Occupancy Estimation and Modeling
Inferring Patterns and Dynamics of Species Occurrence

Cutting-edge information on improving ecological statistics and estimation

Darryl I. MacKenzie (Author), James D. Nichols (Author), J. Andrew Royle (Author), Kenneth H. Pollock (Author), Larissa Bailey (Author), James E. Hines (Author)

9780120887668, Elsevier Science

Hardback, published 30 November 2005

344 pages
22.9 x 15.1 x 2.4 cm, 0.68 kg

"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

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.

Ch. 1: Introduction
Ch. 2: Occupancy in Ecological Investigations
Ch. 3: Fundamental Principles of Statistical Inference
Ch. 4: Single-species, Single-season Occupancy Models
Ch. 5: Single-species, Single-season Models with Heterogeneous Detection Probabilities
Ch. 6: Design of Single-Season Occupancy Studies
Ch. 7: Single-species, Multiple-seasons Occupancy Models
Ch. 8: Occupancy Data for Multiple Species: Species Interactions
Ch. 9: Occupancy in Community Level Studies
Ch.10: Future Directions
References
Index

Subject Areas: Quantity surveying [TNCB1], Energy technology & engineering [TH], Human geography [RGC], Biology, life sciences [PS]