Techniques for wildlife investigations : design and analysis of capture data /

Techniques for Wildlife Investigations emphasizes the design of field studies and the statistical inferences that can be made from observed changes in animal abundance and populations. The information presented here is of value not only for wildlife management but also for social and economic decisi...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Skalski, J. R.
Otros Autores: Robson, Douglas S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Academic Press, �1992.
Temas:
Animal populations > Statistical methods.
Wildlife research > Methodology.
Experimental design.
Wildlife management > Research > Methodology.
Animals, Wild
Population Surveillance
Research Design
Wildlife management.
Statistical analysis.
Data analysis.
Methodology.
Animaux > Populations > M�ethodes statistiques.
Faune > Am�enagement > Recherche > M�ethodologie.
Plan d'exp�erience.
Faune > Recherche > M�ethodologie.
Animaux sauvages.
NATURE > Animals > Wildlife.
SCIENCE > Life Sciences > Biological Diversity.
Animal populations > Statistical methods
Experimental design
Wildlife research > Methodology
Wildtiere
Forschungsmethode
Populationsdynamik
Statistik
Feldversuch
Animais (controle populacional)
Animaux > Populations > Gestion > Recherche > M�ethodologie.
Ecology > Research
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Techniques for Wildlife Investigations: Design and Analysis of Capture Data; Copyright Page; Table of Contents; List of Figures; List of Tables; Preface; Chapter 1. Statistical Inferences in Experimentation; Scope of This Book; Objectives of Population Investigations; Design Considerations in Population Studies; Analysis of Population Data; Chapter 2. Use of Preliminary Survey Data; Estimation of Variance Components; Effect of Design Decisions on the Magnitude of Error Variances; Estimation of Covariances and Correlations; Cost Functions; Recommendations
  • Chapter 3. Surveys of Animal AbundanceSurvey Models; Distributional Properties of Abundance Estimators; Statistical Analysis After Abundance Has Been Estimated; Specifying the Precision of Abundance Studies; Design of Field Studies; Design Optimization; Recommendations; Chapter 4. Comparative Censuses; Analysis of Comparative Census Data; Specifying the Performance of Comparative Censuses; Design of Field Studies; Design Optimization; Recommendations; Chapter 5. Manipulative Experiments; Current Approaches to Field Experiments; Considerations in Choice of Statistical Tests
  • Completely Randomized Two-Treatment Experimental DesignPaired Treatment Experimental Design; Open-Population Investigations; Recommendations; Chapter 6. Environmental Assessment Studies; An Impact Study Design; An Impact Assessment Design; An Accident Assessment Design; Design Recommendations; Appendix 1. General Variance Component Formula; Appendix 2. Noncentral F-Tables; Appendix 3. Additional Noncentral F-Tables; References; Index

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