NDLI: Sample Size and Sensitivity in the Detection of Community Impact

Content Provider	IEEE Xplore Digital Library
Author	Caswell, H. Weinberg, J.
Copyright Year	1986
Description	Author affiliation: Woods Hole Oceanographic Institution, Woods Hole, MA, USA (Caswell, H.)
Abstract	Power is a measure of the sensitivity of a statistical test. Considerations of power are, or should be, a primary concern in designing monitoring programs. Increasing the number of samples increases power, but at an obvious increase in the cost of collecting and processing those samples. Here we consider the effects of community structure (specifically species diversity and density) on the power of simple two-sample tests to detect changes in several indices of community structure. Our results show that tests based on community-level diversity indices have higher power than those based on the abundance of single indicator species, especially if those species are rare. Different indices respond differently to changes in the overall species pool and the density of the community. Our approach could be used to derive quantitative estimates of sample size necessary to obtain given levels of power using only very coarse resolution biological data.
Starting Page	1040
Ending Page	1045
File Size	448668
Page Count	6
File Format	PDF
DOI	10.1109/OCEANS.1986.1160391
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1986-09-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Monitoring Power measurement Pollution measurement Sampling methods Probability Statistical analysis Sea measurements Costs Size measurement
Content Type	Text
Resource Type	Article

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