湖泊科学2025，Vol.37Issue(6)：1871-1882,12.DOI:10.18307/2025.0601
基于Meta分析的中国内陆水体沉积物产甲烷潜势驱动因子识别
Identification of potential driving factors for sediment methanogenesis in Chinese inland waters based on Meta-analysis
摘要
Abstract
Inland waters are an important natural source of methane to the atmosphere,a potent greenhouse gas.The potential of sediment methane production(PMP)under anaerobic conditions is a key indicator for the level of atmospheric emissions of meth-ane.However,there is a lack of cross-system studies on the sediment PMP in inland waters,the underlying driving mechanisms are still unclear.In this study,we collected data on PMP in inland waters in China including reservoirs,lakes,rivers and wet-lands.Combined with some unpublished data(a total of 210 data points),the temporal and spatial distribution of sediment PMP in several different systems was explored,and the drivers of the sediment PMP were identified.We found that PMP was seasonally variable,showing a trend of being significantly greater in the rainy season than in the dry season(about 3.5 times);damming caused a significant increase in PMP by more than ten times,and sediment PMP in reservoirs and lakes was significantly greater than that of rivers or wetlands.Correlation analysis showed that eutrophication caused by human activities had a significant driving effect on sediment PMP.Water temperature,water depth and sediment organic matter content had a significant positive stimulating effect on sediment PMP,while salinity had a significant inhibitory effect.In the context of global climate change,in order to make good future projections of carbon emissions from inland waters,human disturbances such as damming and eutrophication must be well incorporated,in addition to the natural process of global warming.关键词
内陆水体/厌氧产甲烷/温室气体/碳循环/富营养化Key words
Inland waters/anaerobic methane production/greenhouse gases/carbon cycling/eutrophication引用本文复制引用
汪万府,刘流,范雨春,刘少达,马健荣,黄丝傲,陈光杰..基于Meta分析的中国内陆水体沉积物产甲烷潜势驱动因子识别[J].湖泊科学,2025,37(6):1871-1882,12.基金项目
云南省科技厅基础研究计划面上项目(202401AT070132)、国家自然科学基金项目(42207089,42311530334)、云南省西南联合研究生院科技专项(202302AP370001)、云南省科技厅社会发展重大专项(202203AC100002)和云南省科技厅异龙湖高原浅水湖泊云南省野外科学观测研究站项目(202305AM070002)联合资助. （202401AT070132）
