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Published on: September 11, 2016
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Subsurface microbial communities as a tool for characterizing regional-scale groundwater flow.
Nancy Merino1, Tracie R Jackson2, James H Campbell3
1Physical and Life Sciences Directorate, Lawrence Livermore National Laboratory, Livermore, CA 94550, United States.
The Science of the Total Environment
|June 23, 2022
Summary
Subsurface microbial communities in Death Valley reveal groundwater flow paths. This study used microbial data to confirm hydraulic connections between recharge and discharge areas, aiding groundwater system characterization.
Area of Science:
- Environmental microbiology
- Hydrogeology
- Geochemistry
Background:
- Subsurface microbial communities are influenced by groundwater flow and geochemistry.
- Understanding these connections is crucial for characterizing groundwater systems.
Purpose of the Study:
- To examine the regional-scale microbial community of the Death Valley Regional Flow System (DVRFS).
- To evaluate the utility of subsurface microbial communities in identifying groundwater-flow paths between recharge and discharge areas.
Main Methods:
- Collected samples from 36 sites across three groundwater basins (PMOV, AM, AFFCR).
- Analyzed microbial diversity and community structure using network and null model analyses.
- Integrated microbial data with hydrologic, geologic, and water-chemistry information.
Main Results:
- Microbial communities separated into two main groups, correlating with groundwater basins (AM and PMOV/AFFCR).
- Network analysis corroborated known hydraulic connections between recharge and discharge areas.
- Null model analyses indicated deterministic and stochastic processes shape microbial assemblages, with dispersal limitation and geochemical differences being key factors.
Conclusions:
- Microbial community analysis supports established hydraulic connections within the DVRFS.
- This approach demonstrates the value of integrating microbial data with other hydrogeologic information for comprehensive groundwater system characterization.
- Limitations include potential well-associated artifacts affecting sample interpretation.

