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1 September 2009 Subsampling Hair Samples Affects Accuracy and Precision of DNA-Based Population Estimates
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Abstract

Variance in population estimates is affected by the number of samples that are chosen to genotype when multiple samples are available during a sampling period. Using genetic data obtained from noninvasive hair-snags used to sample black bears (Ursus americanus) in the Northern Lower Peninsula of Michigan, USA, we developed a bootstrapping simulation to determine how precision of population estimates varied based on the number of samples genotyped. Improvements in precision of population estimates were not monotonic over all samples sizes available for genotyping. Estimates of cost, both financially and in terms of bias associated with increasing genotyping error and benefits in terms of greater estimate precision, will vary by species and field conditions and should be determined empirically.

BRIAN P. DREHER, GUILHERME J. M. ROSA, PAUL M. LUKACS, Kim T. Scribner, and SCOTT R. WINTERSTEIN "Subsampling Hair Samples Affects Accuracy and Precision of DNA-Based Population Estimates," Journal of Wildlife Management 73(7), (1 September 2009). https://doi.org/10.2193/2006-547
Published: 1 September 2009
JOURNAL ARTICLE
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