Capture-Recapture MethodologyBased in part on the article “Capture-recapture methods” by William R. Gould and Kenneth H. Pollock, which appeared in theEncyclopedia of Environmetrics.

摘要: Capture-recapture methods were initially developed to estimate human population abundance, but since that time have seen widespread use for fish and wildlife populations model various parameters of population, metapopulation, disease dynamics. Repeated sampling marked animals provides information estimating abundance tracking the fate individuals in face imperfect detection. Mark types evolved from clipping or tagging noninvasive such as photography natural markings DNA collection feces. Survival estimation has been emphasized more recently transition probabilities between life history states and/or geographical locations, even where some are unobservable uncertain. Sophisticated software handle highly parameterized models, including environmental individual covariates, conduct selection, employ approaches maximum likelihood Bayesian approaches. With these user-friendly tools, complex statistical models studying dynamics made available ecologists. The future will include a continuing trend toward integrating data types, both tagged untagged individuals, produce precise robust models. Keywords: abundance; closed population; detection; heterogeneity; marks; models; open population; robust; survival