Occupancy Estimation and Modeling

Inferring Patterns and Dynamics of Species Occurrence

Darryl I. Mac Kenzie, James D. Nichols, J. Andrew Royle, Kenneth Pollock, Larissa Bailey, James Hines

344 pages, parution le 15/12/2005

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Résumé

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.

L'auteur - James D. Nichols

James Nichols : U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, Maryland, U.S.A.

L'auteur - J. Andrew Royle

J. Royle : U.S.Geological Survey, Patuxent Wildlife Research Center, Laurel, MD USA

L'auteur - Kenneth Pollock

Kenneth Pollock : North Carolina State University, Department of Zoology, Raleigh, NC USA

L'auteur - Larissa Bailey

Larissa Bailey : US Geological Survey Patuxent Wildlife Research Center Laurel, Maryland USA

L'auteur - James Hines

James Hines : U.S.Geological Survey, Patuxent Wildlife Research Center, Laurel, MD USA

Sommaire

Introduction
Occupancy in Ecological Investigations
Fundamental Principles of Statistical Inference
Single-species, Single-season Occupancy Models
Single-species, Single-season Models with Heterogeneous Detection Probabilities
Design Issues for Single-species, Single-season Occupancy Models
Single-species, Multiple-seasons Occupancy Models
Examining the Local Species Pool
Interspecific Relationships Between Species
Extensions and Future Work

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Academic Press
Auteur(s)	Darryl I. Mac Kenzie, James D. Nichols, J. Andrew Royle, Kenneth Pollock, Larissa Bailey, James Hines
Parution	15/12/2005
Nb. de pages	344
Format	16 x 23,5
Couverture	Relié
Poids	670g
Intérieur	Noir et Blanc
EAN13	9780120887668
ISBN13	978-0-12-088766-8