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Microbial community storm dynamics signal sources of “old” stream water

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Accurate prediction of water quality and quantity in a changing climate is hindered by an incomplete understanding of watershed processes,  and inferential approaches to identify pathways of water to streams remain limited. Here, we demonstrate how aquatic microbial communities may serve as novel hydrologic tracers associated with known source environments recorded in bioinformatics databases.  During a multiple-day storm event, as streamflow increased in volume, abundance of distinct taxonomies of microbes decreased (i.e., diluted), including groups commonly associated with freshwater. In contrast, groups that increased with streamflow (i.e., mobilized) included taxa that are associated with soil, suggesting a growing contribution of water from the hillslope. This study affirms that microbial communities provide novel information on streamflow sources and improve our understanding of hydrologic processes.

Impact/Purpose

Particularly in the context of global environmental change, a comprehensive understanding of watershed hydrology impacts accurate flood forecasts, management of stormflow and drinking water resources, and inferences about fate and transport of pollutants.  However, key questions about stream and river water quality and quantity remain unanswered due to limits in understanding of the dynamics of catchment water transport flowpaths and associated biogeochemical processes. In this study, we develop a straightforward framework to employ microbial genetic information to reveal the sources and pathways of stream event water and we demonstrate an application in a typical mid-order watershed in the western United States.  This framework for hydrologic analysis of microbial DNA offers unique insight on sources of streamflow not captured with other hydrologic tracers.

Citation

URycki, D., S. Good, B. Crump, N. Ceperley, AND J. Renee Brooks. Microbial community storm dynamics signal sources of “old” stream water. Public Library of Science, San Francisco, CA, 19(9):e0306896, (2024). [DOI: 10.1371/journal.pone.0306896]

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DOI: Microbial community storm dynamics signal sources of “old” stream water
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Last updated on October 11, 2024
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