中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia

文献类型:期刊论文

作者Wang, Ruixin1,2; Wang, Ping1,2; Xu, Li1,2; Liu, Shiqi1,2; Huang, Qiwei1,2
刊名REMOTE SENSING
出版日期2026-01-16
卷号18期号:2页码:308
关键词Arctic vegetation dynamics climate change permafrost degradation NDVI thermokarst lakes random forest northeastern Siberia
DOI10.3390/rs18020308
产权排序1
文献子类Article
英文摘要The response of Arctic vegetation to climate warming exhibits pronounced spatial heterogeneity, driven partly by widespread permafrost degradation. However, the role of thermokarst lake development in mediating vegetation-climate interactions remains poorly understood, particularly across heterogeneous landscapes of northeastern Siberia. This study integrated multi-source remote sensing data (2001-2021) with trend analysis, partial correlation, and a Shapley Additive Explanation (SHAP)-interpreted random forest model to examine the drivers of normalized difference vegetation index (NDVI) variability across five levels of thermokarst lake coverage (none, low, moderate, high, very high) and two vegetation types (forest, tundra). The results show that although greening dominates the region, browning is disproportionately observed in areas with high thermokarst lake coverage (>30%), highlighting the localized reversal of regional greening trends under intensified thermokarst activity. Air temperature was identified as the dominant driver of NDVI change, whereas soil temperature and soil moisture exerted secondary but critical influences, especially in tundra ecosystems with extensive thermokarst lake development. The relative importance of these factors shifted across thermokarst lake coverage gradients, underscoring the modulatory effect of thermokarst processes on vegetation-climate feedbacks. These findings emphasize the necessity of incorporating thermokarst dynamics and landscape heterogeneity into predictive models of Arctic vegetation change, with important implications for understanding cryospheric hydrology and ecosystem responses to ongoing climate warming.
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WOS关键词MACHINE LEARNING TECHNIQUES ; LAKE DRAINAGE EVENTS ; SOIL-MOISTURE ; RANDOM FORESTS ; ARCTIC TUNDRA ; DYNAMICS ; VARIABILITY ; SENSITIVITY ; ECOSYSTEMS ; VEGETATION
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001672749400001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/221036]  
专题陆地水循环及地表过程院重点实验室_外文论文
通讯作者Wang, Ping
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China;
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Wang, Ruixin,Wang, Ping,Xu, Li,et al. Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia[J]. REMOTE SENSING,2026,18(2):308.
APA Wang, Ruixin,Wang, Ping,Xu, Li,Liu, Shiqi,&Huang, Qiwei.(2026).Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia.REMOTE SENSING,18(2),308.
MLA Wang, Ruixin,et al."Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia".REMOTE SENSING 18.2(2026):308.

入库方式: OAI收割

来源:地理科学与资源研究所

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