Land–Water Transport and Sources of Nitrogen Pollution Affecting the Structure and Function of Riverine Microbial Communities

生物地球化学循环 环境科学 污染 生物地球化学 营养污染 非点源污染 反硝化 硝酸盐 氮气循环 微生物种群生物学 环境化学 流出物 生态学 氮气 环境工程 生物 细菌 化学 遗传学 有机化学
作者
Zhen Zhu,Xin Li,Qiurong Bu,Qingcheng Yan,Liqun Wen,Xiaolei Chen,Xiaodong Li,Ming Yan,Longbo Jiang,Gaojie Chen,Shuai Li,Xiang Gao,Guangming Zeng,Jie Liang
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:57 (7): 2726-2738 被引量:14
标识
DOI:10.1021/acs.est.2c04705
摘要

The characterization of variations in riverine microbiota that stem from contaminant sources and transport modes is important for understanding biogeochemical processes. However, the association between complex anthropogenic nitrogen pollution and bacteria has not been extensively investigated owing to the difficulties faced while determining the distribution of nitrogen contaminants in watersheds. Here, we employed the Soil and Water Assessment Tool alongside microbiological analysis to explore microbial characteristics and their responses to complex nitrogen pollution patterns. Significant variations in microbial communities were observed in sub-basins with distinct land-water pollution transport modes. Point source-dominated areas (PSDAs) exhibited reduced microbial diversity, high number of denitrification groups, and increased nitrogen cycling compared with others. The negative relative deviations (-3.38) between the measured and simulated nitrate concentrations in PSDAs indicated that nitrate removal was more effective in PSDAs. Pollution sources were also closely associated with microbiota. Effluents from concentrated animal feeding operations were the primary factors relating to the microbiota compositions in PSDAs and balanced areas. In nonpoint source-dominated areas, contaminants from septic tanks become the most relevant sources to microbial community structures. Overall, this study expands our knowledge regarding microbial biogeochemistry in catchments and beyond by linking specific nitrogen pollution scenarios to microorganisms.
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