热岩溶
永久冻土
环境科学
高原(数学)
自然地理学
水槽(地理)
碳循环
甲烷
气候变化
全球变暖
地球科学
温室气体
水文学(农业)
大气科学
生态系统
地质学
生态学
海洋学
地理
数学分析
数学
生物
地图学
岩土工程
作者
Cuicui Mu,Pengsi Lei,Mei Mu,Chunling Zhang,Zhensong Zhou,Jinyue Song,Yunjie Jia,Chengyan Fan,Xiaoqing Peng,Guofei Zhang,Yuanhe Yang,Lei Wang,Dongfeng Li,Chunlin Song,Genxu Wang,Zhen Zhang
标识
DOI:10.1038/s41467-025-57745-2
摘要
Abstract Thermokarst lakes, serving as significant sources of methane (CH 4 ), play a crucial role in affecting the feedback of permafrost carbon cycle to global warming. However, accurately assessing CH 4 emissions from these lakes remains challenging due to limited observations during lake ice melting periods. In this study, by integrating field surveys with machine learning modeling, we offer a comprehensive assessment of present and future CH 4 emissions from thermokarst lakes on the Tibetan Plateau. Our results reveal that the previously underestimated CH 4 release from lake ice bubble and water storage during ice melting periods is 11.2 ± 1.6 Gg C of CH 4 , accounting for 17 ± 4% of the annual total release from lakes. Despite thermokarst lakes cover only 0.2% of the permafrost area, they annually emit 65.5 ± 10.0 Gg C of CH 4 , which offsets 6.4% of the net carbon sink in alpine grasslands on the plateau. Considering the loss of lake ice, the expansion of thermokarst lakes is projected to lead to 1.1–1.2 folds increase in CH 4 emissions by 2100. Our study allows foreseeing future CH 4 emissions from the rapid expanding thermokarst lakes and sheds new lights on processes controlling the carbon-climate feedback in alpine permafrost ecosystems.
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