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dc.contributor.authorGeorge, Scott D.
dc.contributor.authorStich, Daniel S.
dc.contributor.authorBaldigo, Barry P.
dc.date.accessioned2023-01-03T21:30:53Z
dc.date.available2023-01-03T21:30:53Z
dc.date.issued2021-02
dc.identifier.citationScott 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-2020-0013en_US
dc.identifier.doidx.doi.org/10.1139/cjfas-2020-0013
dc.identifier.urihttp://hdl.handle.net/20.500.12648/8054
dc.description.abstractLittle 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.en_US
dc.language.isoen_USen_US
dc.publisherCanadian Science Publishingen_US
dc.titleConsiderations of variability and power for long-term monitoring of stream fish assemblagesen_US
dc.typeArticle/Reviewen_US
dc.description.versionVoRen_US
refterms.dateFOA2023-01-03T21:30:54Z
dc.description.institutionSUNY Oneontaen_US
dc.description.departmentBiologyen_US
dc.description.degreelevelN/Aen_US
dc.accessibility.statementElectronic Accessibility Statement: SUNY Oneonta is committed to providing equal access to college information by ensuring our digital content is accessible by everyone regardless of physical, sensory, or cognitive ability. This item has been checked by Adobe Acrobat Accessibility Check and remediated with the following result: [Remediation: title, language, autotagged and hand tagged // Hazards: tagged annotations, character encoding, alt text, table headers]. To request further accessibility remediation on this SOAR repository item for your specific needs, please contact openaccess@oneonta.edu.en_US


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