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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint 2020 United Kingdom, France, Austria, Netherlands, France, Belgium, FrancePublisher: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.eumore_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 Spain, France, Belgium, United KingdomPublisher: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.eumore_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 France, United Kingdom, Switzerland, United Kingdom, Netherlands, Netherlands, United Kingdom, Netherlands, United Kingdom, Norway, United KingdomPublisher:Copernicus GmbH Funded by:EC | CARBOCHANGE, SNSF | Klima- und Umweltphysik, RCN | Support for the Scientifi... +3 projectsEC| CARBOCHANGE ,SNSF| Klima- und Umweltphysik ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental PhysicsClare 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.
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For further information contact us at helpdesk@openaire.eumore_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 , Journal 2019 United Kingdom, United Kingdom, Ireland, United Kingdom, United States, Germany, France, Ireland, United States, FinlandPublisher:Springer Science and Business Media LLC Funded by:ARC | ARC Centres of Excellence..., EC | QUINCYARC| ARC Centres of Excellences - Grant ID: CE170100023 ,EC| QUINCYChristian Werner; Bertrand Guenet; Shinichi Asao; Jianyang Xia; Thomas Hickler; Colleen M. Iversen; Belinda E. Medlyn; J. Patrick Megonigal; Richard J. Norby; K. A. Luus; Yiqi Luo; Alan F. Talhelm; Anthony P. Walker; Meng Lu; Meng Lu; Bai Yang; Sönke Zaehle; Atul K. Jain; Ram Oren; Ram Oren; Xingjie Lu; Anna B. Harper; Martin G. De Kauwe; Ying-Ping Wang; Jeffrey M. Warren; Donald R. Zak; Shijie Shu; Edmund Ryan; Bruce A. Hungate;pmid: 30765702
pmc: PMC6376023
AbstractIncreasing atmospheric CO2 stimulates photosynthesis which can increase net primary production (NPP), but at longer timescales may not necessarily increase plant biomass. Here we analyse the four decade-long CO2-enrichment experiments in woody ecosystems that measured total NPP and biomass. CO2 enrichment increased biomass increment by 1.05 ± 0.26 kg C m−2 over a full decade, a 29.1 ± 11.7% stimulation of biomass gain in these early-secondary-succession temperate ecosystems. This response is predictable by combining the CO2 response of NPP (0.16 ± 0.03 kg C m−2 y−1) and the CO2-independent, linear slope between biomass increment and cumulative NPP (0.55 ± 0.17). An ensemble of terrestrial ecosystem models fail to predict both terms correctly. Allocation to wood was a driver of across-site, and across-model, response variability and together with CO2-independence of biomass retention highlights the value of understanding drivers of wood allocation under ambient conditions to correctly interpret and predict CO2 responses.
Hyper Article en Lig... arrow_drop_down Dublin Institute of Technology: ARROW@DIT (Archiving Research Resources on he Web)Article . 2019License: CC BYFull-Text: https://arrow.tudublin.ie/scschbioart/203Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39982Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2019License: CC BYFull-Text: https://escholarship.org/uc/item/5m5806shData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiThe University of Manchester - Institutional RepositoryArticle . 2019Data sources: The University of Manchester - Institutional RepositoryeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainUniversity of Bristol: Bristol ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Duke University Libraries: DukeSpaceArticle . 2023Data 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/s41467-019-08348-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert Hyper Article en Lig... arrow_drop_down Dublin Institute of Technology: ARROW@DIT (Archiving Research Resources on he Web)Article . 2019License: CC BYFull-Text: https://arrow.tudublin.ie/scschbioart/203Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39982Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2019License: CC BYFull-Text: https://escholarship.org/uc/item/5m5806shData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiThe University of Manchester - Institutional RepositoryArticle . 2019Data sources: The University of Manchester - Institutional RepositoryeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainUniversity of Bristol: Bristol ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Duke University Libraries: DukeSpaceArticle . 