Estimating species occurrence, abundance, and detection probability using zero-inflated distributions
January 1, 2008
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.
Citation Information
Publication Year | 2008 |
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Title | Estimating species occurrence, abundance, and detection probability using zero-inflated distributions |
Authors | S.J. Wenger, Mary C. Freeman |
Publication Type | Article |
Publication Subtype | Journal Article |
Series Title | Ecology |
Index ID | 5224913 |
Record Source | USGS Publications Warehouse |
USGS Organization | Patuxent Wildlife Research Center |