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• W2013662666 abstract "The influence of sampling strategy on estimates of effective population size (N e ) from single-sample genetic methods has not been rigorously examined, though these methods are increasingly used. For headwater salmonids, spatially close kin association among age-0 individuals suggests that sampling strategy (number of individuals and location from which they are collected) will influence estimates of N e through family representation effects. We collected age-0 brook trout by completely sampling three headwater habitat patches, and used microsatellite data and empirically parameterized simulations to test the effects of different combinations of sample size (S = 25, 50, 75, 100, 150, or 200) and number of equally-spaced sample starting locations (SL = 1, 2, 3, 4, or random) on estimates of mean family size and effective number of breeders (N b ). Both S and SL had a strong influence on estimates of mean family size and $$ hat{N}_{b} , $$ however the strength of the effects varied among habitat patches that varied in family spatial distributions. The sampling strategy that resulted in an optimal balance between precise estimates of N b and sampling effort regardless of family structure occurred with S = 75 and SL = 3. This strategy limited bias by ensuring samples contained individuals from a high proportion of available families while providing a large enough sample size for precise estimates. Because this sampling effort performed well for populations that vary in family structure, it should provide a generally applicable approach for genetic monitoring of iteroparous headwater stream fishes that have overlapping generations." @default.
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• W2013662666 date "2012-01-24" @default.
• W2013662666 modified "2023-10-17" @default.
• W2013662666 title "Sampling strategies for estimating brook trout effective population size" @default.
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• W2013662666 doi "https://doi.org/10.1007/s10592-011-0313-y" @default.
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