2023Data 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/s41467-019-08348-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Springer Science and Business Media LLC Madhu Khanna; Atul K. Jain; William Landuyt; Haroon S. Kheshgi; Yang Song;Perennial grasses, such as switchgrass (Panicum viragatum) and Miscanthus (Miscanthus × giganteus), are potential choices for biomass feedstocks with low-input and high dry matter yield per hectare in the USA and Europe. However, the biophysical potential to grow bioenergy grasses varies with time and space due to changes in environmental conditions. Here, we integrate the dynamic crop growth processes for Miscanthus and two different cultivars of switchgrass, Cave-in-Rock and Alamo, into a land surface model, the Integrated Science Assessment Model (ISAM), to estimate the spatial and temporal variations of biomass yields over the period 2001–2012 in the eastern USA. The validation with observed data from sites across diverse environmental conditions suggests that the model is able to simulate the dynamic response of bioenergy grass growth to changes in environmental conditions in the central and south of the USA. The model is applied to identify four spatial zones characterized by their average yield amplitude and temporal yield variance (or stability) over 2001–2012 in the USA: a high and stable yield zone (HS), a high and unstable yield zone (HU), a low and stable yield zone (LS), and a low and unstable yield zone (LU). The HS zones are mainly distributed in the regions with precipitation larger than 600 mm, and mean temperature range 292–294 K during the growing season, including southern Missouri, northwestern Arkansas, southern Illinois, southern Indiana, southern Ohio, western Kentucky, and parts of northern Virginia. The LU yield zones are distributed in southern parts of Great Plains with water stress conditions and higher temporal variances in precipitation, such as Oklahoma and Kansas. Three bioenergy grasses may not grow in the LS yield zones, including western parts of Great Plains due to extreme low precipitation and poor soil texture, and upper part of north central, northeastern, and northern New England due to extreme cold conditions.
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.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 United Kingdom, Netherlands, Germany, Belgium, Austria, United Kingdom, Netherlands, United States, NetherlandsPublisher:Wiley Funded by:EC | SIGMA, EC | LUC4CEC| SIGMA ,EC| LUC4CCarlo Lavalle; Shinichiro Fujimori; Robert Dunford; Tamás Krisztin; Atul K. Jain; Tom Powell; Andrzej Tabeau; Katherine Calvin; Mark Rounsevell; Ronald D. Sands; Paula A. Harrison; Sascha Holzhauer; Prasanth Meiyappan; Peter H. Verburg; Tomoko Hasegawa; Adam Butler; Timothy M. Lenton; Alexander Popp; Peter Alexander; Peter Alexander; Filipe Batista e Silva; Calum Brown; Florian Humpenöder; Jiayi Liu; Nicolas Dendoncker; Almut Arneth; Petr Havlik; Marshall Wise; David A. Eitelberg; Kerstin Engström; Jevgenijs Steinbuks; Reinhard Prestele; Page Kyle; Claudia Baranzelli; Rüdiger Schaldach; Elke Stehfest; Hans van Meijl; Chris Jacobs-Crisioni; Jonathan C. Doelman;AbstractUnderstanding uncertainties in land cover projections is critical to investigating land‐based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the agro‐economic models included in previous comparisons. The results from 75 simulations over 18 models are analysed and show a large range in land cover area projections, with the highest variability occurring in future cropland areas. We demonstrate systematic differences in land cover areas associated with the characteristics of the modelling approach, which is at least as great as the differences attributed to the scenario variations. The results lead us to conclude that a higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections. To account for land use uncertainty, it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate. Additionally, further work is needed to better understand the assumptions driving land use model results and reveal the causes of uncertainty in more depth, to help reduce model uncertainty and improve the projections of land cover.
NERC Open Research A... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/9xq5m34hData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiahttp://dx.doi.org/10.1111/gcb....Other literature typeData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 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.eumore_vert NERC Open Research A... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/9xq5m34hData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiahttp://dx.doi.org/10.1111/gcb....Other literature typeData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 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.
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For further information contact us at helpdesk@openaire.eumore_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 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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For further information contact us at helpdesk@openaire.eumore_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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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Germany, Austria, Germany, France, Germany, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | EARTH@LTERNATIVES, NSF | NRT INFEWS: computational..., NSF | Graduate Research Fellows... +1 projectsEC| EARTH@LTERNATIVES ,NSF| NRT INFEWS: computational data science to advance research at the energy-environment nexus ,NSF| Graduate Research Fellowship Program (GRFP) ,NSF| DMUU: Center for Robust Decision-Making Tools for Climate and Energy PolicyHaynes Stephens; Meridel Phillips; Meridel Phillips; Rastislav Skalsky; Jens Heinke; Tommaso Stella; Babacar Faye; Masashi Okada; Jonas Jägermeyr; Jonas Jägermeyr; Jonas Jägermeyr; David Kelly; Juraj Balkovic; Juraj Balkovic; Oleksandr Mialyk; Alex C. Ruane; Toshichika Iizumi; Christoph Müller; Stefan Lange; Oscar Castillo; Gerrit Hoogenboom; Kathrin Fuchs; Joep F. Schyns; James A. Franke; Wenfeng Liu; Sara Minoli; Heidi Webber; Cynthia Rosenzweig; Clemens Scheer; Joshua Elliott; Elisabeth J. Moyer; Sam S. Rabin; Sam S. Rabin; Cheryl Porter; Christian Folberth; Ian Foster; Atul K. Jain; Nikolay Khabarov; Florian Zabel; Tzu-Shun Lin; Andrew Smerald; Julia M. Schneider; Jose R. Guarin; Jose R. Guarin;pmid: 37117503
Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project's Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated uncertainties were substantial. Here we report new twenty-first-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5% to -6% (SSP126) and from +1% to -24% (SSP585)-explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9% shifted to +18%, SSP585), linked to higher CO2 concentrations and expanded high-latitude gains. The 'emergence' of climate impacts consistently occurs earlier in the new projections-before 2040 for several main producing regions. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data 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.eumore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data 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.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal , Other ORP type 2013 France, United Kingdom, Germany, United Kingdom, Belgium, United Kingdom, United States, Norway, Netherlands, United States, Germany, United States, Australia, Switzerland, NetherlandsPublisher:Copernicus GmbH Funded by:RCN | Support for the Scientifi..., EC | LUC4C, EC | COMBINE +4 projectsRCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| LUC4C ,EC| COMBINE ,EC| CARBOCHANGE ,NSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,EC| GEOCARBON ,EC| EMBRACEPieter P. Tans; C. Le Quéré; Sönke Zaehle; Atul K. Jain; Fabienne Maignan; Jörg Schwinger; Jörg Schwinger; Dorothee C. E. Bakker; Steve D Jones; Geun-Ha Park; Christian Rödenbeck; Laurent Bopp; Arne Körtzinger; Abdirahman M Omar; Bronte Tilbrook; Gregg Marland; T. Ono; Joachim Segschneider; Thomas A. Boden; Richard A. Houghton; Andy Wiltshire; Pierre Regnier; Louise Chini; Philippe Ciais; Joanna Isobel House; Taro Takahashi; Almut Arneth; Glen P. Peters; Josep G. Canadell; Etsushi Kato; Robert J. Andres; Kees Klein Goldewijk; Benjamin Poulter; Anna B. Harper; Rik Wanninkhof; Pierre Friedlingstein; Michael R. Raupach; Benjamin D. Stocker; Stephen Sitch; Ralph F. Keeling; Benjamin Pfeil; Benjamin Pfeil; Robbie M. Andrew; S. van Heuven; Charles D. Koven; R. Moriarty; S. Saito; Nathalie Lefèvre; Scott C. Doney; Ian Harris; A. Arvanitis; Nicolas Viovy;Abstract. Accurate assessment 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 development of climate policies, and project future climate change. Here we describe datasets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates consistency within and among components, alongside 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 annual changes in 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. The variability in SOCEAN is evaluated for the first time in this budget with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of Dynamic Global Vegetation Models. All uncertainties are reported as ± 1 sigma, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2003–2012), EFF was 8.6 ± 0.4 GtC yr−1, ELUC 0.8 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.6 ± 0.8 GtC yr−1. For year 2012 alone, EFF grew to 9.7 ± 0.5 GtC yr−1, 2.2% above 2011, reflecting a continued trend in these emissions; GATM was 5.2 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and assuming and ELUC of 0.9 ± 0.5 GtC yr−1 (based on 2001–2010 average), SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2012 compared to the 2003–2012 average, almost entirely reflecting the high EFF. The global atmospheric CO2 concentration reached 392.52 ± 0.10 ppm on average over 2012. We estimate that EFF will increase by 2.1% (1.1–3.1%) to 9.9 ± 0.5 GtC in 2013, 61% above emissions in 1990, based on projections of World Gross Domestic Product and recent changes in the carbon intensity of the economy. With this projection, cumulative emissions of CO2 will reach about 550 ± 60 GtC for 1870–2013, 70% from EFF (390 ± 20 GtC) and 30% from ELUC (160 ± 55 GtC). 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 (10.3334/CDIAC/GCP_2013_v1.1).
