EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/25/2021 | 8:30 AM - 10:30 AM | LONG-TERM UNIVARIATE ANALYSIS OF MACROINVERTEBRATE ABUNDANCE IN SPATIALLY RELATED STREAMS FROM NORTHERN MICHIGAN | Virtual Platform
LONG-TERM UNIVARIATE ANALYSIS OF MACROINVERTEBRATE ABUNDANCE IN SPATIALLY RELATED STREAMS FROM NORTHERN MICHIGAN
Abiotic and biotic factors shape macroinvertebrate communities across aquatic landscapes but identifying influential drivers can be difficult. Factors that control ecosystem function may be identified following standardized sampling over extended time and space. Our objective is to use univariate statistical analyses and landscape level metrics to identify significant relationships between macroinvertebrate and water quality measures. Macroinvertebrate community composition, water chemistry, and habitat quality was measured in 26 stream sites in Marquette County, Michigan between 2007 and 2019. Sample sites were located within 2 watersheds ranging from pristine forests to newly constructed roads. Streams were grouped based on spatial self-similarity using GS+ software. Bray Curtis dissimilarity was calculated based on relative abundance of EPT taxa in stream communities across years and streams. We used partial least squares regression to help identify factors that influence relative abundance of EPT taxa in streams. We found that increases in DOC and conductivity were highly correlated with increasing Bray Curtis dissimilarity within similar streams. These parameters are likely influenced by anthropogenic activities and our data suggest that construction within these areas is negatively affecting sensitive macroinvertebrate taxa.
- Stream
- Contaminants
- Biogeochemistry
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Presenters/Authors
Brenna Friday
(), Wayne State University, bfriday@wayne.edu;
ASHA DISCLOSURE:
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Donna Kashian
(), Wayne State University, dkashian@wayne.edu;
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Nonfinancial -