ROOM: Rooms 16 – Acoma, 32 – Teseque and 15 – Zuni Combined
The past decade has seen an explosion of capture-recapture methods that make use of spatial information of individual encounters. These so-called spatial capture-recapture (SCR; also spatially-explicit capture-recapture, SECR) models resolve many important deficiencies with classical capture-recapture models and at the same time greatly extend the ecological relevance of capture-recapture for the study of the spatial ecology of animal populations. For example, SCR can be used to directly fit models of landscape connectivity from ordinary encounter history data. They can also be used to fit models of resource selection, movement, and other spatially explicit processes that affect populations. The workshop will be based on the book by Royle, Chandler, Sollmann and Gardner (2014) “Spatial Capture-Recapture” which is not provided. Topics that will be covered include fitting spatially equivalent versions of standard capture-recapture models (M0, Mb, Mt), fitting models of landscape connectivity and spatial variation in density, multi-session and sex-structured models using both Bayesian (in JAGS) and likelihood-based inference in the R package oSCR.
Organizers: J. Andrew Royle, USGS Patuxent Wildlife Research Center, Laurel, MD; Chris Sutherland, UMASS-Amherst, Amherst, MA; Richard B. Chandler, University of Georgia, GA
Supported by: TWS Biometrics Working Group