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData 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.eumore_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData 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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description Publicationkeyboard_double_arrow_right Article , Conference object , Other literature type , Journal , Preprint 2020 United Kingdom, France, Austria, Netherlands, France, Belgium, FrancePublisher: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.eumore_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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type , Journal 2019 Spain, France, Belgium, United KingdomPublisher: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.eumore_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 France, United Kingdom, Switzerland, United Kingdom, Netherlands, Netherlands, United Kingdom, Netherlands, United Kingdom, Norway, United KingdomPublisher:Copernicus GmbH Funded by:EC | CARBOCHANGE, SNSF | Klima- und Umweltphysik, RCN | Support for the Scientifi... +3 projectsEC| CARBOCHANGE ,SNSF| Klima- und Umweltphysik ,RCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| GEOCARBON ,EC| COMBINE ,SNSF| Climate and Environmental PhysicsClare 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.eumore_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 , Journal 2019 United Kingdom, United Kingdom, Ireland, United Kingdom, United States, Germany, France, Ireland, United States, FinlandPublisher:Springer Science and Business Media LLC Funded by:ARC | ARC Centres of Excellence..., EC | QUINCYARC| ARC Centres of Excellences - Grant ID: CE170100023 ,EC| QUINCYChristian Werner; Bertrand Guenet; Shinichi Asao; Jianyang Xia; Thomas Hickler; Colleen M. Iversen; Belinda E. Medlyn; J. Patrick Megonigal; Richard J. Norby; K. A. Luus; Yiqi Luo; Alan F. Talhelm; Anthony P. Walker; Meng Lu; Meng Lu; Bai Yang; Sönke Zaehle; Atul K. Jain; Ram Oren; Ram Oren; Xingjie Lu; Anna B. Harper; Martin G. De Kauwe; Ying-Ping Wang; Jeffrey M. Warren; Donald R. Zak; Shijie Shu; Edmund Ryan; Bruce A. Hungate;pmid: 30765702
pmc: PMC6376023
AbstractIncreasing atmospheric CO2 stimulates photosynthesis which can increase net primary production (NPP), but at longer timescales may not necessarily increase plant biomass. Here we analyse the four decade-long CO2-enrichment experiments in woody ecosystems that measured total NPP and biomass. CO2 enrichment increased biomass increment by 1.05 ± 0.26 kg C m−2 over a full decade, a 29.1 ± 11.7% stimulation of biomass gain in these early-secondary-succession temperate ecosystems. This response is predictable by combining the CO2 response of NPP (0.16 ± 0.03 kg C m−2 y−1) and the CO2-independent, linear slope between biomass increment and cumulative NPP (0.55 ± 0.17). An ensemble of terrestrial ecosystem models fail to predict both terms correctly. Allocation to wood was a driver of across-site, and across-model, response variability and together with CO2-independence of biomass retention highlights the value of understanding drivers of wood allocation under ambient conditions to correctly interpret and predict CO2 responses.
