IDWSDS 2023 - S19: Statistical Models for Conservation Translocations

Описание: Collaborative work with: Katie Bickerton (University of Kent), Fay Frost (Lancaster University), Stefano Canessa (Bern University), John Ewen (ZSL)

Conservation translocations are being increasingly used in the conservation of threatened species and as part of ecological restoration programmes.). Robust estimates of abundance are essential for meaningful conservation decision-making and the impact of translocations on source populations needs to be understood. Within this talk I will present a new capture-recapture model for translocated populations and will then present
a modelling framework where capture-recapture is combined with removal/depletion methodology. I will demonstrate that an exact likelihood is possible when individual level information is available, and I will show how a standard integrated population modelling approach, which assumes independence between component data sets, can be adapted to provide an approximate likelihood when individual level data is not available. This approach, as well as providing a valuable tool for estimating the abundance of source populations post translocation, also motivates a new direction of research for overcoming issues of dependence of data within a standard integrated population modelling framework.