Sullivan, MJP orcid.org/0000-0002-5955-0483, Lewis, SL, Affum-Baffoe, K et al. (223 more authors) (2020) Long-term thermal sensitivity of Earth’s tropical forests. Science, 368 (6493). pp. 869-874. ISSN 0036-8075
Abstract
The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (−9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth’s climate.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. This is the author’s version of the work. It is posted here by permission of the AAAS for personal use, not for redistribution. The definitive version was published in Science on vol. 368 22nd May 2020, DOI: https://doi.org/10.1126/science.aaw7578 |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds) The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Sustainable Transport Policy (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Ecology & Global Change (Leeds) The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > River Basin Processes & Management (Leeds) > SOG: water@leeds |
Funding Information: | Funder Grant number Gordon & Betty Moore Foundation Grant 5349 |
Depositing User: | Symplectic Publications |
Date Deposited: | 29 May 2020 10:13 |
Last Modified: | 29 May 2020 10:13 |
Status: | Published |
Publisher: | American Association for the Advancement of Science |
Identification Number: | 10.1126/science.aaw7578 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:161243 |