Analysis and Management of Animal Populations: Modeling, Estimation and Decision Making

摘要: Preface. Part I: Framework for Modeling, Estimation, and Management of Animal Populations Introduction to Population Ecology. Scientific Process in Models the Investigation Populations. Estimation Hypothesis Testing Survey Sampling Parameters. Design Experiments II: Dynamic Modeling Principles Model Development Assessment. Traditional Dynamics. Identification with Time Series Data. Stochastic Processes Models. The Use Conservation Management. III: Methods Estimating Abundance Based on Counts. Distance-Based Methods. Closed Capture-Recapture Demographic Survival Rates Band Recoveries. Survival, Movement, Other State Transitions Mark-Recapture Recruitment Open Combining Models: Robust Design. Community IV: Decision Analysis Optimal Making Biology. Approaches Analysis. Modern Uncertainty, Learning, Case Study: Sport Harvest North American Waterfowl. Appendix A: Conditional Probability Bayes' Theorem. B: Matrix Algebra. C: Differential Equations. D: Difference E: Some Distributions Their Properties. F: Statistical Variation. G: Computer Software Estimation. H: Mathematics Optimization References. Index.