Assessing length-related bias and the need for data standardization in the development of standard weight equations

Steven H. Ranney, Mark J. Fincel, Melissa R. Wuellner, Justin A. Vandehey, Michael L. Brown

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

The recently developed empirical percentile (EmP) method, a technique for deriving standard weight (Ws) equations, putatively reduces the length-related biases that often plague such equations. To determine whether the EmP method is superior to the regression line-percentile (RLP) method in reducing length-related biases, we developed new Ws equations by applying both methods to two morphologically distinct species, walleye Sander vitreus and black crappie Pomoxis nigromaculatus. We also investigated diagnostic approaches to provide quality control for weight-length data. We evaluated the new Ws equations with filtered independent data to determine which equation reduced length bias the most. We suggest a protocol for evaluating length-related bias using an independent data set. Our results showed that for randomly selected walleye populations, the RLP method did not have any length-related biases when relative weight (Wr) was plotted as a function of length. However, the Wr values calculated from the EmP Ws equations were length biased when the latter were applied to those same populations. Both methods generated Ws equations that were length biased when Wr was plotted as a function of length for black crappies. Further, the absolute difference in Wr between the RLP and EmP methods indicates that there is little difference between the methods as far as their relevance to management is concerned. Based on these results, we believethat revising existing Ws equations using the EmP method is unnecessary and that the RLP technique should remain the standard for developing Ws equations pending the development of an approach that clearly eliminates methodological length bias.

Original languageEnglish (US)
Pages (from-to)655-664
Number of pages10
JournalNorth American Journal of Fisheries Management
Volume30
Issue number3
DOIs
StatePublished - Dec 1 2010

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standardization
methodology
need
method
Sander vitreus
plague
quality control

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science
  • Ecology
  • Management, Monitoring, Policy and Law

Cite this

Assessing length-related bias and the need for data standardization in the development of standard weight equations. / Ranney, Steven H.; Fincel, Mark J.; Wuellner, Melissa R.; Vandehey, Justin A.; Brown, Michael L.

In: North American Journal of Fisheries Management, Vol. 30, No. 3, 01.12.2010, p. 655-664.

Research output: Contribution to journalArticle

Ranney, Steven H. ; Fincel, Mark J. ; Wuellner, Melissa R. ; Vandehey, Justin A. ; Brown, Michael L. / Assessing length-related bias and the need for data standardization in the development of standard weight equations. In: North American Journal of Fisheries Management. 2010 ; Vol. 30, No. 3. pp. 655-664.
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