in the expansion of in situ observatories. Uncertainties for NCE and its components are derived using resampling. In many regions, our NCE estimates agree well with independent estimates from other sources such as process-based models and atmospheric inversions. This holds for Europe (mean ± 1 SD: 0.8 ± 0.1 PgC yr−1, positive numbers are sources to the atmosphere), Russia (0.1 ± 0.4 PgC yr−1), East Asia (1.6 ± 0.3 PgC yr−1), South Asia (0.3 ± 0.1 PgC yr−1), Australia (0.2 ± 0.3 PgC yr−1), and most of the Ocean regions. Our NCE estimates give a likely too large CO2 sink in tropical areas such as the Amazon, Congo, and Indonesia. Overall, and because of the overestimated CO2 uptake in tropical lands, our global bottom-up NCE amounts to a net sink of −5.4 ± 2.0 PgC yr−1. By contrast, the accurately measured mean atmospheric growth rate of CO2 over 2001–2010 indicates that the true value of NCE is a net CO2 source of 4.3 ± 0.1 PgC yr−1. This mismatch of nearly 10 PgC yr−1 highlights observational gaps and limitations of data-driven models in tropical lands, but also in North America. Our uncertainty assessment provides the basis for setting priority regions where to increase carbon observations in the future. High on the priority list are tropical land regions, which suffer from a lack of in situ observations. Second, extensive pCO2 data are missing in the Southern Ocean. Third, we lack observations that could enable seasonal estimates of shelf, estuary, and inland water–atmosphere C exchange. Our consistent derivation of data uncertainties could serve as prior knowledge in multicriteria optimization such as the Carbon Cycle Data Assimilation System (CCDAS) and atmospheric inversions, without over- or under-stating bottom-up data credibility. In the future, NCE estimates of carbon sinks could be aggregated at national scale to compare with the official national inventories of CO2 fluxes in the land use, land use change, and forestry sector, upon which future emission reductions are proposed.
Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen 62 citations 62 popularity Top 1% influence Top 10% impulse Top 10% Powered by BIP!
more_vert Hyper Article en Lig... arrow_drop_down Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)CGIAR CGSpace (Consultative Group on International Agricultural Research)Article . 2021License: CC BYFull-Text: https://hdl.handle.net/10568/111821Data sources: Bielefeld Academic Search Engine (BASE)Université Jean Monnet – Saint-Etienne: HALArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2017Full-Text: https://hal.science/hal-01584280Data sources: Bielefeld Academic Search Engine (BASE)Biogeosciences (BG)Other literature type . 2017Data sources: DANS (Data Archiving and Networked Services)Biogeosciences (BG)Review . 2017GFZ German Research Centre for GeosciencesArticle . 2017Data sources: GFZ German Research Centre for GeosciencesINRIA a CCSD electronic archive serverArticle . 2017Data sources: INRIA a CCSD electronic archive serverWageningen Staff PublicationsArticle . 2017License: CC BYData sources: Wageningen Staff PublicationsArchiMer - Institutional Archive of IfremerOther literature type . 2017Data sources: ArchiMer - Institutional Archive of IfremerGFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/bg-14-3685-2017&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:American Geophysical Union (AGU) Authors: Guillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; +10 AuthorsGuillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; Fabiola Murguía‐Flores; Víctor J. Jaramillo; Montserrat Serrano‐Medrano; Miguel García‐García; Rodrigo Vargas; Abhishek Chatterjee; Anna Michalak; Zhen Zhang; Jonathan A. Wang; Benjamin Poulter;doi: 10.1029/2023jg007667
AbstractApplication of the best available science to improve quantification of greenhouse gas (GHG) emissions at regional and national scales is key to climate action. Here, we present a two‐decade (2000–2019) GHG (CO2, CH4, and N2O) budget for Mexico derived from multiple products. Data from the National GHG Inventory, global observations, and the scientific literature were compared to identify knowledge gaps on GHG flux dynamics and discrepancies among estimates. Total mean annual GHG emissions were estimated at 695–910 TgCO2‐eq year−1 over these two decades, with 70% of the emissions attributable to CO2, 23% to CH4, and 5% to N2O (2% to other gases). When divided by sectors, we found agreement across emission estimates from various sources for fossil fuels, cattle, agriculture, and waste for all GHGs. However, considerable discrepancies were identified in the fluxes from terrestrial ecosystems. The disagreement was particularly large for the land CO2 sink, where net biome production estimations from the national inventory were double those from any other observational product. Extensive knowledge gaps exist, mainly related to aquatic systems (e.g., outgassing in rivers) and the lateral fluxes (e.g., wood trade). In addition, limited information is available on CH4 emissions from wetlands and soil CH4 consumption. We expect these results to guide future research to reduce estimation uncertainties and fill the information gaps across Mexico.
Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007667&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!
more_vert Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1029/2023jg007667&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2024Publisher:American Geophysical Union (AGU) Authors: Guillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; +10 AuthorsGuillermo Murray‐Tortarolo; Kevin Perea; Alma Mendoza‐Ponce; Amparo Martínez‐Arroyo; Fabiola Murguía‐Flores; Víctor J. Jaramillo; Montserrat Serrano‐Medrano; Miguel García‐García; Rodrigo Vargas; Abhishek Chatterjee; Anna Michalak; Zhen Zhang; Jonathan A. Wang; Benjamin Poulter;doi: 10.1029/2023jg007667
AbstractApplication of the best available science to improve quantification of greenhouse gas (GHG) emissions at regional and national scales is key to climate action. Here, we present a two‐decade (2000–2019) GHG (CO2, CH4, and N2O) budget for Mexico derived from multiple products. Data from the National GHG Inventory, global observations, and the scientific literature were compared to identify knowledge gaps on GHG flux dynamics and discrepancies among estimates. Total mean annual GHG emissions were estimated at 695–910 TgCO2‐eq year−1 over these two decades, with 70% of the emissions attributable to CO2, 23% to CH4, and 5% to N2O (2% to other gases). When divided by sectors, we found agreement across emission estimates from various sources for fossil fuels, cattle, agriculture, and waste for all GHGs. However, considerable discrepancies were identified in the fluxes from terrestrial ecosystems. The disagreement was particularly large for the land CO2 sink, where net biome production estimations from the national inventory were double those from any other observational product. Extensive knowledge gaps exist, mainly related to aquatic systems (e.g., outgassing in rivers) and the lateral fluxes (e.g., wood trade). In addition, limited information is available on CH4 emissions from wetlands and soil CH4 consumption. We expect these results to guide future research to reduce estimation uncertainties and fill the information gaps across Mexico.
Journal of Geophysic... arrow_drop_down Journal of Geophysical Research BiogeosciencesArticle . 2024 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016 FrancePublisher:Stockholm University Press Funded by:NSF | CNH: Pluvials, Droughts, ..., NSF | Collaborative Research: E..., NSF | Collaborative Research: E... +1 projectsNSF| CNH: Pluvials, Droughts, Energetics, and the Mongol Empire ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSERCAkihiko Ito; Motoko Inatomi; D. N. Huntzinger; Christopher R. Schwalm; A. M. Michalak; Robert B. Cook; A. W. King; Jiafu Mao; Yaxing Wei; W. M. Post; Weile Wang; M. Altaf Arain; Shengfu Huang; D. J. Hayes; Daniel M. Ricciuto; Xiaoying Shi; Maoyi Huang; Huimin Lei; Hanqin Tian; Chaoqun Lü; Jia Yang; Bo Tao; Atul K. Jain; Benjamin Poulter; Shushi Peng; Philippe Ciais; Joshua B. Fisher; Nicholas C. Parazoo; Kevin Schaefer; Changhui Peng; Ning Zeng; Fang Zhao;L'amplitude du cycle saisonnier (ACS) du taux d'échange dioxyde de carbone (CO2) atmosphère-écosystème est une mesure utile de la réactivité de la biosphère terrestre aux variations environnementales. Il n'est cependant pas clair quels mécanismes sous-jacents sont responsables de la tendance à la hausse observée du SCA dans la concentration atmosphérique de CO2. À l'aide des données de sortie du Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), nous avons étudié dans quelle mesure le SCA de l'échange de CO2 atmosphère-écosystème a été simulé avec 15 modèles d'écosystèmes terrestres contemporains au cours de la période 1901–2010. En outre, nous avons tenté d'évaluer les contributions de mécanismes potentiels tels que le CO2 atmosphérique, le climat, l'utilisation des terres et les dépôts