Hyper Article en Lig... arrow_drop_down Dublin Institute of Technology: ARROW@DIT (Archiving Research Resources on he Web)Article . 2019License: CC BYFull-Text: https://arrow.tudublin.ie/scschbioart/203Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39982Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2019License: CC BYFull-Text: https://escholarship.org/uc/item/5m5806shData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiThe University of Manchester - Institutional RepositoryArticle . 2019Data sources: The University of Manchester - Institutional RepositoryeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainUniversity of Bristol: Bristol ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Duke University Libraries: DukeSpaceArticle . 2023Data 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/s41467-019-08348-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert Hyper Article en Lig... arrow_drop_down Dublin Institute of Technology: ARROW@DIT (Archiving Research Resources on he Web)Article . 2019License: CC BYFull-Text: https://arrow.tudublin.ie/scschbioart/203Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2019License: CC BYFull-Text: http://hdl.handle.net/10871/39982Data sources: Bielefeld Academic Search Engine (BASE)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2019License: CC BYFull-Text: https://escholarship.org/uc/item/5m5806shData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2019Full-Text: https://hal.science/hal-02374049Data sources: Bielefeld Academic Search Engine (BASE)HELDA - Digital Repository of the University of HelsinkiArticle . 2019 . Peer-reviewedData sources: HELDA - Digital Repository of the University of HelsinkiThe University of Manchester - Institutional RepositoryArticle . 2019Data sources: The University of Manchester - Institutional RepositoryeScholarship - University of CaliforniaArticle . 2019Data sources: eScholarship - University of CaliforniaHochschulschriftenserver - Universität Frankfurt am MainArticle . 2019Data sources: Hochschulschriftenserver - Universität Frankfurt am MainUniversity of Bristol: Bristol ResearchArticle . 2019Data sources: Bielefeld Academic Search Engine (BASE)University of Western Sydney (UWS): Research DirectArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Publication Server of Goethe University Frankfurt am MainArticle . 2019License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Duke University Libraries: DukeSpaceArticle . 2023Data 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/s41467-019-08348-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal 2014Publisher:Springer Science and Business Media LLC Madhu Khanna; Atul K. Jain; William Landuyt; Haroon S. Kheshgi; Yang Song;Perennial grasses, such as switchgrass (Panicum viragatum) and Miscanthus (Miscanthus × giganteus), are potential choices for biomass feedstocks with low-input and high dry matter yield per hectare in the USA and Europe. However, the biophysical potential to grow bioenergy grasses varies with time and space due to changes in environmental conditions. Here, we integrate the dynamic crop growth processes for Miscanthus and two different cultivars of switchgrass, Cave-in-Rock and Alamo, into a land surface model, the Integrated Science Assessment Model (ISAM), to estimate the spatial and temporal variations of biomass yields over the period 2001–2012 in the eastern USA. The validation with observed data from sites across diverse environmental conditions suggests that the model is able to simulate the dynamic response of bioenergy grass growth to changes in environmental conditions in the central and south of the USA. The model is applied to identify four spatial zones characterized by their average yield amplitude and temporal yield variance (or stability) over 2001–2012 in the USA: a high and stable yield zone (HS), a high and unstable yield zone (HU), a low and stable yield zone (LS), and a low and unstable yield zone (LU). The HS zones are mainly distributed in the regions with precipitation larger than 600 mm, and mean temperature range 292–294 K during the growing season, including southern Missouri, northwestern Arkansas, southern Illinois, southern Indiana, southern Ohio, western Kentucky, and parts of northern Virginia. The LU yield zones are distributed in southern parts of Great Plains with water stress conditions and higher temporal variances in precipitation, such as Oklahoma and Kansas. Three bioenergy grasses may not grow in the LS yield zones, including western parts of Great Plains due to extreme low precipitation and poor soil texture, and upper part of north central, northeastern, and northern New England due to extreme cold conditions.
