2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
5/25/2021 | 2:00 PM - 3:30 PM | PREDICTING FISH ASSEMBLAGES IN CALIFORNIA ESTUARIES, RUSSIAN RIVER ESTUARY RANDOM FOREST MODELING | Virtual Platform
PREDICTING FISH ASSEMBLAGES IN CALIFORNIA ESTUARIES, RUSSIAN RIVER ESTUARY RANDOM FOREST MODELING
Estuaries are critical habitat for many fish species in California, including salmon, steelhead, and tide water Gobi. This habitat is often managed by breaching sandbars, but the timing of when this is done is guided only by conventional wisdom. To understand how the fish assemblage changes in response to chemical and physical changes in the estuary caused by opening of sandbars, we modeled fish responses in the Russian River Estuary in Central California using random forest. Seven fish species were modeled and included the presence of the other fish species as predictor variables to understand species interactions. Models performance was evaluated by calculating the area under the curve (AUCs), which ranged from 0.65 to 0.89. These models can then be applied to predict the entire fish assemblage , providing mangers with data driven guidance on management actions and can be used to develop the Aquatic Species Assessment Tool (ASAT). The ASAT aims to capture the complexity of species-habitat interactions in a simple end-user interface that can be used to predict impacts of estuary management actions on multiple aquatic species and will eventually be applied to estuaries throughout California.
- Management
- Stream
- Species interactions
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Presenters/Authors
Michelle Tarian
(), Cal State University Monterey Bay, mtarian@csumb.edu;
ASHA DISCLOSURE:
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John Olson
(), Dept of Applied Environmental Science, California State University Monterey Bay, CA, USA, joolson@csumb.edu;
ASHA DISCLOSURE:
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Nonfinancial -