Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions

Abstract Wetlands are recognized for their climate mitigation potential through carbon storage and local cooling effects. Yet, the spatial variability of how wetland vegetation influences local climates via biogeophysical process remains poorly understood. Here, we examine the impacts of wetland vegetation changes on land surface temperature (LST) across the Amur River Basin using satellite data and model simulations. Our results reveal significant cooling effects associated with increased wetland vegetation, with the strongest cooling observed in semi‐arid areas (−1.12°C m 2 m −2 ), compared to semi‐humid (−0.46°C m 2 m −2 ) and humid zones (−0.45°C m 2 m −2 ). Decoupling biogeophysical pathways reveals that atmospheric feedback, aerodynamic resistance and surface resistance accounted for 44.4%, 41.5%, and 13.3%, respectively, of the diagnosed LST sensitivities to leaf area index in semi‐arid regions, whereas aerodynamic resistance and atmospheric feedback contributed 75.2% and 23.8%, respectively, in humid regions. Our findings suggest wetland vegetation restoration, particularly in semi‐arid regions, could provide substantial climate mitigation benefits through biogeophysical process.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-04-29
DOI
https://doi.org/10.1029/2025gl115242
Citations
27
Primary Topic
Peatlands and Wetlands Ecology
Type
article
Field-Weighted Citation Impact
46.34

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article

Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions

Xuan Li, Tingxiang Liu, Lingxue Yu, Jiuchun Yang et al.
27 citations
Geophysical Research Letters
Peatlands and Wetlands Ecology
46.34
article

Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions

Xuan Li, Tingxiang Liu, Lingxue Yu, Jiuchun Yang, Kun Bu, Zhuoran Yan
article en
27 citations

Abstract

Abstract Wetlands are recognized for their climate mitigation potential through carbon storage and local cooling effects. Yet, the spatial variability of how wetland vegetation influences local climates via biogeophysical process remains poorly understood. Here, we examine the impacts of wetland vegetation changes on land surface temperature (LST) across the Amur River Basin using satellite data and model simulations. Our results reveal significant cooling effects associated with increased wetland vegetation, with the strongest cooling observed in semi‐arid areas (−1.12°C m 2 m −2 ), compared to semi‐humid (−0.46°C m 2 m −2 ) and humid zones (−0.45°C m 2 m −2 ). Decoupling biogeophysical pathways reveals that atmospheric feedback, aerodynamic resistance and surface resistance accounted for 44.4%, 41.5%, and 13.3%, respectively, of the diagnosed LST sensitivities to leaf area index in semi‐arid regions, whereas aerodynamic resistance and atmospheric feedback contributed 75.2% and 23.8%, respectively, in humid regions. Our findings suggest wetland vegetation restoration, particularly in semi‐arid regions, could provide substantial climate mitigation benefits through biogeophysical process.

Geophysical Research LettersVol. 52(9)
Chinese Academy of Sciences (CN), Changchun Normal University (CN), Northeast Institute of Geography and Agroecology (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Youth Innovation Promotion Association, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences
Openalex Percentile: Top 0%
Peatlands and Wetlands Ecology
46.34
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