Use of Power Analysis in Developing Monitoring Protocols for the Endangered Kendall Warm Springs Dace
Autor: | Kenneth G. Gerow, Andrew D. Gryska, Wayne A. Hubert |
---|---|
Rok vydání: | 1997 |
Předmět: |
Ecology
Endangered species Sampling (statistics) Management Monitoring Policy and Law Aquatic Science Biology Catch per unit effort biology.organism_classification Monitoring program Sample size determination Statistics Rhinichthys Frequency distribution Ecology Evolution Behavior and Systematics Statistical hypothesis testing |
Zdroj: | North American Journal of Fisheries Management. 17:1005-1009 |
ISSN: | 1548-8675 0275-5947 |
DOI: | 10.1577/1548-8675(1997)017<1005:uopaid>2.3.co;2 |
Popis: | 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 log10-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. |
Databáze: | OpenAIRE |
Externí odkaz: |