d'azote, à l'aide d'expériences factorielles utilisant différentes combinaisons de données de forçage. Dans des conditions contemporaines, le SCA simulé à l'échelle mondiale du flux net cumulé de carbone de l'écosystème de la plupart des modèles était comparable en ampleur au SCA des concentrations atmosphériques de CO2. Les résultats des expériences de simulation factorielle ont montré que le CO2 atmosphérique élevé exerçait une forte influence sur l'amplification de la saisonnalité. Lorsque le modèle a pris en compte non seulement le changement climatique, mais également les changements dans l'utilisation des terres et le CO2 atmosphérique, la majorité des modèles ont montré des tendances d'amplification des SCA de la photosynthèse, de la respiration et de la production nette de l'écosystème (+0,19 % à +0,50 % an−1). Dans le cas du changement d'affectation des terres, il était difficile de séparer la contribution de la gestion agricole au SCA en raison des insuffisances des données et des modèles. L'amplification simulée de l'ACS était approximativement compatible avec les preuves observationnelles de l'ACS dans les concentrations atmosphériques de CO2. De grandes différences entre les modèles sont toutefois restées dans les tendances mondiales simulées et les schémas spatiaux des échanges de CO2. D'autres études sont nécessaires pour identifier une explication cohérente des tendances d'amplification simulées et observées, y compris leurs mécanismes sous-jacents. Néanmoins, cette étude impliquait que la surveillance de la saisonnalité des écosystèmes fournirait des informations utiles sur la dynamique des écosystèmes. La amplitud del ciclo estacional (ACE) del tipo de cambio atmósfera-dióxido de carbono (CO2) del ecosistema es una métrica útil de la capacidad de respuesta de la biosfera terrestre a las variaciones ambientales. Sin embargo, no está claro qué mecanismos subyacentes son responsables de la tendencia creciente observada de SCA en la concentración atmosférica de CO2. Utilizando los datos de salida del Proyecto de Intercomparación de Modelos Terrestres Multiescala (MsTMIP), investigamos qué tan bien se simuló el SCA del intercambio de CO2 entre la atmósfera y el ecosistema con 15 modelos de ecosistemas terrestres contemporáneos durante el período 1901–2010. Además, intentamos evaluar las contribuciones de posibles mecanismos como el CO2 atmosférico, el clima, el uso de la tierra y la deposición de nitrógeno, a través de experimentos factoriales utilizando diferentes combinaciones de datos de forzamiento. En condiciones contemporáneas, el SCA simulado a escala global del flujo neto acumulado de carbono del ecosistema de la mayoría de los modelos fue comparable en magnitud con el SCA de las concentraciones atmosféricas de CO2. Los resultados de los experimentos de simulación factorial mostraron que el CO2 atmosférico elevado ejercía una fuerte influencia en la amplificación de la estacionalidad. Cuando el modelo consideró no solo el cambio climático, sino también el uso de la tierra y los cambios de CO2 atmosférico, la mayoría de los modelos mostraron tendencias de amplificación de los SCA de fotosíntesis, respiración y producción neta del ecosistema (+0,19 % a +0,50 % año−1). En el caso del cambio de uso de la tierra, fue difícil separar la contribución de la gestión agrícola a la ACS debido a las deficiencias tanto en los datos como en los modelos. La amplificación simulada de SCA fue aproximadamente consistente con la evidencia observada de SCA en concentraciones atmosféricas de CO2. Sin embargo, se mantuvieron grandes diferencias intermodales en las tendencias globales simuladas y los patrones espaciales de los intercambios de CO2. Se requieren más estudios para identificar una explicación coherente de las tendencias de amplificación simuladas y observadas, incluidos