Natural forest regeneration is projected to reduce local temperatures

Forest regeneration is a crucial strategy for mitigating and adapting to global warming. Yet its precise impact on local climate remains uncertain, a factor that complicates decision-making when it comes to prioritizing investments. Here, we developed global maps illustrating how natural forest regeneration influences key local climate drivers—land surface temperature (LST), albedo, and evapotranspiration—using models fitted at a 1-km spatial resolution with a random forest classifier. We found that natural forest regeneration can alter annual mean LST by 0.01 °C, −0.59 °C, −0.50 °C, and −2.03 °C in Boreal, Mediterranean, Temperate, and Tropical regions, respectively. These variations underscore the region-specific effects of forest regeneration. Importantly, natural forest regeneration reduces LST across 64% of 1 billion hectares and 75% of 148 million hectares of potentially restorable land under different scenarios. These findings improve understanding of how forest regeneration can help regulate local climate, supporting climate adaptation efforts. Natural forest regeneration can enhance local climate adaptation by reducing land surface temperature. Natural forest regenerations reduce mean land surface temperature across potentially restorable areas in the Boreal, Mediterranean, Temperate, and Tropical regions according to an analysis that combines climate data, machine learning, and scenario analysis.

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Publication Details

Journal
Communications Earth & Environment
Published
2024-10-10
DOI
https://doi.org/10.1038/s43247-024-01737-5
Citations
18
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
5.09

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article

Natural forest regeneration is projected to reduce local temperatures

Janne Heiskanen, Eduardo Eiji Maeda, Édouard L. Davin, Sara Alibakhshi et al.
18 citations
Communications Earth & Environment
Plant Water Relations and Carbon Dynamics
5.09
article

Natural forest regeneration is projected to reduce local temperatures

Janne Heiskanen, Eduardo Eiji Maeda, Édouard L. Davin, Sara Alibakhshi, Petri Pellikka, Miguel B. Araújo, Thomas Ward Crowther, Susan C. Cook‐Patton, Daniel Heinlein
article en
18 citations

Abstract

Forest regeneration is a crucial strategy for mitigating and adapting to global warming. Yet its precise impact on local climate remains uncertain, a factor that complicates decision-making when it comes to prioritizing investments. Here, we developed global maps illustrating how natural forest regeneration influences key local climate drivers—land surface temperature (LST), albedo, and evapotranspiration—using models fitted at a 1-km spatial resolution with a random forest classifier. We found that natural forest regeneration can alter annual mean LST by 0.01 °C, −0.59 °C, −0.50 °C, and −2.03 °C in Boreal, Mediterranean, Temperate, and Tropical regions, respectively. These variations underscore the region-specific effects of forest regeneration. Importantly, natural forest regeneration reduces LST across 64% of 1 billion hectares and 75% of 148 million hectares of potentially restorable land under different scenarios. These findings improve understanding of how forest regeneration can help regulate local climate, supporting climate adaptation efforts. Natural forest regeneration can enhance local climate adaptation by reducing land surface temperature. Natural forest regenerations reduce mean land surface temperature across potentially restorable areas in the Boreal, Mediterranean, Temperate, and Tropical regions according to an analysis that combines climate data, machine learning, and scenario analysis.

Communications Earth & EnvironmentVol. 5(1)
University of Bern (CH), The Nature Conservancy (US), Finnish Meteorological Institute (FI), University of Nairobi (KE), Oeschger Centre for Climate Change Research (CH), University of Helsinki (FI), Okinawa Institute of Science and Technology Graduate University (JP), Arcada University of Applied Sciences (FI), University of Évora (PT), ETH Zurich (CH), Wuhan University (CN), Sustainability Institute (ZA), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN), Museo Nacional de Ciencias Naturales (ES), Swiss Academy of Sciences (CH)
National Aeronautics and Space Administration, Okinawa Institute of Science and Technology Graduate University
Openalex Percentile: Top 4%
Plant Water Relations and Carbon Dynamics
5.09
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