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    Considerations of variability and power for long-term monitoring of stream fish assemblages

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    Author
    George, Scott D.
    Stich, Daniel S.
    Baldigo, Barry P.
    Date Published
    2021-02
    
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    URI
    http://hdl.handle.net/20.500.12648/8054
    Abstract
    Little attention has been given to optimizing statistical power for monitoring stream fish assemblages. We explored the relationship between temporal variability and statistical power using 34 metrics from fish community data collected annually at six sites over 10 years via electrofishing. Metric variability differed by the life stage and group of species considered, use of abundance or mass data, and data standardization technique. Lower variability was associated with community data, abundance data, and time-based standardizations, while greater variability was associated with young-of- the-year data, mass data, and area-based standardizations. Simulation-based power analysis indicated metric choice, and to a lesser degree, monitoring design (annual, biennial, endpoints, or haphazard sampling) influenced power to detect change. Across a fixed number of surveys (N = 60), endpoints sampling performed best. The N needed to detect change was heavily dependent upon metric choice for all monitoring designs, with the most biologically specific metrics requiring greater N. Large savings in effort and resource expenditure can be obtained utilizing biologically relevant metrics that are robust to temporal noise within an appropriate sampling design.
    Citation
    Scott D. George, Daniel S. Stich, and Barry P. Baldigo. Considerations of variability and power for long-term monitoring of stream fish assemblages. Canadian Journal of Fisheries and Aquatic Sciences. 78(3): 301-311. https://doi.org/10.1139/cjfas-2020-0013
    DOI
    dx.doi.org/10.1139/cjfas-2020-0013
    ae974a485f413a2113503eed53cd6c53
    dx.doi.org/10.1139/cjfas-2020-0013
    Scopus Count
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    School of Sciences - Scholarly and Creative Works
    SUNY Oneonta Scholarly and Creative Works

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