Utah Black Bear Multi-Site Capture-Recapture 2004 - 2011

See Pederson et al. 2012 (https://doi.org/10.2192/URSUS-D-10-00029.1) for specific methods about sampling design, data collection, processing, and genetic analysis. Resulting capture histories and trap locations were formatted for input into the oSCR package in R: We formatted the individually identified black bear capture-recapture data from each site into multi-session (3 - 6 years) capture histories that retained spatial information on individual (i) detections at hair collection corrals (j = 16, 25) across sampling occasions (k = 4) such that yijk ~ Bernoulli(pij). The detection model component defines probability of detection of an individual at a particular trap (pij) as a function of distance from the individual’s activity center (si) to that trap having location xj. We used the half-normal model pij = p0 * exp(-dist(xj,si)2/2σ2) where p0 is the baseline encounter probability, x is the location of trap j, s is the activity center of individual i, and σ is the spatial scale parameter, sigma, determining the rate of decrease in detection probability in regards to the distance between xj and si. We have uploaded a ReadMe document that details each column in the provided trap data frame (tdf) and encounter data frame (edf) .csv files.