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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.
List of contents
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
Report
"MacKenzie et al, writes clearly and make sensible points that are illustrated with excellent case studies and figures..." --Erica Fleishman, Stanford University, Department of Biological Sciences, for Ecology