sus mecanismos subyacentes. Sin embargo, este estudio implicó que el monitoreo de la estacionalidad de los ecosistemas proporcionaría información útil sobre la dinámica de los ecosistemas. The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of SCA in atmospheric CO2 concentration. Using output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), we investigated how well the SCA of atmosphere–ecosystem CO2 exchange was simulated with 15 contemporary terrestrial ecosystem models during the period 1901–2010. Also, we made attempt to evaluate the contributions of potential mechanisms such as atmospheric CO2, climate, land-use, and nitrogen deposition, through factorial experiments using different combinations of forcing data. Under contemporary conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of atmospheric CO2 concentrations. Results from factorial simulation experiments showed that elevated atmospheric CO2 exerted a strong influence on the seasonality amplification. When the model considered not only climate change but also land-use and atmospheric CO2 changes, the majority of the models showed amplification trends of the SCAs of photosynthesis, respiration, and net ecosystem production (+0.19 % to +0.50 % yr−1). In the case of land-use change, it was difficult to separate the contribution of agricultural management to SCA because of inadequacies in both the data and models. The simulated amplification of SCA was approximately consistent with the observational evidence of the SCA in atmospheric CO2 concentrations. Large inter-model differences remained, however, in the simulated global tendencies and spatial patterns of CO2 exchanges. Further studies are required to identify a consistent explanation for the simulated and observed amplification trends, including their underlying mechanisms. Nevertheless, this study implied that monitoring of ecosystem seasonality would provide useful insights concerning ecosystem dynamics. تعد سعة الدورة الموسمية (SCA) لسعر صرف ثاني أكسيد الكربون في النظام البيئي للغلاف الجوي (CO2) مقياسًا مفيدًا لاستجابة المحيط الحيوي الأرضي للتغيرات البيئية. ومع ذلك، ليس من الواضح ما هي الآليات الأساسية المسؤولة عن الاتجاه المتزايد الملحوظ في تركيز ثاني أكسيد الكربون في الغلاف الجوي. باستخدام بيانات المخرجات من مشروع المقارنة البينية للنموذج الأرضي متعدد المقاييس (MsTMIP)، قمنا بالتحقيق في مدى محاكاة تبادل ثاني أكسيد الكربون في الغلاف الجوي مع 15 نموذجًا معاصرًا للنظام الإيكولوجي الأرضي خلال الفترة 1901–2010. كما حاولنا تقييم مساهمات الآليات المحتملة مثل ثاني أكسيد الكربون في الغلاف الجوي والمناخ واستخدام الأراضي وترسب النيتروجين، من خلال تجارب العوامل باستخدام مجموعات مختلفة من فرض البيانات. في ظل الظروف المعاصرة، كانت محاكاة تركيز ثاني أكسيد الكربون على المستوى العالمي لتدفق الكربون الصافي التراكمي للنظام الإيكولوجي لمعظم النماذج قابلة للمقارنة من حيث الحجم مع تركيزات ثاني أكسيد الكربون في الغلاف الجوي. أظهرت نتائج تجارب محاكاة العوامل أن ارتفاع ثاني أكسيد الكربون في الغلاف الجوي كان له تأثير قوي على التضخيم الموسمي. عندما نظر النموذج ليس فقط في تغير المناخ ولكن أيضًا في استخدام الأراضي وتغيرات ثاني أكسيد الكربون في الغلاف الجوي، أظهرت غالبية النماذج اتجاهات تضخيم SCAs للتمثيل الضوئي والتنفس وصافي إنتاج النظام البيئي (+0.19 ٪ إلى +0.50 ٪ سنة-1). في حالة تغيير استخدام الأراضي، كان من الصعب فصل مساهمة الإدارة الزراعية في هيئة الأوراق المالية والسلع بسبب أوجه القصور في كل من البيانات والنماذج. كان التضخيم المحاكى لـ SCA متسقًا تقريبًا مع الأدلة الرصدية لـ SCA في تركيزات ثاني أكسيد الكربون في الغلاف الجوي. ومع ذلك، لا تزال هناك اختلافات كبيرة بين النماذج في الاتجاهات العالمية المحاكاة والأنماط المكانية لتبادل ثاني أكسيد الكربون. هناك حاجة إلى مزيد من الدراسات لتحديد تفسير متسق لاتجاهات التضخيم المحاكاة والملاحظة، بما في ذلك آلياتها الأساسية. ومع ذلك، أشارت هذه الدراسة إلى أن رصد موسمية النظام الإيكولوجي من شأنه أن يوفر رؤى مفيدة بشأن ديناميات النظام الإيكولوجي.
Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3402/tellusb.v68.28968&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2016 FrancePublisher:Stockholm University Press Funded by:NSF | CNH: Pluvials, Droughts, ..., NSF | Collaborative Research: E..., NSF | Collaborative Research: E... +1 projectsNSF| CNH: Pluvials, Droughts, Energetics, and the Mongol Empire ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSF| Collaborative Research: EaSM2--Wildfires and Regional Climate Variability - Mechanisms, Modeling, and Prediction ,NSERCAkihiko Ito; Motoko Inatomi; D. N. Huntzinger; Christopher R. Schwalm; A. M. Michalak; Robert B. Cook; A. W. King; Jiafu Mao; Yaxing Wei; W. M. Post; Weile Wang; M. Altaf Arain; Shengfu Huang; D. J. Hayes; Daniel M. Ricciuto; Xiaoying Shi; Maoyi Huang; Huimin Lei; Hanqin Tian; Chaoqun Lü; Jia Yang; Bo Tao; Atul K. Jain; Benjamin Poulter; Shushi Peng; Philippe Ciais; Joshua B. Fisher; Nicholas C. Parazoo; Kevin Schaefer; Changhui Peng; Ning Zeng; Fang Zhao;L'amplitude du cycle saisonnier (ACS) du taux d'échange dioxyde de carbone (CO2) atmosphère-écosystème est une mesure utile de la réactivité de la biosphère terrestre aux variations environnementales. Il n'est cependant pas clair quels mécanismes sous-jacents sont responsables de la tendance à la hausse observée du SCA dans la concentration atmosphérique de CO2. À l'aide des données de sortie du Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), nous avons étudié dans quelle mesure le SCA de l'échange de CO2 atmosphère-écosystème a été simulé avec 15 modèles d'écosystèmes terrestres contemporains au cours de la période 1901–2010. En outre, nous avons tenté d'évaluer les contributions de mécanismes potentiels tels que le CO2 atmosphérique, le climat, l'utilisation des terres et les dépôts d'azote, à l'aide d'expériences factorielles utilisant différentes combinaisons de données de forçage. Dans des conditions contemporaines, le SCA simulé à l'échelle mondiale du flux net cumulé de carbone de l'écosystème de la plupart des modèles était comparable en ampleur au SCA des concentrations atmosphériques de CO2. Les résultats des expériences de simulation factorielle ont montré que le CO2 atmosphérique élevé exerçait une forte influence sur l'amplification de la saisonnalité. Lorsque le modèle a pris en compte non seulement le changement climatique, mais également les changements dans l'utilisation des terres et le CO2 atmosphérique, la majorité des modèles ont montré des tendances d'amplification des SCA de la photosynthèse, de la respiration et de la production nette de l'écosystème (+0,19 % à +0,50 % an−1). Dans le cas du changement d'affectation des terres, il était difficile de séparer la contribution de la gestion agricole au SCA en raison des insuffisances des données et des modèles. L'amplification simulée de l'ACS était approximativement compatible avec les preuves observationnelles de l'ACS dans les concentrations atmosphériques de CO2. De grandes différences entre les modèles sont toutefois restées dans les tendances mondiales simulées et les schémas spatiaux des échanges de CO2. D'autres études sont nécessaires pour identifier une explication cohérente des tendances d'amplification simulées et observées, y compris leurs mécanismes sous-jacents. Néanmoins, cette étude impliquait que la surveillance de la saisonnalité des écosystèmes fournirait des informations utiles sur la dynamique des écosystèmes. La amplitud del ciclo estacional (ACE) del tipo de cambio atmósfera-dióxido