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USGS · 5200296

Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence

Abstract

This is the first book to examine the latest methods in analyzing presence/absence data surveys. Using four classes of models (single-species, single-season; single-species, multiple season; multiple-species, single-season; and multiple-species, multiple-season), the authors discuss the practical sampling situation, present a likelihood-based model enabling direct estimation of the occupancy-related parameters while allowing for imperfect detectability, and make recommendations for designing studies using these models. It provides authoritative insights into the latest in estimation modeling; discusses multiple models which lay the groundwork for future study designs; addresses critical issues of imperfect detectibility and its effects on estimation; and explores the role of probability in estimating in detail.

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BibTeXRIS

D.I. MacKenzie, J.D. Nichols, J. Andrew Royle, K. H. Pollock, L.L. Bailey, J.E. Hines. 2006. Occupancy Estimation and Modeling : Inferring Patterns and Dynamics of Species Occurrence. https://pubs.usgs.gov/publication/5200296

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