Techniques for wildlife investigations design and analysis of capture data /
This is both a practical handbook for experienced wildlife researchers and a textbook for graduate students in ecology and natural resource management programs. It presents methods for conducting experimental inference and mark-recapture statistical studies for fish and wildlife investigations. The...
| Main Author: | Skalski, J. R. |
|---|---|
| Other Authors: | Robson, Douglas S. |
| Format: | Book |
| Language: | English |
| Published: |
San Diego :
Academic Press,
©1992.
San Diego : [1992] |
| Physical Description: |
xv, 237 pages : illustrations ; 24 cm. |
| Subjects: | |
| Online Access: |
Table of contents Table of contents Table of contents Publisher description |
Table of Contents:
- Ch. 1. Statistical Inferences in Experimentation. Scope of This Book. Objectives of Population Investigations. Observational Studies. Manipulative Experiments. Environmental Impact and Assessment Studies. Design Considerations in Population Studies. Experimental Design Principles. Treatment Design Principles. Analysis of Population Data
- Ch. 2. Use of Preliminary Survey Data. Estimation of Variance Components. Effect of Design Decisions on the Magnitude of Error Variances. Influence of Trap Density. Influence of Animal Abundance. Influence of Plot Size. Influence of Plot Dispersal. Estimation of Covariances and Correlations. Cost Functions. Travel Costs. Fixed Expenses. Costs Dependent on Number of Study Plots. Costs Dependent on Trapping Effort. Form of Cost Function. Recommendations
- Ch. 3. Surveys of Animal Abundance. Survey Models. Lincoln Index. Darroch's Constant Probability Multiple-Mark-Recapture Model. Zippin's Constant Probability Removal Model. Distributional Properties of Abundance Estimators. Statistical Analysis after Abundance Has Been Estimated. Confidence Interval Estimation. Hypothesis Testing. Specifying the Precision of Abundance Studies. Design of Field Studies. Design Optimization. Recommendations
- Ch. 4. Comparative Censuses. Analysis of Comparative Census Data. Estimation of Proportional Abundance. Hypothesis Testing. Specifying the Performance of Comparative Censuses. Design of Field Studies. Lincoln Index. Darroch's Constant Probability Multiple-Mark-Recapture Model. Zippin's Constant Probability Removal Model. Design Optimization. Recommendations
- Ch. 5. Manipulative Experiments. Current Approaches to Field Experiments. Considerations in Choice of Statistical Tests. Completely Randomized Two-Treatment Experimental Design. Scenario. Test Statistics. Example Analyses. Posttest Analysis. Designing a Completely Randomized Experiment. Optimizing Randomized Designs. Paired Treatment Experimental Design. Scenario. Test Statistics. Example Analysis. Designing a Paired Experiment. Optimizing Paired Designs. Open-Population Investigations. Utilizing Closed-Population Conditions. Using Open-Population Models. Temporal Dimension of Wildlife Experiments. Recommendations
- Ch. 6. Environmental Assessment Studies. An Impact Study Design. Scenario. Test Statistics. Example Analysis. Designing an Odd's Ratio Study. Odd's Ratio Design in Manipulative Experiments. Cost of Not Randomizing Treatments. Design Optimization. An Impact Assessment Design. Scenario. Test Statistics. Example Analysis. Designing Control-Treatment Pair Studies. Design Optimization. An Accident Assessment Design. Scenario. Test Statistic. Example Analysis. Designing Accident Assessment Studies. Design Recommendations
- Appendix 1: General Variance Component Formula
- Appendix 2: Noncentral F-Tables
- Appendix 3: Additional Noncentral F-Tables.