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=10.1007/s12155-014-9546-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert 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=10.1007/s12155-014-9546-1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Journal , Other literature type 2016 United Kingdom, Netherlands, Germany, Belgium, Austria, United Kingdom, Netherlands, United States, NetherlandsPublisher:Wiley Funded by:EC | SIGMA, EC | LUC4CEC| SIGMA ,EC| LUC4CCarlo Lavalle; Shinichiro Fujimori; Robert Dunford; Tamás Krisztin; Atul K. Jain; Tom Powell; Andrzej Tabeau; Katherine Calvin; Mark Rounsevell; Ronald D. Sands; Paula A. Harrison; Sascha Holzhauer; Prasanth Meiyappan; Peter H. Verburg; Tomoko Hasegawa; Adam Butler; Timothy M. Lenton; Alexander Popp; Peter Alexander; Peter Alexander; Filipe Batista e Silva; Calum Brown; Florian Humpenöder; Jiayi Liu; Nicolas Dendoncker; Almut Arneth; Petr Havlik; Marshall Wise; David A. Eitelberg; Kerstin Engström; Jevgenijs Steinbuks; Reinhard Prestele; Page Kyle; Claudia Baranzelli; Rüdiger Schaldach; Elke Stehfest; Hans van Meijl; Chris Jacobs-Crisioni; Jonathan C. Doelman;AbstractUnderstanding uncertainties in land cover projections is critical to investigating land‐based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the agro‐economic models included in previous comparisons. The results from 75 simulations over 18 models are analysed and show a large range in land cover area projections, with the highest variability occurring in future cropland areas. We demonstrate systematic differences in land cover areas associated with the characteristics of the modelling approach, which is at least as great as the differences attributed to the scenario variations. The results lead us to conclude that a higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections. To account for land use uncertainty, it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate. Additionally, further work is needed to better understand the assumptions driving land use model results and reveal the causes of uncertainty in more depth, to help reduce model uncertainty and improve the projections of land cover.
NERC Open Research A... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/9xq5m34hData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiahttp://dx.doi.org/10.1111/gcb....Other literature typeData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 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.eumore_vert NERC Open Research A... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2016Data sources: Bielefeld Academic Search Engine (BASE)University of California: eScholarshipArticle . 2017Full-Text: https://escholarship.org/uc/item/9xq5m34hData sources: Bielefeld Academic Search Engine (BASE)Global Change BiologyArticle . 2016 . Peer-reviewedLicense: Wiley Online Library User AgreementData sources: CrossrefeScholarship - University of CaliforniaArticle . 2017Data sources: eScholarship - University of Californiahttp://dx.doi.org/10.1111/gcb....Other literature typeData sources: European Union Open Data PortalPublication Database PIK (Potsdam Institute for Climate Impact Research)Article . 2017Data sources: Bielefeld Academic Search Engine (BASE)Natural Environment Research Council: NERC Open Research ArchiveArticle . 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.
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For further information contact us at helpdesk@openaire.eumore_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 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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For further information contact us at helpdesk@openaire.eumore_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 2021 Germany, Austria, Germany, France, Germany, NetherlandsPublisher:Springer Science and Business Media LLC Funded by:EC | EARTH@LTERNATIVES, NSF | NRT INFEWS: computational..., NSF | Graduate Research Fellows... +1 projectsEC| EARTH@LTERNATIVES ,NSF| NRT INFEWS: computational data science to advance research at the energy-environment nexus ,NSF| Graduate Research Fellowship Program (GRFP) ,NSF| DMUU: Center for Robust Decision-Making Tools for Climate and Energy PolicyHaynes Stephens; Meridel