journal article Jan 16, 2019

Nonlocal Effects Dominate the Global Mean Surface Temperature Response to the Biogeophysical Effects of Deforestation

View at Publisher Save 10.1029/2018gl080211
Abstract
AbstractDeforestation influences surface temperature locally (“local effects”), but also at neighboring or remote regions (“nonlocal effects”). Observations indicate that local effects induce a warming in most locations, while many climate models show a global mean cooling when simulating global deforestation. We show that a nonlocal cooling in models, which is excluded from observations, may strongly contribute to these conflicting results. For the MPI‐ESM, the globally averaged nonlocal cooling exceeds the globally averaged local warming by a factor of three, for global deforestation but also for realistic areal extents and spatial distributions of deforestation. Furthermore, the globally averaged nonlocal effects dominate the local effects in realistic scenarios across a range of climate models. We conclude that observations alone are not sufficient to capture the full biogeophysical effects, and climate models are needed to better understand and quantify the full effects of deforestation before they are considered in strategies for climate mitigation.
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Cited By
116
Nature Communications
Metrics
116
Citations
58
References
Details
Published
Jan 16, 2019
Vol/Issue
46(2)
Pages
745-755
License
View
Funding
Emmy Noether Programm Award: PO1751
Cite This Article
Johannes Winckler, Quentin Lejeune, Christian H. Reick, et al. (2019). Nonlocal Effects Dominate the Global Mean Surface Temperature Response to the Biogeophysical Effects of Deforestation. Geophysical Research Letters, 46(2), 745-755. https://doi.org/10.1029/2018gl080211
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