Analysis and Management of Animal PopulationsBy
- Byron Williams
- James Nichols
- Michael Conroy
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.
Faculty, researchers, graduate students and advanced undergraduates in animal ecology, biometrics, quantitative ecology, conservation biology, fish and wildlife biology, wildlife policy, natural resource sciences, and land management.
Hardbound, 817 Pages
Published: April 2002
Imprint: Academic Press
"...certainly a 'must-have' for any Institute library in the relevant disciplines, and might usefully adorn the shelves of the more statistically literate researcher." -IBIS (2004) "...the book ecologists have long sought to help them find their way around in the huge and rather technical literature on population ecology. Students will find it a gold mine. ...Professional ecologists will find a solid reference book within which to look up things. And managers and conservation biologists will find a book in which they can learn what the theoretical platform for management of wildlife populations ought to be." -Nils Chr. Stenseth for SCIENCE (October 2002) "This book is as important for its conceptual framework as for its comprehensive review of modern methods of population analysis. Modelling and data analysis are too often viewed as separate from, even at odds with, each other. The authors demonstrate convincingly that this is not the case, by an integrated treatment of population models, the statistics that link them to data, and the decision analyses that make them useful in management." -Hal Caswell, Woods Hole Oceanographic Institution (January 2002) "This well-organized book thoroughly covers an excellent variety of important topics. It will be useful as a textbook in multiple undergraduate and graduate-level courses and it will be a key reference book for working wildlife professionals. The authors have successfully accomplished a challenging task: it integrates reviews of population dynamics theory, modern estimation methods, and how to make optimal management decisions in the real world." -Jay Rotella, Ecology Dept, Montana State University (January 2002) "This is a major synthesis of literature covering nearly all aspects of population analysis and management, including sampling, estimation, model choice, analysis, and optimal decision-making." -David R. Anderson, Colorado Cooperative Fish & Wildlife Research Unit (December 2001) "The three authors of this book are preeminent population analysts because of their ability to link innovative quantitative approaches to fundamental understanding of population ecology. They have written a book that will be 'one-stop-shopping' for teachers and students of population dynamics, modeling, and estimation." -William R. Clark, Dept of Animal Ecology, Iowa State University (December 2001) "This is an important book, and should be on the desk - as opposed to sitting on the shelf - of anyone claiming to be involved in research on the dynamics and management of wild populations. Buy it. Study it." -Evan Cooch, Dept of Natural Resources, Cornell University (December 2001) "This books provides an essential synthesis of material relevant to the analysis and management of animal populations. ...The authors effectively capture and marry concepts that are essential for sound analysis and management of animal populations." -Mark Lindberg, Dept of Biology and Wildlife, University of Alaska, Fairbanks (December 2001) "This book will be an essential addition to any population biologist's library. The integration of modelling, statistical estimation, and decision analysis to solve applied problems is very compelling." -Kenneth H. Pollock, North Carolina State University (December 2001)
- Preface.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 OptimizationReferences.Index.