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Use of Power Analysis in Developing Monitoring Protocols for the Endangered Kendall Warm Springs Dace
Author(s) -
Gryska Andrew D.,
Hubert Wayne A.,
Gerow Kenneth G.
Publication year - 1997
Publication title -
north american journal of fisheries management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 72
eISSN - 1548-8675
pISSN - 0275-5947
DOI - 10.1577/1548-8675(1997)017<1005:uopaid>2.3.co;2
Subject(s) - endangered species , environmental science , statistics , abundance (ecology) , fishery , ecology , mathematics , biology , habitat
We describe the application of power analysis to determine sample sizes for a monitoring program for the endangered Kendall Warm Springs dace Rhinichthys osculus thermalis . We used recommendations from the literature to select the level of significance (∝) at which the null hypothesis will be tested, the power (1 – β) of the statistical test, and detectable effects. Variable catch per unit effort (CPUE) and nonnormal frequency distributions can make monitoring of relative abundance difficult, but we found that a log 10 ‐transformation normalized CPUE distributions. Sample sizes needed to meet several criteria (∝ = 0.05, 0.10, 0.15, and 0.20; β = 0.10 and 0.20; detectable effect = 10, 20, 30, 40, and 50% change in mean CPUE or mean length) were calculated for Kendall Warm Springs dace based on trapping data in 1995. This is an example of how power analysis can be used to develop sampling protocols for monitoring the status of an endangered species.