Generalized estimators of avian abundance from count survey data

Animal Biodiversity and Conservation



I consider modeling avian abundance from spatially referenced bird count data collected according to common protocols such as capture?recapture, multiple observer, removal sampling and simple point counts. Small sample sizes and large numbers of parameters have motivated many analyses that disregard the spatial indexing of the data, and thus do not provide an adequate treatment of spatial structure. I describe a general framework for modeling spatially replicated data that regards local abundance as a random process, motivated by the view that the set of spatially referenced local populations (at the sample locations) constitute a metapopulation. Under this view, attention can be focused on developing a model for the variation in local abundance independent of the sampling protocol being considered. The metapopulation model structure, when combined with the data generating model, define a simple hierarchical model that can be analyzed using conventional methods. The proposed modeling framework is completely general in the sense that broad classes of metapopulation models may be considered, site level covariates on detection and abundance may be considered, and estimates of abundance and related quantities may be obtained for sample locations, groups of locations, unsampled locations. Two brief examples are given, the first involving simple point counts, and the second based on temporary removal counts. Extension of these models to open systems is briefly discussed.
Publication type Article
Publication Subtype Journal Article
Title Generalized estimators of avian abundance from count survey data
Series title Animal Biodiversity and Conservation
Volume 27
Issue 1
Year Published 2004
Language English
Publisher Museu de Ciencies Naturals de Barcelona
Contributing office(s) Patuxent Wildlife Research Center
Description 12 p.
First page 375
Last page 386
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