TY - JOUR
T1 - Trends and drivers of terrestrial sources and sinks of carbon dioxide: An overview of the TRENDY Project
AU - Sitch, Stephen
AU - O’Sullivan, Michael
AU - Robertson, Eddy
AU - Friedlingstein, Pierre
AU - Albergel, Clément
AU - Anthoni, Peter
AU - Arneth, Almut
AU - Arora, Vivek K.
AU - Bastos, Ana
AU - Bastrikov, Vladislav
AU - Bellouin, Nicolas
AU - Canadell, Josep G.
AU - Chini, Louise
AU - Ciais, Philippe
AU - Falk, Stefanie
AU - Harris, Ian
AU - Hurtt, George
AU - Ito, Akihiko
AU - Jain, Atul K.
AU - Jones, Matthew W.
AU - Joos, Fortunat
AU - Kato, Etsushi
AU - Kennedy, Daniel
AU - Klein Goldewijk, Kees
AU - Kluzek, Erik
AU - Knauer, Jürgen
AU - Lawrence, Peter J.
AU - Lombardozzi, Danica
AU - Melton, Joe R.
AU - Nabel, Julia E. M. S.
AU - Pan, Naiqing
AU - Peylin, Philippe
AU - Pongratz, Julia
AU - Poulter, Benjamin
AU - Rosan, Thais M.
AU - Sun, Qing
AU - Tian, Hanqin
AU - Walker, Anthony P.
AU - Weber, Ulrich
AU - Yuan, Wenping
AU - Yue, Xu
AU - Zaehle, Sönke
N1 - Data Availability Statement: All TRENDY-v11 data are freely available from the following website: https://globalcarbonbudgetdata.org/.
Funding Information: 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.
Rights Retention Statement: For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising.
PY - 2024/7
Y1 - 2024/7
N2 - 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.
AB - 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.
KW - dynamic global vegetation models
KW - global carbon budget
KW - land carbon cycle
KW - RECCAP2
KW - TRENDY
UR - http://www.scopus.com/inward/record.url?scp=85199110360&partnerID=8YFLogxK
U2 - 10.1029/2024GB008102
DO - 10.1029/2024GB008102
M3 - Article
AN - SCOPUS:85199110360
VL - 38
JO - Global Biogeochemical Cycles
JF - Global Biogeochemical Cycles
SN - 0886-6236
IS - 7
M1 - e2024GB008102
ER -