Estimating population persistence for at-risk species using citizen science data

Abstract (from ELSEVIER) Population persistence probability is valuable for characterizing risk to species and informing listing and conservation decisions but is challenging to estimate through traditional methods for rare, data-limited species. Modeling approaches have used citizen science data to mitigate data limitations of focal species and better estimate parameters such as occupancy and detection, but their use to estimate persistence and inform conservation decisions is limited. We developed an approach to estimate persistence using only occurrence records of the target species and citizen science occurrence data of non-target species to account for search effort and imperfect detection. We applied the...

Categories: Publication; Types: Citation; Tags: Bayesian inference, Conservation planning, Endangered species listing decisions, Extinction probability, Forests, All tags... Landscapes, Other Wildlife, Southeast CASC, Southeast CASC, Southern Hognose Snake, Species status assessment, Wildlife and Plants, Fewer tags