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Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population.

Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis.

Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses.

  • Offers practical and accessible ecological applications of IPMs (integrated population models)
  • Provides full documentation of analyzed code in the Bayesian framework
  • Written and structured for an easy approach to the subject, especially for non-statisticians

1. Chapter 1. Introduction - p. 1 2. Part 1: Theory of Integrated Population Models - p. 8 3. Chapter 2. Bayesian Statistical Modeling Using JAGS - p. 11 4. Chapter 3. Introduction to Stage-Structured Population Models - p. 67 5. Chapter 4. Components of Integrated Population Models - p. 117 6. Abstract - p. 117 7. 4.1 Introduction - p. 118 8. 4.2 Overview of the Key Types of Data and Associated Models That Go Into an IPM - p. 120 9. 4.3 Models for Population Size Surveys - p. 124 10. 4.4 Models for Productivity Surveys - p. 149 11. 4.5 Models for Survival Surveys - p. 167 12. 4.6 Introduction to Spatial Capture-Recapture Modeling - p. 196 13. 4.7 Summary and Outlook - p. 209 14. 4.8 Exercises - p. 211 15. Chapter 5. Introduction to Integrated Population Models - p. 213 16. Chapter 6. Benefits of Integrated Population Modeling - p. 239 17. Chapter 7. Assessment of Integrated Population Models - p. 271 18. Chapter 8. Integrated Population Models With Density Dependence - p. 307 19. Chapter 9. Retrospective Population Analyses - p. 323 20. Chapter 10. Population Viability Analysis - p. 341 21. Part 2: Integrated Population Models in Practice - p. 367 22. Chapter 11. Woodchat Shrike - p. 371 23. Chapter 12. Peregrine Falcon - p. 389 24. Chapter 13. Horseshoe Bat - p. 409 25. Chapter 14. Hoopoe - p. 423 26. Chapter 15. Black Grouse - p. 435 27. Chapter 16. Barn Swallow - p. 449 28. Chapter 17. Elk - p. 465 29. Chapter 18. Cormorant - p. 483 30. Chapter 19. Gray Catbird - p. 499 31. Chapter 20. Kestrel - p. 513 32. Chapter 21. Black Bear - p. 539 33. Chapter 22. Conclusions - p. 555 34. References - p. 565 35. Author Index - p. 593 36. Subject Index - p. 609

Descripcion
Descripción

Integrated Population Models: Theory and Ecological Applications with R and JAGS is the first book on integrated population models, which constitute a powerful framework for combining multiple data sets from the population and the individual levels to estimate demographic parameters, and population size and trends. These models identify drivers of population dynamics and forecast the composition and trajectory of a population.

Written by two population ecologists with expertise on integrated population modeling, this book provides a comprehensive synthesis of the relevant theory of integrated population models with an extensive overview of practical applications, using Bayesian methods by means of case studies. The book contains fully-documented, complete code for fitting all models in the free software, R and JAGS. It also includes all required code for pre- and post-model-fitting analysis.

Integrated Population Models is an invaluable reference for researchers and practitioners involved in population analysis, and for graduate-level students in ecology, conservation biology, wildlife management, and related fields. The text is ideal for self-study and advanced graduate-level courses.

  • Offers practical and accessible ecological applications of IPMs (integrated population models)
  • Provides full documentation of analyzed code in the Bayesian framework
  • Written and structured for an easy approach to the subject, especially for non-statisticians

1. Chapter 1. Introduction - p. 1 2. Part 1: Theory of Integrated Population Models - p. 8 3. Chapter 2. Bayesian Statistical Modeling Using JAGS - p. 11 4. Chapter 3. Introduction to Stage-Structured Population Models - p. 67 5. Chapter 4. Components of Integrated Population Models - p. 117 6. Abstract - p. 117 7. 4.1 Introduction - p. 118 8. 4.2 Overview of the Key Types of Data and Associated Models That Go Into an IPM - p. 120 9. 4.3 Models for Population Size Surveys - p. 124 10. 4.4 Models for Productivity Surveys - p. 149 11. 4.5 Models for Survival Surveys - p. 167 12. 4.6 Introduction to Spatial Capture-Recapture Modeling - p. 196 13. 4.7 Summary and Outlook - p. 209 14. 4.8 Exercises - p. 211 15. Chapter 5. Introduction to Integrated Population Models - p. 213 16. Chapter 6. Benefits of Integrated Population Modeling - p. 239 17. Chapter 7. Assessment of Integrated Population Models - p. 271 18. Chapter 8. Integrated Population Models With Density Dependence - p. 307 19. Chapter 9. Retrospective Population Analyses - p. 323 20. Chapter 10. Population Viability Analysis - p. 341 21. Part 2: Integrated Population Models in Practice - p. 367 22. Chapter 11. Woodchat Shrike - p. 371 23. Chapter 12. Peregrine Falcon - p. 389 24. Chapter 13. Horseshoe Bat - p. 409 25. Chapter 14. Hoopoe - p. 423 26. Chapter 15. Black Grouse - p. 435 27. Chapter 16. Barn Swallow - p. 449 28. Chapter 17. Elk - p. 465 29. Chapter 18. Cormorant - p. 483 30. Chapter 19. Gray Catbird - p. 499 31. Chapter 20. Kestrel - p. 513 32. Chapter 21. Black Bear - p. 539 33. Chapter 22. Conclusions - p. 555 34. References - p. 565 35. Author Index - p. 593 36. Subject Index - p. 609

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