Precision and bias of spatial capture-recapture estimates: A multi-site, multi-year Utah black bear case study.

ABSTRACT: Spatial capture-recapture (SCR) models are powerful analytical tools that have become the standard for estimating abundance and density of wild animal populations. When sampling populations to implement SCR, the number of unique individuals detected, total recaptures, and unique spatial relocations can be highly variable. These sample sizes influence the precision and accuracy of model parameter estimates. Testing the performance of SCR models with sparse empirical data sets typical of low-density, wide-ranging species can inform the threshold at which a more integrated modeling approach with additional data sources or additional years of monitoring may be required to achieve reliable, precise parameter estimates. Using a multi-site, multi-year Utah black bear (Ursus americanus) capture-re

SUBMITTER: Schmidt GM 

PROVIDER: S-EPMC9287071 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature