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ABSTRACT: Background
Improved understanding of wildlife population connectivity among protected area networks can support effective planning for the persistence of wildlife populations in the face of land use and climate change. Common approaches to estimating connectivity often rely on small samples of individuals without considering the spatial structure of populations, leading to limited understanding of how individual movement links to demography and population connectivity. Recently developed spatial capture-recapture (SCR) models provide a framework to formally connect inference about individual movement, connectivity, and population density, but few studies have applied this approach to empirical data to support connectivity planning.Methods
We used mark-recapture data collect
SUBMITTER: Carroll SL
PROVIDER: S-EPMC11334611 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature