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Occupancy Estimation and Modeling

Occupancy Estimation and Modeling

Darryl I. MacKenzie | James D. Nichols | J. Andrew Royle | Kenneth H. Pollock | Larissa Bailey | James E. Hines

(2005)

Additional Information

Abstract

Occupancy Estimation and Modeling 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.

  • 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
  • Explores the role of probability in estimating in detail

"MacKenzie et al. write clearly and make sensible points that are illustrated with excellent case studies and figures..."
- Erica Fleishman, Stanford University, Department of Biological Sciences, for ECOLOGY