A comparison of models using removal effort to estimate animal abundance

作者: Katherine St. Clair , Eric Dunton , John Giudice

DOI: 10.1080/02664763.2012.748016

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摘要: This paper compares methods for modeling the probability of removal when variable amounts effort are present. A hierarchical framework can produce estimates animal abundance and detection from replicated counts taken at different locations in a region interest. common method specifying variation probabilities across or replicates is with logistic model that incorporates relevant covariates. As an alternative to this model, we propose using catch–effort (CE) account heterogeneity measure available each count. models as nonlinear function parameter vary spatially. Simulation results demonstrate CE effectively estimate average rates large but both tend biase...

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