EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/06/2017 | 3:30 PM - 3:45 PM | Understanding Urban Land Use Disturbance in Streams: A comparison of multiple biotic multi-stressor models. | 302C
Understanding Urban Land Use Disturbance in Streams: A comparison of multiple biotic multi-stressor models.
In 2014, the U.S. Geological Survey sampled 74 streams across 5 States in the S.E Piedmont of the U.S. Ecological condition of streams were assessed in relation to multiple stressors including streamflow, suspended sediment, nutrients, major ions, dissolved pesticides and degradates, and sediment-associated contaminants. Streams were sampled for algae, macroinvertebrates and fish in late spring under base-flow conditions. Our overall objective was to understand whether aquatic assemblages are responding to multiple stressors in comparable or differential ways and to identify a subset of important indicator stressors for each assemblage. Individual aquatic assemblage were related to multiple stressors using exploratory, statistical and machine learning data analysis techniques including data visualization, correlation and boosted regression modeling, respectively. A secondary objective was to tease out the variability associated with changes in aquatic assemblage condition based solely on land use relative to changes based on specific instream stressors such as habitat, nutrients and contaminants. Such evaluations are explored through model performance by stressor category, comparison of final explanatory variables and stressor assessment across the large urban gradient.
- C17 Bioassessment
- C27 Landuse and Non-Point source Impacts
- C17 Bioassessment
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Presenters/Authors
Ian Waite
(), U.S. Geological Survey, Portland, OR, iwaite@usgs.gov;
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Mark Munn
(), U.S. Geological Survey, Tacoma, WA, mdmunn@usgs.gov;
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Mike Meador
(), U.S. Geological Survey, mrmeador@usgs.gov;
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Daren Carlisle
(), U.S. Geological Survey, dcarlisle@usgs.gov;
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