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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.

  • 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

1. Chapter 1: Introduction - p. xxiii 2. Chapter 2: Occupancy Applications - p. 26 3. Chapter 3: Fundamental Principals of Statistical Inference - p. 70 4. Part II: Single-Species, Single-Season Occupancy Models - p. 111 5. Chapter 4: Basic Presence/Absence Situation - p. 111 6. Chapter 5: Beyond Two Occupancy States - p. 215 7. Chapter 6: Extensions to Basic Approaches - p. 241 8. Chapter 7: Modeling Heterogeneous Detection Probabilities - p. 311 9. Part III: Single-Species, Multiple-Season Occupancy Models - p. 338 10. Chapter 8: Basic Presence/Absence Situation - p. 338 11. Chapter 9: More than Two Occupancy States - p. 375 12. Chapter 10: Further Topics - p. 397 13. Part IV: Study Design - p. 435 14. Chapter 11: Design of Single-Season Occupancy Studies - p. 435 15. Chapter 12: Multiple-Season Study Design - p. 476 16. Part V: Advanced Topics - p. 486 17. Chapter 13: Integrated Modeling of Habitat and Occupancy Dynamics - p. 486 18. Chapter 14: Species Co-Occurrence - p. 508 19. Chapter 15: Occupancy in Community-Level Studies - p. 556 20. Chapter 16: Final Comments - p. 583 21. Appendix - p. 589 22. Bibliography - p. 597 23. Index - p. 631

Descripcion
Descripción

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

1. Chapter 1: Introduction - p. xxiii 2. Chapter 2: Occupancy Applications - p. 26 3. Chapter 3: Fundamental Principals of Statistical Inference - p. 70 4. Part II: Single-Species, Single-Season Occupancy Models - p. 111 5. Chapter 4: Basic Presence/Absence Situation - p. 111 6. Chapter 5: Beyond Two Occupancy States - p. 215 7. Chapter 6: Extensions to Basic Approaches - p. 241 8. Chapter 7: Modeling Heterogeneous Detection Probabilities - p. 311 9. Part III: Single-Species, Multiple-Season Occupancy Models - p. 338 10. Chapter 8: Basic Presence/Absence Situation - p. 338 11. Chapter 9: More than Two Occupancy States - p. 375 12. Chapter 10: Further Topics - p. 397 13. Part IV: Study Design - p. 435 14. Chapter 11: Design of Single-Season Occupancy Studies - p. 435 15. Chapter 12: Multiple-Season Study Design - p. 476 16. Part V: Advanced Topics - p. 486 17. Chapter 13: Integrated Modeling of Habitat and Occupancy Dynamics - p. 486 18. Chapter 14: Species Co-Occurrence - p. 508 19. Chapter 15: Occupancy in Community-Level Studies - p. 556 20. Chapter 16: Final Comments - p. 583 21. Appendix - p. 589 22. Bibliography - p. 597 23. Index - p. 631

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