Analysis and Management of Animal Populations - Byron K Williams

. .

Résumé :
Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations....

Biographie:
Byron Kenneth Williams is Chief of the Cooperative Research Units, U.S. Geological Survey, where he oversees a national program of research units at 39 universities in 37 states. Prior to his current position he was Executive Director of North American Waterfowl and Wetlands Office, U.S. Fish and Wildlife Service, where he served as the Co-chair of the North American Waterfowl Management Plan Committee, Coordinator of the North American Wetlands Conservation Council, and Administrator of the North American Wetlands Conservation Fund. Dr. Williams established the Vermont Cooperative Fish and Wildlife Research Unit at the University of Vermont, where he served for 6 years as the Unit Leader with a collateral faculty appointment as Associate Professor. Previous positions also include the Assistant Chief and Acting Chief of the Office of Migratory Bird Management, U.S. Fish and Wildlife Service, and several positions at the Patuxent Wildlife Research Center in Laurel, Maryland as a scientist and science manager. Dr. Williams received BS and MA degrees in mathematics from Oklahoma University, an MS degree in statistics from Colorado State University, and a Ph.D. from Colorado State University in range ecology. He is a member of the American Association for the Advancement of Science, Biometric Society, Ecological Society of America, and The Wildlife Society. He is widely published in areas as diverse as adaptive harvest management, biological modeling, multivariate statistics, vertebrate mapping, waterfowl management, scientific methodology, endangered species conservation, habitat conservation, population monitoring, and dynamic optimization in natural resource management....

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