EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/21/2018 | 11:45 AM - 12:00 PM | EFFECTS OF ANTECEDENT STREAMFLOW AND SAMPLE TIMING ON TREND ASSESSMENTS OF FISH, INVERTEBRATE, AND DIATOM COMMUNITIES | 410 B
EFFECTS OF ANTECEDENT STREAMFLOW AND SAMPLE TIMING ON TREND ASSESSMENTS OF FISH, INVERTEBRATE, AND DIATOM COMMUNITIES
Detecting changes in biological attributes is central to stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is mostly unexplored. We evaluated the influence of antecedent streamflow and sample timing on trend estimates for fish, invertebrate, and diatom taxa richness and condition from 2002 to 2012 at 51 sites. Pearson correlation analysis identified covariates strongly associated with biological endpoints. A combination of linear regression and Mann-Kendall tests were used to evaluate covariate influence on trend estimates. Meaningful correlations (|r| ? 0.60) varied by assemblage and endpoint at 47 sites. Adjusting for covariates changed trend estimates on average by 21%, most often reducing the estimated magnitude of the trend. Additionally, covariates influenced the interpretation of over 2/3 of trend estimates. Our findings clearly indicate that antecedent streamflow and sample timing influences trend estimates and subsequent interpretation. Accounting for covariates during trend analysis will enhance stream monitoring programs by providing a better understanding and interpretation of estimated changes in biological endpoints at monitored sites. Failure to account for covariates may lead to under or overestimating the likelihood of a trend estimate and/or misdiagnosing potential causes.
- Assessment
- Invertebrate
- Fish
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Presenters/Authors
Robert Zuellig
(), U.S. Geological Survey, rzuellig@usgs.gov ;
ASHA DISCLOSURE:
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Daren Carlisle
(), U.S. Geological Survey, dcarlisle@usgs.gov;
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