Monitoring Animal Populations With Cameras Using Open, Multistate, N-Mixture Models.

ABSTRACT: Remote cameras have become a mainstream tool for studying wildlife populations. For species whose developmental stages or states are identifiable in photographs, there are opportunities for tracking population changes and estimating demographic rates. Recent developments in hierarchical models allow for the estimation of ecological states and rates over time for unmarked animals whose states are known. However, this powerful class of models has been underutilized because they are computationally intensive, and model outputs can be difficult to interpret. Here, we use simulation to show how camera data can be analyzed with multistate, Dail-Madsen (hereafter multistate DM) models to estimate abundance, survival, and recruitment. We evaluated four commonly encountered scenarios arising from c

SUBMITTER: Siren APK 

PROVIDER: S-EPMC11638134 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature