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| OCCUPANCY ESTIMATION AND MODELING
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Inferring Patterns and Dynamics of Species Occurrence
To order this title, and for more information, click here
By
Darryl MacKenzie, Proteus Research and Consulting, Dunedin, New Zealand
James Nichols, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, Maryland, U.S.A.
J. Royle, U.S.Geological Survey, Patuxent Wildlife Research Center, Laurel, MD USA
Kenneth Pollock, North Carolina State University, Department of Zoology, Raleigh, NC USA
Larissa Bailey, US Geological Survey Patuxent Wildlife Research Center Laurel, Maryland USA
James Hines, U.S.Geological Survey, Patuxent Wildlife Research Center, Laurel, MD USA
Description
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.
Audience
Ecologists, biologists, graduate students
Contents
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 Issues
for Single-species, Single-season Occupancy Models
Ch. 7: Single-species, Multiple-seasons Occupancy Models
Ch. 8: Examining the Local
Species Pool
Ch. 9: Interspecific Relationships Between Species
Ch.10: Extensions and Future Work
| Bibliographic details |
Hardbound, 344 pages, publication date: NOV-2005
ISBN-13: 978-0-12-088766-8
ISBN-10: 0-12-088766-5
Imprint: ACADEMIC PRESS
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| Price and Ordering |
Price:
EUR 67.95
GBP 51
USD 77.95
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090/767
Last update: 13 Jun 2009
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