Harvest models of small populations of a large carnivore using Bayesian forecasting.

ABSTRACT: Harvesting large carnivores can be a management tool for meeting politically set goals for their desired abundance. However, harvesting carnivores creates its own set of conflicts in both society and among conservation professionals, where one consequence is a need to demonstrate that management is sustainable, evidence-based, and guided by science. Furthermore, because large carnivores often also have high degrees of legal protection, harvest quotas have to be carefully justified and constantly adjusted to avoid damaging their conservation status. We developed a Bayesian state-space model to support adaptive management of Eurasian lynx harvesting in Scandinavia. The model uses data from the annual monitoring of lynx abundance and results from long-term field research on lynx biology, whic

SUBMITTER: Andren H 

PROVIDER: S-EPMC7187313 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature