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 veg...
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2025GL115242 |
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| author | Tingxiang Liu Lingxue Yu Zhuoran Yan Xuan Li Kun Bu Jiuchun Yang |
| author_facet | Tingxiang Liu Lingxue Yu Zhuoran Yan Xuan Li Kun Bu Jiuchun Yang |
| author_sort | Tingxiang Liu |
| collection | DOAJ |
| description | 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 m2 m−2), compared to semi‐humid (−0.46°C m2 m−2) and humid zones (−0.45°C m2 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. |
| format | Article |
| id | doaj-art-10bf5cbf7d1948b091656be7b01cecaa |
| institution | DOAJ |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-10bf5cbf7d1948b091656be7b01cecaa2025-08-20T03:21:32ZengWileyGeophysical Research Letters0094-82761944-80072025-05-01529n/an/a10.1029/2025GL115242Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid RegionsTingxiang Liu0Lingxue Yu1Zhuoran Yan2Xuan Li3Kun Bu4Jiuchun Yang5College of Geography Science Changchun Normal University Changchun ChinaState Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun ChinaState Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun ChinaState Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun ChinaState Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun ChinaState Key Laboratory of Black Soils Conservation and Utilization Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun ChinaAbstract 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 m2 m−2), compared to semi‐humid (−0.46°C m2 m−2) and humid zones (−0.45°C m2 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.https://doi.org/10.1029/2025GL115242land‐atmosphere couplingbiogeophysical feedbackwetlandclimate mitigationremote sensingWRF |
| spellingShingle | Tingxiang Liu Lingxue Yu Zhuoran Yan Xuan Li Kun Bu Jiuchun Yang Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions Geophysical Research Letters land‐atmosphere coupling biogeophysical feedback wetland climate mitigation remote sensing WRF |
| title | Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions |
| title_full | Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions |
| title_fullStr | Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions |
| title_full_unstemmed | Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions |
| title_short | Enhanced Climate Mitigation Feedbacks by Wetland Vegetation in Semi‐Arid Compared to Humid Regions |
| title_sort | enhanced climate mitigation feedbacks by wetland vegetation in semi arid compared to humid regions |
| topic | land‐atmosphere coupling biogeophysical feedback wetland climate mitigation remote sensing WRF |
| url | https://doi.org/10.1029/2025GL115242 |
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