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Joint role of land cover types and microbial processing on molecular composition of dissolved organic matter in inland lakes

溶解有机碳 环境科学 分水岭 有机质 微生物种群生物学 土地覆盖 环境化学 营养物 作文(语言) 土地利用 生态学 水文学(农业) 化学 生物 地质学 细菌 机器学习 哲学 遗传学 语言学 岩土工程 计算机科学
作者
Zhicheng Hong,Hua Ma,Ting Zhang,Qianru Wang,Yilin Chang,Yingyue Song,Zhe Li,Fuyi Cui
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:857: 159522-159522 被引量:11
标识
DOI:10.1016/j.scitotenv.2022.159522
摘要

Anthropogenic activities have greatly changed the land use and land cover (LULC) and further influenced the chemical properties and amount of DOM transported into aquatic systems, meanwhile, microbial processing is also critical to DOM molecular composition in freshwaters. However, how they jointly shape DOM's chemical composition and chemodiversity in lakes is poorly understood. Here we examined DOM characteristics for seven inland lakes with three different land cover conditions (forest-dominated, cropland-dominated, and urban-dominated). Results indicated that DOM in cropland-dominated and forest-dominated lakes exhibited more characteristics of terrestrial organic matter, while urban-dominated lakes had more allochthonous organic matter driven by relatively high nutrient input. Human activities extended terrestrial DOM input to lakes and intensified the amount of heteroatomic organic molecules containing nitrogen and sulfur in lakes, with cropland contributing more N-containing compounds and urban contributing more S-containing compounds. Differential bacterial community composition appeared in the three types of land cover lakes, while strong co-occurrence/exclusion patterns between specific microbes and molecular formula groups revealed the key DOM metabolism functions of these bacteria. Matrix correlations based on Mantel tests confirmed that watershed landcover status was a dominating factor for DOM sources and molecular composition in mountainous lakes through direct input of terrestrial organic matter, and microbial processing was not the key factor for DOM molecular formula. Our findings help to assess the influence of human activities and microbial processing in the transfer and transformation of DOM in environmental waters.
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