Trends and Drivers of Terrestrial Sources and Sinks of Carbon Dioxide: An Overview of the TRENDY Project

Stephen Sitch*, Michael O’Sullivan, Eddy Robertson, Pierre Friedlingstein, Clément Albergel, Peter Anthoni, Almut Arneth, Vivek K. Arora, Ana Bastos, Vladislav Bastrikov, Nicolas Bellouin, Josep G. Canadell, Louise Chini, Philippe Ciais, Stefanie Falk, Ian Harris, George Hurtt, Akihiko Ito, Atul K. Jain, Matthew W. JonesFortunat Joos, Etsushi Kato, Daniel Kennedy, Kees Klein Goldewijk, Erik Kluzek, Jürgen Knauer, Peter J. Lawrence, Danica Lombardozzi, Joe R. Melton, Julia E.M.S. Nabel, Naiqing Pan, Philippe Peylin, Julia Pongratz, Benjamin Poulter, Thais M. Rosan, Qing Sun, Hanqin Tian, Anthony P. Walker, Ulrich Weber, Wenping Yuan, Xu Yue, Sönke Zaehle

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

The terrestrial biosphere plays a major role in the global carbon cycle, and there is a recognized need for regularly updated estimates of land-atmosphere exchange at regional and global scales. An international ensemble of Dynamic Global Vegetation Models (DGVMs), known as the “Trends and drivers of the regional scale terrestrial sources and sinks of carbon dioxide” (TRENDY) project, quantifies land biophysical exchange processes and biogeochemistry cycles in support of the annual Global Carbon Budget assessments and the REgional Carbon Cycle Assessment and Processes, phase 2 project. DGVMs use a common protocol and set of driving data sets. A set of factorial simulations allows attribution of spatio-temporal changes in land surface processes to three primary global change drivers: changes in atmospheric CO2, climate change and variability, and Land Use and Land Cover Changes (LULCC). Here, we describe the TRENDY project, benchmark DGVM performance using remote-sensing and other observational data, and present results for the contemporary period. Simulation results show a large global carbon sink in natural vegetation over 2012–2021, attributed to the CO2 fertilization effect (3.8 ± 0.8 PgC/yr) and climate (−0.58 ± 0.54 PgC/yr). Forests and semi-arid ecosystems contribute approximately equally to the mean and trend in the natural land sink, and semi-arid ecosystems continue to dominate interannual variability. The natural sink is offset by net emissions from LULCC (−1.6 ± 0.5 PgC/yr), with a net land sink of 1.7 ± 0.6 PgC/yr. Despite the largest gross fluxes being in the tropics, the largest net land-atmosphere exchange is simulated in the extratropical regions.

Original languageEnglish
Article numbere2024GB008102
JournalGlobal Biogeochemical Cycles
Volume38
Issue number7
DOIs
Publication statusPublished - Jul 2024

Bibliographical note

Publisher Copyright:
© 2024. The Author(s).

Funding

This work is part of the GCP-RECCAP2 project which is supported by the ESA Climate Change Initiative (contract no. 4000123002/18/I-NB), ESA Carbon-RO (4000140982/23/I-EF), European Union's Horizon 2020 research and innovation program under Grant Agreement No. 821003 (project 4C), the UK's Natural Environment Research Council (NE/S015833/1), and the CALIPSO (Carbon Losses in Plants, Soils and Oceans) project, funded through the generosity of Eric and Wendy Schmidt by recommendation of the Schmidt Futures program. H.T. acknowledges funding support from the U.S. National Science Foundation (Grant numbers: 1903722). JGC acknowledges funding from the Australian National Environmental Science Program - Climate Systems Hub. ORNL is managed by UT-Battelle, LLC, for the DOE under contract DE-AC05-1008 00OR22725. E.R. was supported by the Newton Fund through the Met Office Climate Science for Service Partnership Brazil (CSSP Brazil) and by the Met Office Hadley Centre Climate Programme funded by BEIS. For the purpose of open access, the author has applied a "Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising."

FundersFunder number
Newton Fund
Australian National Environmental Science Program
Oak Ridge National Laboratory
Met Office Hadley Centre Climate Programme
Department for Business, Energy and Industrial Strategy, UK Government
ESA Carbon‐RO
ESA Climate Change Initiative4000123002/18/I‐NB
National Science Foundation1903722
U.S. Department of EnergyDE‐AC05‐1008 00OR22725
ESA Carbon-RO4000140982/23/I-EF
Natural Environment Research CouncilNE/S015833/1
Horizon 2020821003

    Keywords

    • dynamic global vegetation models
    • global carbon budget
    • land carbon cycle
    • RECCAP2
    • TRENDY

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