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Quantifying Seining Detection Probability for Fishes of Great Plains Sand‐Bed Rivers

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Robert Mollenhauer, Daniel Logue, and Shannon K. Brewer (2018) Quantifying Seining Detection Probability for Fishes of Great Plains Sand‐Bed Rivers: Transactions of the American Fisheries Society, v. 147, iss. 2.

Summary

Abstract (from Wiley Online Library): Species detection error (i.e., imperfect and variable detection probability) is an essential consideration when investigators map distributions and interpret habitat associations. When fish detection error that is due to highly variable instream environments needs to be addressed, sand‐bed streams of the Great Plains represent a unique challenge. We quantified seining detection probability for diminutive Great Plains fishes across a range of sampling conditions in two sand‐bed rivers in Oklahoma. Imperfect detection resulted in underestimates of species occurrence using naïve estimates, particularly for less common fishes. Seining detection probability also varied among fishes and across sampling [...]

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  • National and Regional Climate Adaptation Science Centers
  • South Central CASC

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Water, Coasts and Ice
Science Tools For Managers
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citationTypeJournal Article
journalTransactions of the American Fisheries Society
parts
typedoi
value10.1002/tafs.10030
typevolume
value147
typeissue
value2
typestartPage
value329
typeendPage
value341
typeissn
value1548-8659

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