Extracting spatial networks from capture-recapture data reveals individual site fidelity patterns within a marine mammal's spatial range.

ABSTRACT: Estimating the impacts of anthropogenic disturbances requires an understanding of the habitat-use patterns of individuals within a population. This is especially the case when disturbances are localized within a population's spatial range, as variation in habitat use within a population can drastically alter the distribution of impacts.Here, we illustrate the potential for multilevel binomial models to generate spatial networks from capture-recapture data, a common data source used in wildlife studies to monitor population dynamics and habitat use. These spatial networks capture which regions of a population's spatial distribution share similar/dissimilar individual usage patterns, and can be especially useful for detecting structured habitat use within the population's spatial range.Using

SUBMITTER: Bonnell TR 

PROVIDER: S-EPMC8855333 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature