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 language | English |
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Article number | e2024GB008102 |
Journal | Global Biogeochemical Cycles |
Volume | 38 |
Issue number | 7 |
DOIs | |
Publication status | Published - 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."
Funders | Funder number |
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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 Initiative | 4000123002/18/I‐NB |
National Science Foundation | 1903722 |
U.S. Department of Energy | DE‐AC05‐1008 00OR22725 |
ESA Carbon-RO | 4000140982/23/I-EF |
Natural Environment Research Council | NE/S015833/1 |
Horizon 2020 | 821003 |
Keywords
- dynamic global vegetation models
- global carbon budget
- land carbon cycle
- RECCAP2
- TRENDY