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

Kai Wang, Ana Bastos, Philippe Ciais, Xuhui Wang, Christian Rödenbeck, Pierre Gentine, Frédéric Chevallier, Vincent W. Humphrey, Chris Huntingford, Michael O’Sullivan, Sonia I. Seneviratne, Stephen Sitch and Shilong Piao ()
Additional contact information
Kai Wang: Peking University
Ana Bastos: Max Planck Institute for Biogeochemistry
Philippe Ciais: LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay
Xuhui Wang: Peking University
Christian Rödenbeck: Max Planck Institute for Biogeochemistry
Pierre Gentine: Columbia University
Frédéric Chevallier: LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay
Vincent W. Humphrey: California Institute of Technology
Chris Huntingford: U.K. Centre for Ecology and Hydrology, Benson Lane
Michael O’Sullivan: University of Exeter
Sonia I. Seneviratne: Institute for Atmospheric and Climate Science, ETH Zurich
Stephen Sitch: University of Exeter
Shilong Piao: Peking University

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: Abstract Global fluctuations in annual land carbon uptake (NEEIAV) 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 NEEIAV 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 NEEIAV, 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 NEEIAV and discuss their implications for future carbon–climate feedbacks.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-31175-w

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DOI: 10.1038/s41467-022-31175-w

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