de carbono (CO2) del ecosistema es una métrica útil de la capacidad de respuesta de la biosfera terrestre a las variaciones ambientales. Sin embargo, no está claro qué mecanismos subyacentes son responsables de la tendencia creciente observada de SCA en la concentración atmosférica de CO2. Utilizando los datos de salida del Proyecto de Intercomparación de Modelos Terrestres Multiescala (MsTMIP), investigamos qué tan bien se simuló el SCA del intercambio de CO2 entre la atmósfera y el ecosistema con 15 modelos de ecosistemas terrestres contemporáneos durante el período 1901–2010. Además, intentamos evaluar las contribuciones de posibles mecanismos como el CO2 atmosférico, el clima, el uso de la tierra y la deposición de nitrógeno, a través de experimentos factoriales utilizando diferentes combinaciones de datos de forzamiento. En condiciones contemporáneas, el SCA simulado a escala global del flujo neto acumulado de carbono del ecosistema de la mayoría de los modelos fue comparable en magnitud con el SCA de las concentraciones atmosféricas de CO2. Los resultados de los experimentos de simulación factorial mostraron que el CO2 atmosférico elevado ejercía una fuerte influencia en la amplificación de la estacionalidad. Cuando el modelo consideró no solo el cambio climático, sino también el uso de la tierra y los cambios de CO2 atmosférico, la mayoría de los modelos mostraron tendencias de amplificación de los SCA de fotosíntesis, respiración y producción neta del ecosistema (+0,19 % a +0,50 % año−1). En el caso del cambio de uso de la tierra, fue difícil separar la contribución de la gestión agrícola a la ACS debido a las deficiencias tanto en los datos como en los modelos. La amplificación simulada de SCA fue aproximadamente consistente con la evidencia observada de SCA en concentraciones atmosféricas de CO2. Sin embargo, se mantuvieron grandes diferencias intermodales en las tendencias globales simuladas y los patrones espaciales de los intercambios de CO2. Se requieren más estudios para identificar una explicación coherente de las tendencias de amplificación simuladas y observadas, incluidos sus mecanismos subyacentes. Sin embargo, este estudio implicó que el monitoreo de la estacionalidad de los ecosistemas proporcionaría información útil sobre la dinámica de los ecosistemas. The seasonal-cycle amplitude (SCA) of the atmosphere–ecosystem carbon dioxide (CO2) exchange rate is a useful metric of the responsiveness of the terrestrial biosphere to environmental variations. It is unclear, however, what underlying mechanisms are responsible for the observed increasing trend of SCA in atmospheric CO2 concentration. Using output data from the Multi-scale Terrestrial Model Intercomparison Project (MsTMIP), we investigated how well the SCA of atmosphere–ecosystem CO2 exchange was simulated with 15 contemporary terrestrial ecosystem models during the period 1901–2010. Also, we made attempt to evaluate the contributions of potential mechanisms such as atmospheric CO2, climate, land-use, and nitrogen deposition, through factorial experiments using different combinations of forcing data. Under contemporary conditions, the simulated global-scale SCA of the cumulative net ecosystem carbon flux of most models was comparable in magnitude with the SCA of atmospheric CO2 concentrations. Results from factorial simulation experiments showed that elevated atmospheric CO2 exerted a strong influence on the seasonality amplification. When the model considered not only climate change but also