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Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability

Global fluctuations in annual land carbon uptake (NEE(IAV)) depend on water and temperature variability, yet debate remains about local and seasonal controls of the global dependences. Here, we quantify regional and seasonal contributions to the correlations of globally-averaged NEE(IAV) against ter...

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Autores principales: Wang, Kai, Bastos, Ana, Ciais, Philippe, Wang, Xuhui, Rödenbeck, Christian, Gentine, Pierre, Chevallier, Frédéric, Humphrey, Vincent W., Huntingford, Chris, O’Sullivan, Michael, Seneviratne, Sonia I., Sitch, Stephen, Piao, Shilong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203577/
https://www.ncbi.nlm.nih.gov/pubmed/35710906
http://dx.doi.org/10.1038/s41467-022-31175-w
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author Wang, Kai
Bastos, Ana
Ciais, Philippe
Wang, Xuhui
Rödenbeck, Christian
Gentine, Pierre
Chevallier, Frédéric
Humphrey, Vincent W.
Huntingford, Chris
O’Sullivan, Michael
Seneviratne, Sonia I.
Sitch, Stephen
Piao, Shilong
author_facet Wang, Kai
Bastos, Ana
Ciais, Philippe
Wang, Xuhui
Rödenbeck, Christian
Gentine, Pierre
Chevallier, Frédéric
Humphrey, Vincent W.
Huntingford, Chris
O’Sullivan, Michael
Seneviratne, Sonia I.
Sitch, Stephen
Piao, Shilong
author_sort Wang, Kai
collection PubMed
description Global fluctuations in annual land carbon uptake (NEE(IAV)) depend on water and temperature variability, yet debate remains about local and seasonal controls of the global dependences. Here, we quantify regional and seasonal contributions to the correlations of globally-averaged NEE(IAV) against terrestrial water storage (TWS) and temperature, and respective uncertainties, using three approaches: atmospheric inversions, process-based vegetation models, and data-driven models. The three approaches agree that the tropics contribute over 63% of the global correlations, but differ on the dominant driver of the global NEE(IAV), because they disagree on seasonal temperature effects in the Northern Hemisphere (NH, >25°N). In the NH, inversions and process-based models show inter-seasonal compensation of temperature effects, inducing a global TWS dominance supported by observations. Data-driven models show weaker seasonal compensation, thereby estimating a global temperature dominance. We provide a roadmap to fully understand drivers of global NEE(IAV) and discuss their implications for future carbon–climate feedbacks.
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spelling pubmed-92035772022-06-18 Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability Wang, Kai Bastos, Ana Ciais, Philippe Wang, Xuhui Rödenbeck, Christian Gentine, Pierre Chevallier, Frédéric Humphrey, Vincent W. Huntingford, Chris O’Sullivan, Michael Seneviratne, Sonia I. Sitch, Stephen Piao, Shilong Nat Commun Article Global fluctuations in annual land carbon uptake (NEE(IAV)) depend on water and temperature variability, yet debate remains about local and seasonal controls of the global dependences. Here, we quantify regional and seasonal contributions to the correlations of globally-averaged NEE(IAV) against terrestrial water storage (TWS) and temperature, and respective uncertainties, using three approaches: atmospheric inversions, process-based vegetation models, and data-driven models. The three approaches agree that the tropics contribute over 63% of the global correlations, but differ on the dominant driver of the global NEE(IAV), because they disagree on seasonal temperature effects in the Northern Hemisphere (NH, >25°N). In the NH, inversions and process-based models show inter-seasonal compensation of temperature effects, inducing a global TWS dominance supported by observations. Data-driven models show weaker seasonal compensation, thereby estimating a global temperature dominance. We provide a roadmap to fully understand drivers of global NEE(IAV) and discuss their implications for future carbon–climate feedbacks. Nature Publishing Group UK 2022-06-16 /pmc/articles/PMC9203577/ /pubmed/35710906 http://dx.doi.org/10.1038/s41467-022-31175-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wang, Kai
Bastos, Ana
Ciais, Philippe
Wang, Xuhui
Rödenbeck, Christian
Gentine, Pierre
Chevallier, Frédéric
Humphrey, Vincent W.
Huntingford, Chris
O’Sullivan, Michael
Seneviratne, Sonia I.
Sitch, Stephen
Piao, Shilong
Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
title Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
title_full Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
title_fullStr Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
title_full_unstemmed Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
title_short Regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
title_sort regional and seasonal partitioning of water and temperature controls on global land carbon uptake variability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9203577/
https://www.ncbi.nlm.nih.gov/pubmed/35710906
http://dx.doi.org/10.1038/s41467-022-31175-w
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