Phillips; Meridel Phillips; Rastislav Skalsky; Jens Heinke; Tommaso Stella; Babacar Faye; Masashi Okada; Jonas Jägermeyr; Jonas Jägermeyr; Jonas Jägermeyr; David Kelly; Juraj Balkovic; Juraj Balkovic; Oleksandr Mialyk; Alex C. Ruane; Toshichika Iizumi; Christoph Müller; Stefan Lange; Oscar Castillo; Gerrit Hoogenboom; Kathrin Fuchs; Joep F. Schyns; James A. Franke; Wenfeng Liu; Sara Minoli; Heidi Webber; Cynthia Rosenzweig; Clemens Scheer; Joshua Elliott; Elisabeth J. Moyer; Sam S. Rabin; Sam S. Rabin; Cheryl Porter; Christian Folberth; Ian Foster; Atul K. Jain; Nikolay Khabarov; Florian Zabel; Tzu-Shun Lin; Andrew Smerald; Julia M. Schneider; Jose R. Guarin; Jose R. Guarin;pmid: 37117503
Potential climate-related impacts on future crop yield are a major societal concern. Previous projections of the Agricultural Model Intercomparison and Improvement Project's Global Gridded Crop Model Intercomparison based on the Coupled Model Intercomparison Project Phase 5 identified substantial climate impacts on all major crops, but associated uncertainties were substantial. Here we report new twenty-first-century projections using ensembles of latest-generation crop and climate models. Results suggest markedly more pessimistic yield responses for maize, soybean and rice compared to the original ensemble. Mean end-of-century maize productivity is shifted from +5% to -6% (SSP126) and from +1% to -24% (SSP585)-explained by warmer climate projections and improved crop model sensitivities. In contrast, wheat shows stronger gains (+9% shifted to +18%, SSP585), linked to higher CO2 concentrations and expanded high-latitude gains. The 'emergence' of climate impacts consistently occurs earlier in the new projections-before 2040 for several main producing regions. While future yield estimates remain uncertain, these results suggest that major breadbasket regions will face distinct anthropogenic climatic risks sooner than previously anticipated.
KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data 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.eumore_vert KITopen (Karlsruhe I... arrow_drop_down KITopen (Karlsruhe Institute of Technologie)Article . 2021Data 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 , Other ORP type 2013 France, United Kingdom, Germany, United Kingdom, Belgium, United Kingdom, United States, Norway, Netherlands, United States, Germany, United States, Australia, Switzerland, NetherlandsPublisher:Copernicus GmbH Funded by:RCN | Support for the Scientifi..., EC | LUC4C, EC | COMBINE +4 projectsRCN| Support for the Scientific Steering Committee of the Global Carbon Project ,EC| LUC4C ,EC| COMBINE ,EC| CARBOCHANGE ,NSF| Collaborative Research: Improved Regional and Decadal Predictions of the Carbon Cycle ,EC| GEOCARBON ,EC| EMBRACEPieter P. Tans; C. Le Quéré; Sönke Zaehle; Atul K. Jain; Fabienne Maignan; Jörg Schwinger; Jörg Schwinger; Dorothee C. E. Bakker; Steve D Jones; Geun-Ha Park; Christian Rödenbeck; Laurent Bopp; Arne Körtzinger; Abdirahman M Omar; Bronte Tilbrook; Gregg Marland; T. Ono; Joachim Segschneider; Thomas A. Boden; Richard A. Houghton; Andy Wiltshire; Pierre Regnier; Louise Chini; Philippe Ciais; Joanna Isobel House; Taro Takahashi; Almut Arneth; Glen P. Peters; Josep G. Canadell; Etsushi Kato; Robert J. Andres; Kees Klein Goldewijk; Benjamin Poulter; Anna B. Harper; Rik Wanninkhof; Pierre Friedlingstein; Michael R. Raupach; Benjamin D. Stocker; Stephen Sitch; Ralph F. Keeling; Benjamin Pfeil; Benjamin Pfeil; Robbie M. Andrew; S. van Heuven; Charles D. Koven; R. Moriarty; S. Saito; Nathalie Lefèvre; Scott C. Doney; Ian Harris; A. Arvanitis; Nicolas Viovy;Abstract. Accurate assessment 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 development of climate policies, and project future climate change. Here we describe datasets and a methodology to quantify all major components of the global carbon budget, including their uncertainties, based on the combination of a range of data, algorithms, statistics and model estimates and their interpretation by a broad scientific community. We discuss changes compared to previous estimates consistency within and among components, alongside 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 annual changes in 