2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
5/21/2018 | 11:30 AM - 11:45 AM | RELATIONS AMONG FISH AND INVERTEBRATE COMMUNITIES AND MODELED FLOW METRICS IN THE CAPE FEAR AND PEE DEE/YADKIN RIVER, NORTH CAROLINA, USA | 410 B
RELATIONS AMONG FISH AND INVERTEBRATE COMMUNITIES AND MODELED FLOW METRICS IN THE CAPE FEAR AND PEE DEE/YADKIN RIVER, NORTH CAROLINA, USA
Flow-ecology relations are being investigated at 394 sites in the Cape Fear and at 599 sites in the Pee Dee/Yadkin river basins in North and South Carolina as part of the USGS’s Water Smart program. State fish and invertebrate bioassessment data are being combined with modeled (SWAT) daily flow data as a means of projecting responses (flow and biological) to climate change and land use change. Flow metrics are calculated from modeled flows using the USGS’s EflowStats R-package these metrics encompassing flow magnitude, duration, timing, frequency, and rate of change. Modeling was conducted in two phases. First, the relations with invertebrate and fish metrics and life history traits to a reduced set of least redundant flow metrics were assessed with multiple modeling techniques, such as structural equation modeling, machine learning techniques and Bayesian belief networks. Then these relations were further assessed by applying multiple scenarios of future land use change and climate change. These assessments will assist in building decision support tools that help local water resource managers plan for future scenarios of water use and availability to attempt mitigate negative impacts on local aquatic flora and fauna.
- Bioassessment
- Hydrology
- Modeling
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Presenters/Authors
Jason May
(), U.S. Geological Survey, California Water Science Center, jasonmay@usgs.gov;
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Song Qian
(), The University of Toledo, song.qian@utoledo.edu;
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Jonathan Kennen
(), US Geological Survey, New Jersey Water Science Center, jgkennen@usgs.gov;
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Thomas Cuffney
(), U.S. Geological Survey, South Atlantic Water Science Center, 3916 Sunset Ridge Rd., Raleigh, NC 27607, tcuffney@usgs.gov;
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