land-use and atmospheric CO2 changes, the majority of the models showed amplification trends of the SCAs of photosynthesis, respiration, and net ecosystem production (+0.19 % to +0.50 % yr−1). In the case of land-use change, it was difficult to separate the contribution of agricultural management to SCA because of inadequacies in both the data and models. The simulated amplification of SCA was approximately consistent with the observational evidence of the SCA in atmospheric CO2 concentrations. Large inter-model differences remained, however, in the simulated global tendencies and spatial patterns of CO2 exchanges. Further studies are required to identify a consistent explanation for the simulated and observed amplification trends, including their underlying mechanisms. Nevertheless, this study implied that monitoring of ecosystem seasonality would provide useful insights concerning ecosystem dynamics. تعد سعة الدورة الموسمية (SCA) لسعر صرف ثاني أكسيد الكربون في النظام البيئي للغلاف الجوي (CO2) مقياسًا مفيدًا لاستجابة المحيط الحيوي الأرضي للتغيرات البيئية. ومع ذلك، ليس من الواضح ما هي الآليات الأساسية المسؤولة عن الاتجاه المتزايد الملحوظ في تركيز ثاني أكسيد الكربون في الغلاف الجوي. باستخدام بيانات المخرجات من مشروع المقارنة البينية للنموذج الأرضي متعدد المقاييس (MsTMIP)، قمنا بالتحقيق في مدى محاكاة تبادل ثاني أكسيد الكربون في الغلاف الجوي مع 15 نموذجًا معاصرًا للنظام الإيكولوجي الأرضي خلال الفترة 1901–2010. كما حاولنا تقييم مساهمات الآليات المحتملة مثل ثاني أكسيد الكربون في الغلاف الجوي والمناخ واستخدام الأراضي وترسب النيتروجين، من خلال تجارب العوامل باستخدام مجموعات مختلفة من فرض البيانات. في ظل الظروف المعاصرة، كانت محاكاة تركيز ثاني أكسيد الكربون على المستوى العالمي لتدفق الكربون الصافي التراكمي للنظام الإيكولوجي لمعظم النماذج قابلة للمقارنة من حيث الحجم مع تركيزات ثاني أكسيد الكربون في الغلاف الجوي. أظهرت نتائج تجارب محاكاة العوامل أن ارتفاع ثاني أكسيد الكربون في الغلاف الجوي كان له تأثير قوي على التضخيم الموسمي. عندما نظر النموذج ليس فقط في تغير المناخ ولكن أيضًا في استخدام الأراضي وتغيرات ثاني أكسيد الكربون في الغلاف الجوي، أظهرت غالبية النماذج اتجاهات تضخيم SCAs للتمثيل الضوئي والتنفس وصافي إنتاج النظام البيئي (+0.19 ٪ إلى +0.50 ٪ سنة-1). في حالة تغيير استخدام الأراضي، كان من الصعب فصل مساهمة الإدارة الزراعية في هيئة الأوراق المالية والسلع بسبب أوجه القصور في كل من البيانات والنماذج. كان التضخيم المحاكى لـ SCA متسقًا تقريبًا مع الأدلة الرصدية لـ SCA في تركيزات ثاني أكسيد الكربون في الغلاف الجوي. ومع ذلك، لا تزال هناك اختلافات كبيرة بين النماذج في الاتجاهات العالمية المحاكاة والأنماط المكانية لتبادل ثاني أكسيد الكربون. هناك حاجة إلى مزيد من الدراسات لتحديد تفسير متسق لاتجاهات التضخيم المحاكاة والملاحظة، بما في ذلك آلياتها الأساسية. ومع ذلك، أشارت هذه الدراسة إلى أن رصد موسمية النظام الإيكولوجي من شأنه أن يوفر رؤى مفيدة بشأن ديناميات النظام الإيكولوجي.
Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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more_vert Tellus: Series B, Ch... arrow_drop_down Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016Data sources: Co-Action PublishingUniversité de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2016Full-Text: https://hal.science/hal-02923380Data sources: Bielefeld Academic Search Engine (BASE)Tellus: Series B, Chemical and Physical MeteorologyArticle . 2016 . Peer-reviewedData sources: CrossrefTellus: Series B, Chemical and Physical MeteorologyArticleLicense: CC BY NCData sources: UnpayWalladd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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