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. The variability in SOCEAN is evaluated for the first time in this budget with data products based on surveys of ocean CO2 measurements. The global residual terrestrial CO2 sink (SLAND) is estimated by the difference of the other terms of the global carbon budget and compared to results of Dynamic Global Vegetation Models. All uncertainties are reported as ± 1 sigma, reflecting the current capacity to characterise the annual estimates of each component of the global carbon budget. For the last decade available (2003–2012), EFF was 8.6 ± 0.4 GtC yr−1, ELUC 0.8 ± 0.5 GtC yr−1, GATM 4.3 ± 0.1 GtC yr−1, SOCEAN 2.6 ± 0.5 GtC yr−1, and SLAND 2.6 ± 0.8 GtC yr−1. For year 2012 alone, EFF grew to 9.7 ± 0.5 GtC yr−1, 2.2% above 2011, reflecting a continued trend in these emissions; GATM was 5.2 ± 0.2 GtC yr−1, SOCEAN was 2.9 ± 0.5 GtC yr−1, and assuming and ELUC of 0.9 ± 0.5 GtC yr−1 (based on 2001–2010 average), SLAND was 2.5 ± 0.9 GtC yr−1. GATM was high in 2012 compared to the 2003–2012 average, almost entirely reflecting the high EFF. The global atmospheric CO2 concentration reached 392.52 ± 0.10 ppm on average over 2012. We estimate that EFF will increase by 2.1% (1.1–3.1%) to 9.9 ± 0.5 GtC in 2013, 61% above emissions in 1990, based on projections of World Gross Domestic Product and recent changes in the carbon intensity of the economy. With this projection, cumulative emissions of CO2 will reach about 550 ± 60 GtC for 1870–2013, 70% from EFF (390 ± 20 GtC) and 30% from ELUC (160 ± 55 GtC). 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 (10.3334/CDIAC/GCP_2013_v1.1).
University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData 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.eumore_vert University of East A... arrow_drop_down University of East Anglia digital repositoryArticle . 2014 . Peer-reviewedLicense: CC BYData sources: University of East Anglia digital repositoryBern Open Repository and Information System (BORIS)Article . 2014 . Peer-reviewedData sources: Bern Open Repository and Information System (BORIS)Université de Versailles Saint-Quentin-en-Yvelines: HAL-UVSQArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Open Research ExeterArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of East Anglia: UEA Digital RepositoryArticle . 2014License: CC BYData sources: Bielefeld Academic Search Engine (BASE)University of Bergen: Bergen Open Research Archive (BORA-UiB)Article . 2015License: CC BYFull-Text: https://hdl.handle.net/1956/10495Data sources: Bielefeld Academic Search Engine (BASE)KITopen (Karlsruhe Institute of Technologie)Article . 2015License: CC BYData sources: Bielefeld Academic Search Engine (BASE)Woods Hole Open Access ServerArticle . 2014License: CC BYFull-Text: https://doi.org/10.3334/CDIAC/GCP_2013_V2.3Data sources: Bielefeld Academic Search Engine (BASE)École Polytechnique, Université Paris-Saclay: HALArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)Australian National University: ANU Digital CollectionsArticleFull-Text: http://hdl.handle.net/1885/74928Data sources: Bielefeld Academic Search Engine (BASE)Columbia University Academic CommonsArticle . 2014Full-Text: https://doi.org/10.7916/D8319V8NData sources: Bielefeld Academic Search Engine (BASE)Institut national des sciences de l'Univers: HAL-INSUArticle . 2014Full-Text: https://hal.science/hal-01828526Data sources: Bielefeld Academic Search Engine (BASE)https://doi.org/10.5194/essdd-...Article . 2013 . Peer-reviewedLicense: CC BYData sources: CrossrefEarth System Science Data (ESSD)Article . 2014 . Peer-reviewedLicense: CC BYData sources: CrossrefNorwegian Open Research ArchivesOther ORP type . 2014Data sources: Norwegian Open Research ArchivesBergen Open Research Archive - UiBArticle . 2014 . Peer-reviewedLicense: CC BYData sources: Bergen Open Research Archive - UiBUniversity of Bristol: Bristol ResearchArticle . 2014Data sources: Bielefeld Academic Search Engine (BASE)ArchiMer - Institutional Archive of IfremerOther literature type . 2014Data sources: ArchiMer - Institutional Archive of Ifremerhttp://dx.doi.org/10.5194/essd...Other literature typeData 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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