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HERO ID
3329992
Reference Type
Journal Article
Title
Using variance components to estimate power in a hierarchically nested sampling design
Author(s)
Dzul, MC; Dixon, PM; Quist, MC; Dinsmore, SJ; Bower, MR; Wilson, KP; Gaines, DB
Year
2013
Is Peer Reviewed?
Yes
Journal
Environmental Monitoring and Assessment
ISSN:
0167-6369
EISSN:
1573-2959
Volume
185
Issue
1
Page Numbers
405-414
DOI
10.1007/s10661-012-2562-8
Web of Science Id
WOS:000312835300034
Abstract
We used variance components to assess allocation of sampling effort in a hierarchically nested sampling design for ongoing monitoring of early life history stages of the federally endangered Devils Hole pupfish (DHP) (Cyprinodon diabolis). Sampling design for larval DHP included surveys (5 days each spring 2007-2009), events, and plots. Each survey was comprised of three counting events, where DHP larvae on nine plots were counted plot by plot. Statistical analysis of larval abundance included three components: (1) evaluation of power from various sample size combinations, (2) comparison of power in fixed and random plot designs, and (3) assessment of yearly differences in the power of the survey. Results indicated that increasing the sample size at the lowest level of sampling represented the most realistic option to increase the survey's power, fixed plot designs had greater power than random plot designs, and the power of the larval survey varied by year. This study provides an example of how monitoring efforts may benefit from coupling variance components estimation with power analysis to assess sampling design.
Keywords
Devils hole; Power analysis; Nested sampling design; Variance components; Pupfish
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