EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/24/2021 | 2:00 PM - 3:30 PM | EXAMINING TEMPORAL VARIATION IN DIATOM RBCL AND BACTERIAL 16S SEQUENCES IN STREAMS TO INFORM NUTRIENT INDICATOR DEVELOPMENT | Virtual Platform
EXAMINING TEMPORAL VARIATION IN DIATOM RBCL AND BACTERIAL 16S SEQUENCES IN STREAMS TO INFORM NUTRIENT INDICATOR DEVELOPMENT
Interest in developing diatom and microbial indicators of nutrients continues to grow because their relationships with nutrient concentrations can help inform the assessment, conservation, and management of stream ecosystems. Here, we used metabarcoding of diatoms and bacteria to examine their potential use as nutrient indicators based on their relationships with total phosphorus (TP) and total nitrogen (TN) concentrations. From July to October, we sampled 25 sites in a watershed (1293 square kilometers) 12-14 times (typically weekly) to investigate how temporal variation in nutrients and biota affected interpretations of monitoring data. Regressions showed that diatom and bacterial assemblages were more strongly associated with summer mean TP or TN concentrations than with same week concentrations. Nutrients and assemblages were variable, but relationships remained strong for most weeks except for two high flow events temporarily weakening diatom- and bacteria-nutrient relationships. Assemblages recovered from these disturbances within two weeks. TN concentrations decreased over time along with high nitrogen diatom relative abundances, whereas low nitrogen diatom relative abundances increased. These results highlight the potential for using diatom and bacterial metabarcoding to develop indicators that can be used in monitoring programs.
- Biological effects
- Microbial ecology
- Land use
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Presenters/Authors
Nathan Smucker
(), U.S. Environmental Protection Agency, smucker.nathan@epa.gov;
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Erik Pilgrim
(), U.S Environmental Protection Agency, pilgrim.erik@epa.gov;
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Christopher Nietch
(), U.S. Environmental Protection Agency, nietch.christopher@epa.gov;
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Lester Yuan
(), U.S. Environmental Protection Agency, yuan.lester@epa.gov;
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John Darling
(), U.S Environmental Protection Agency, darling.john@epa.gov;
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Huiyun Wu
(), U.S. Environmental Protection Agency, wu.huiyun@epa.gov;
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Marirosa Molina
(), U.S. Environmental Protection Agency, molina.marirosa@epa.gov;
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John Martinson
(), U.S Environmental Protection Agency, martinson.john@epa.gov;
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Brent Johnson
(), U.S. Environmental Protection Agency, johnson.brent@epa.gov;
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