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.

• 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

Dr. MacKenzie is biometrician for Proteus Wildlife Research Consultants in New Zealand. His main area of expertise is in using occupancy models for monitoring and research. He started working in this area while on a year long stint at Patuxent Wildlife Research Center with Drs William L. Kendall and James D. Nichols during 2000/01. He has acted as a statistical consultant to the Department of Conservation, Ministry of Fisheries and the U.S. Geological Survey. In 2002 Darryl was awarded a prestigious Fast-Start Marsden Grant from the Royal Society of New Zealand for research into optimal study designs for estimating the proportion of area occupied by a target species.

Part I: BACKGROUND AND CONCEPTS 1. Introduction 2. Occupancy Applications 3. Fundamental Principals of Statistical Inference

Part II: SINGLE SPECIES, SINGLE SEASON OCCUPANCY MODELS 4. Basic Presence/absence Situation 5. Beyond Two Occupancy States 6. Extensions to Basic Approaches 7. Modeling Hetergeneous Detection Probabilities

Part III: SINGLE SPECIES, MULTIPLE SEASON OCCUPANCY MODELS 8. Basic Presence/absence Situation 9. More than Two Occupancy States 10. Further Topics

Part IV: STUDY DESIGN 11. Design of Single-season Occupancy Studies 12. Multiple Season Study Design

Part V: ADVANCED TOPICS 13. Integrated Modeling of Habitat and Occupancy Dynamics 14. Species Co-occurrence 15. Occupancy in Community-level Studies 16. Final Comments