Occupancy Estimation and Modeling - Edition 2 - By Darryl I. MacKenzie, James D. Nichols, J. Andrew Royle, Kenneth H. Pollock, Larissa Bailey and James E. Hines Elsevier Inspection Copies

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Occupancy Estimation and Modeling,

Edition 2 Inferring Patterns and Dynamics of Species Occurrence

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

Publication Date: 13 Nov 2017

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Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition, provides a synthesis of model-based approaches for analyzing presence-absence data, allowing for imperfect detection. Beginning from the relatively simple case of estimating the proportion of area or sampling units occupied at the time of surveying, the authors describe a wide variety of extensions that have been developed since the early 2000s. This provides an improved insight about species and community ecology, including, detection heterogeneity; correlated detections; spatial autocorrelation; multiple states or classes of occupancy; changes in occupancy over time; species co-occurrence; community-level modeling, and more.

Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence, Second Edition has been greatly expanded and detail is provided regarding the estimation methods and examples of their application are given. Important study design recommendations are also covered to give a well rounded view of modeling.

Key Features

Provides authoritative insights into the latest in occupancy modeling
Examines the latest methods in analyzing detection/no detection data surveys
Addresses critical issues of imperfect detectability and its effects on species occurrence estimation
Discusses important study design considerations such as defining sample units, sample size determination and optimal effort allocation

About the author

By Darryl I. MacKenzie, Proteus Research and Consulting, Dunedin, New Zealand; James D. Nichols, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA; J. Andrew Royle, Research Statistician, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA; Kenneth H. Pollock, North Carolina State University, Department of Zoology, Raleigh, NC, USA; Larissa Bailey, Colorado State University, USA and James E. Hines, U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, MD, USA

Part I: BACKGROUND AND CONCEPTS1. Introduction2. Occupancy Applications3. Fundamental Principals of Statistical Inference

Part II: SINGLE SPECIES, SINGLE SEASON OCCUPANCY MODELS4. Basic Presence/absence Situation5. Beyond Two Occupancy States6. Extensions to Basic Approaches7. Modeling Hetergeneous Detection Probabilities

Part III: SINGLE SPECIES, MULTIPLE SEASON OCCUPANCY MODELS8. Basic Presence/absence Situation9. More than Two Occupancy States10. Further Topics

Part IV: STUDY DESIGN11. Design of Single-season Occupancy Studies12. Multiple Season Study Design

Part V: ADVANCED TOPICS13. Integrated Modeling of Habitat and Occupancy Dynamics14. Species Co-occurrence15. Occupancy in Community-level Studies16. Final Comments

ISBN: 9780124071971

Page Count: 648

Retail Price : £78.95

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