Hierarchical Spatial Capture–Recapture Models for Estimating Density from Trapping Arrays

摘要: Much of the theory and methodology underlying inference about population size is concerned with populations that are well-defined in sense one can randomly sample individuals associated some location or area and, usually, uniquely identify them. However, within spatially organized; they have home ranges territories, “place,” which live move about. The juxtaposition this place a trap array traps has important implications for sampling design, modeling, estimation interpretation data result from trapping data. In particular, induces two general problems. First, most populations, spatial over exist (and exposed to capture) cannot be precisely delineated, movement onto off putative unit results form non-closure, direct effect on our ability interpret estimates size, N, closed models. second problem heterogeneity capture probability as variable exposure capture. Certain individuals, e.g., those territories edge array, might experience little capture, perhaps only coming into contact traps. Conversely, whose located squarely center come many As such, these should higher probabilities than former type.