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Estimating species occurrence, abundance, and detection probability using zero-inflated distributions

Ecology

7009_Wenger.pdf
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Abstract

Researchers have developed methods to account for imperfect detection of species with either occupancy (presence-absence) or count data using replicated sampling. We show how these approaches can be combined to simultaneously estimate occurrence, abundance, and detection probability by specifying a zero-inflated distribution for abundance. This approach may be particularly appropriate when patterns of occurrence and abundance arise from distinct processes operating at differing spatial or temporal scales. We apply the model to two data sets: (1) previously published data for a species of duck, Anas platyrhynchos, and (2) data for a stream fish species, Etheostoma scotti. We show that in these cases, an incomplete-detection zero-inflated modeling approach yields a superior fit to the data than other models. We propose that zero-inflated abundance models accounting for incomplete detection be considered when replicate count data are available.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Estimating species occurrence, abundance, and detection probability using zero-inflated distributions
Series title:
Ecology
Volume
89
Issue:
10
Year Published:
2008
Language:
English
Contributing office(s):
Patuxent Wildlife Research Center
Description:
2953-2959
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Ecology
First page:
2953
Last page:
2959
Number of Pages:
7