Contrasting temporal dynamics of land surface temperature responses to different types of forest loss

Forest loss impacts local climate through biophysical processes. However, our understanding of this impact remains limited due to the neglect of its temporal dynamics. Using a space-and-time scheme that incorporates a change-detection method, we assess the dynamics of land surface temperature (LST) responses to various forest-loss types. Globally, LST increased by 0.12 K one year after forest loss, followed by a decreasing trend of -0.14 K per decade. Deforestation driven by commodity production and urbanization results in persistent warming, while forest disturbances such as shifting agriculture, forestry, and fire trigger diverse response dynamics with significant spatial variation due to differences in subsequent vegetation recovery. These disturbances cause attenuated warming in low and mid-latitudes, while, in the boreal zone, contrasting dynamics are observed: shifting agriculture causes attenuated cooling, whereas forestry and fire result in enhanced cooling. In addition to amplifying the amplitude of the LST seasonal cycle, forest loss also shifts the seasonal phase, which has not been previously reported. These findings demonstrate that climate feedback from forest loss is climate specific, loss-type dependent, and time varying, providing new insights for the development of local climate policies.

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Publication Details

Journal
The Innovation
Published
2025-03-12
DOI
https://doi.org/10.1016/j.xinn.2025.100875
Citations
9
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
11.71

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article

Contrasting temporal dynamics of land surface temperature responses to different types of forest loss

Wei Zhao, Nanshan You, Lei He, Chenghu Zhou et al.
9 citations
The Innovation
Tree-ring climate responses
11.71
article

Contrasting temporal dynamics of land surface temperature responses to different types of forest loss

Wei Zhao, Nanshan You, Lei He, Chenghu Zhou, Meng Liu, Enyu Zhao, Xiangyang Liu, Menglin Si, Si‐Bo Duan, Zhao-Liang Li, Ronglin Tang, Yitao Li, Zhenong Jin, Bo‐Hui Tang, Yuechen Li, Wenqi Liu, Hua Wu, Pei Leng
article en
9 citations

Abstract

Forest loss impacts local climate through biophysical processes. However, our understanding of this impact remains limited due to the neglect of its temporal dynamics. Using a space-and-time scheme that incorporates a change-detection method, we assess the dynamics of land surface temperature (LST) responses to various forest-loss types. Globally, LST increased by 0.12 K one year after forest loss, followed by a decreasing trend of -0.14 K per decade. Deforestation driven by commodity production and urbanization results in persistent warming, while forest disturbances such as shifting agriculture, forestry, and fire trigger diverse response dynamics with significant spatial variation due to differences in subsequent vegetation recovery. These disturbances cause attenuated warming in low and mid-latitudes, while, in the boreal zone, contrasting dynamics are observed: shifting agriculture causes attenuated cooling, whereas forestry and fire result in enhanced cooling. In addition to amplifying the amplitude of the LST seasonal cycle, forest loss also shifts the seasonal phase, which has not been previously reported. These findings demonstrate that climate feedback from forest loss is climate specific, loss-type dependent, and time varying, providing new insights for the development of local climate policies.

The InnovationVol. 6(6)
Kunming University of Science and Technology (CN), Oklahoma State University (US), University of Minnesota (US), University of Electronic Science and Technology of China (CN), Chinese Academy of Sciences (CN), Peking University (CN), Guangdong Academy of Sciences (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN), Institute of Agricultural Resources and Regional Planning (CN), Institute of Mountain Hazards and Environment (CN), Chinese Academy of Agricultural Sciences (CN), Guangzhou Institute of Geography (CN), Institute of Geographic Sciences and Natural Resources Research (CN), Dalian Maritime University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Climate action
Openalex Percentile: Top 1%
Tree-ring climate responses
11.71
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