Occupancy Estimation and Modeling - Inferring Patterns and Dynamics of Species Occurrence
| Verlag | Academic Press |
| Auflage | 2017 |
| Format | 15,2 x 3,0 x 22,9 cm |
| Gewicht | 1040 g |
| Artikeltyp | Englisches Buch |
| EAN | 9780128146910 |
| Bestell-Nr | 12814691EA |
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. Importan t study design recommendations are also covered to give a well rounded view of modeling.
Inhaltsverzeichnis:
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
Rezension:
"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
