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 <i>oSCR</i> 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 y_ijk ~ Bernoulli(p_ij). The detection model component defines probability of detection of an individual at a particular trap (p_ij) as a function of distance from the individual’s activity center (s_i) to that trap having location x_j. We used the half-normal model p_ij = p₀ * exp(-dist(x_j,s_i)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 x_j and s_i. We have uploaded a ReadMe document that details each column in the provided trap data frame (tdf) and encounter data frame (edf) .csv files.