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Modelling occurrence and abundance of species when detection is imperfect

January 1, 2005

Relationships between species abundance and occupancy are of considerable interest in metapopulation biology and in macroecology. Such relationships may be described concisely using probability models that characterize variation in abundance of a species. However, estimation of the parameters of these models in most ecological problems is impaired by imperfect detection. When organisms are detected imperfectly, observed counts are biased estimates of true abundance, and this induces bias in stated occupancy or occurrence probability. In this paper we consider a class of models that enable estimation of abundance/occupancy relationships from counts of organisms that result from surveys in which detection is imperfect. Under such models, parameter estimation and inference are based on conventional likelihood methods. We provide an application of these models to geographically extensive breeding bird survey data in which alternative models of abundance are considered that include factors that influence variation in abundance and detectability. Using these models, we produce estimates of abundance and occupancy maps that honor important sources of spatial variation in avian abundance and provide clearly interpretable characterizations of abundance and occupancy adjusted for imperfect detection.

Publication Year 2005
Title Modelling occurrence and abundance of species when detection is imperfect
DOI 10.1111/j.0030-1299.2005.13534.x
Authors J. Andrew Royle, James D. Nichols, Marc Kery
Publication Type Article
Publication Subtype Journal Article
Series Title Oikos
Index ID 5224438
Record Source USGS Publications Warehouse
USGS Organization Patuxent Wildlife Research Center