2023 Early Hearing Detection & Intervention Conference

March 5-7, 2023 • Cincinnati, OH

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5/23/2018  |   9:45 AM - 10:00 AM   |  A COMPARISON OF ALGAE, INVERTEBRATE AND FISH MULTI-STRESSOR MODELS ACROSS MULTIPLE DISTURBANCE GRADIENTS   |  310 B

A COMPARISON OF ALGAE, INVERTEBRATE AND FISH MULTI-STRESSOR MODELS ACROSS MULTIPLE DISTURBANCE GRADIENTS

U.S. Geological Survey sampled 98 streams in the Midwest and 74 streams in the S.E. Piedmont of the U.S., across agricultural and urban disturbance gradients, respectively. Ecological condition was assessed in relation to multiple stressors including streamflow, habitat, nutrients, pesticides, and sediment-associated contaminants. Streams were sampled for algae, macroinvertebrates, and fish in the summer under base-flow conditions. The overall objective was to understand how aquatic assemblages respond to multiple stressors in these contrasting settings. Generally, physical habitat metrics were more important in the Midwest whereas contaminants were more important in the S.E. In the Midwest, 56% of the total environmental variables selected in all models across the three assemblage types were habitat based, whereas in the Southeast only 17% of the final variables were habitat based. On the other hand, DO, temperature, and flow alteration metrics were more important in Southeast and contaminant metrics made up 44% of the stressors in the Southeast models but only 12% of the stressors in the Midwest models. These differences reflect the widespread physical alteration of the Midwest by farming and suggest chemical and hydrologic alteration of streams by urbanization in the Southeast.

  • Modeling
  • Pollution
  • Urban

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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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Pete VanMetre (), U.S. Geological Survey, Austin, TX, pcvanmet@usgs.gov;


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Patrick Moran (), U.S. Geological Survey, pwmoran@usgs.gov;


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Lisa Nowell (), U.S. Geological Survey, lhnowell@usgs.gov;


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