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Wildlife Demography - 1st Edition - ISBN: 9780120887736, 9780080455129

Wildlife Demography

1st Edition

Analysis of Sex, Age, and Count Data

Authors: John Skalski Kristin Ryding Joshua Millspaugh
Hardcover ISBN: 9780120887736
Paperback ISBN: 9781493300068
eBook ISBN: 9780080455129
Imprint: Academic Press
Published Date: 29th September 2005
Page Count: 656
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Wildlife Demography compiles the multitude of available estimation techniques based on sex and age data, and presents these varying techniques in one organized, unified volume. Designed to guide researchers to the most appropriate estimator based upon their particular data set and the desired level of study precision, this book provides quantitative consideration, statistical models, estimator variance, assumptions and examples of use.

The authors focus on estimation techniques using sex and age ratios because this data is relatively easy to collect and commonly used by wildlife management.

Key Features

  • Applicable to a wide array of wildlife species, including game and non-game birds and mammals
  • Features more than 100 annotated examples illustrating application of statistical methods
  • Includes more than 640 references of the analysis of nontagging data and the factors that may influence interpretation
  • Derives historical and ad hoc demographic methods in a modern statistical framework


Wildlife biologists, Environmental statisticians, Quantitative ecology students

Table of Contents

  • Foreword
  • Preface
  • Chapter 1: Introduction
    • 1.1 Historical Perspectives and Current Needs
    • 1.2 Scope of Book
  • Chapter 2: Primer on Wildlife Population Dynamics
    • 2.1 Introduction
    • 2.2 Continuous Time Models
    • 2.3 Discrete Time Models
    • 2.4 Logistic Population Growth
    • 2.5 Age Structure Models
    • 2.6 Stage Structure Models
    • 2.7 Harvest Management Theory
    • 2.8 Summary
  • Chapter 3: Estimating Population Sex Ratios
    • 3.1 Introduction
    • 3.2 Direct Sampling Techniques
    • 3.3 Indirect Methods of Estimating Sex Ratios
    • 3.4 Sex Ratio Projections Based on Survival and Harvest Rates
    • 3.5 Summary
  • Chapter 4: Estimating Productivity
    • 4.1 Introduction
    • 4.2 Direct Sampling Techniques
    • 4.3 Estimating Productivity from Sex and Age Ratios
    • 4.4 Summary
  • Chapter 5: Estimating Survival
    • 5.1 Introduction
    • 5.2 Basic Concepts and Notation
    • 5.3 Survival Curve Analysis
    • 5.4 Horizontal Life Tables
    • 5.5 Vertical Life Tables
    • 5.6 Depositional Life Tables
    • 5.7 Ix Series Data with Abbreviated or Pooled Age Classes
    • 5.8 cx-Series Data with Abbreviated or Pooled Age Classes
    • 5.9 Catch-Curve Analyses
    • 5.10 Regression Techniques
    • 5.11 Estimating Juvenile Survival
    • 5.12 Discussion
  • Chapter 6: Estimating Harvest and Harvest Mortality
    • 6.1 Introduction
    • 6.2 Analysis of Harvest Records
    • 6.3 Estimating Harvest by Area
    • 6.4 Direct Estimation of Harvest Mortality
    • 6.5 Estimating Harvest Mortality from Sex Ratios
    • 6.6 Change-in-Ratio Methods
    • 6.7 Index-Removal Method: Petrides (1949) and Eberhardt (1982)
    • 6.8 Catch-Effort Methods
    • 6.9 Proportion of Mortality Owing to Harvest (Gulland 1955)
    • 6.10 Summary
  • Chapter 7: Estimating the Rate of Population Change
    • 7.1 Introduction
    • 7.2 Basic Concepts and Definitions
    • 7.3 Two-Sample Methods for Estimating r and λ
    • Discussion of Utility
    • 7.4 Exponential-Growth Models
    • 7.5 Logistic-Growth Models
    • Discussion of Utility
    • 7.6 Growth Models with Removals
    • Discussion of Utility
    • 7.7 Productivity-Based Estimator of λ (Kelker 1947)
    • 7.8 Estimating λ Using the Lotka Equation (Cole 1954)
    • 7.9 Estimating λ from a Leslie Matrix (Bernardelli 1941, Leslie 1945, 1948)
    • Discussion of Utility
    • 7.10 Summary
  • Chapter 8: Analysis of Population Indices
    • 8.1 Introduction
    • 8.2 Description of Common Indices
    • 8.3 Design of Index Studies
    • 8.4 Calibration of Indices
    • 8.5 Analysis of Index Studies
    • 8.6 Summary
  • Chapter 9: Estimating Population Abundance
    • 9.1 Introduction
    • 9.2 Visual Surveys
    • 9.3 Line Transects
    • 9.4 Index-Removal Method (Petrides 1949, Eberhardt 1982)
    • 9.5 Change-in-Ratio Methods
    • 9.6 Catch-Effort Methods
    • 9.7 Life-History Models
    • 9.8 Age-Structured Population Reconstruction Methods
    • 9.9 Summary
  • Chapter 10: Integration of Analytical Techniques
    • 10.1 Introduction and Purpose
    • 10.2 Management for Desired Sex Ratios of Elk
    • 10.3 Combining Field Results with Leslie Matrix Projections
    • 10.4 Comparing and Combining Time- and Cohort-Specific Survival Data
    • 10.5 A Bighorn Sheep Life-History-Based Abundance Estimator
    • 10.6 Partitioning Harvest and Natural Mortality
    • 10.7 Ring-Necked Pheasant Multisurvey Study
  • Appendix A: Statistical Concepts and Theory
  • Appendix B: Glossary of Symbols
  • Appendix C: Program USER
  • Appendix D: Mathematica Code for Calculating the Variance of the Finite Rate of Population Change, Var, from a Matrix Population Model
  • References
  • Index


No. of pages:
© Academic Press 2005
29th September 2005
Academic Press
Hardcover ISBN:
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About the Authors

John Skalski

Affiliations and Expertise

University of Washington, Seattle, U.S.A.

Kristin Ryding

Affiliations and Expertise

University of Washington, Seattle, U.S.A.

Joshua Millspaugh

Affiliations and Expertise

University of Missouri, School of Natural Resources, Columbia, USA


"The author's exhaustive treatment of analytical techniques including listing assumptions, strengths and limitations, example calculations, and decision trees, makes this text an excellent reference for any advanced wildlife student or professional. It is an excellent compendium that replaces an entire file drawer of reprints I have accumulated over the past 25 years." --Robert A. Garrott, Montana State University, Bozeman

"Methodological progress in wildlife population ecology, like temporal change in taxonomic diversity, can be characterized as “punctuated equilibrium”, with long periods of stasis and slow growth punctuated by short periods of rapid development. Synthetic monographs and books have catalyzed these periods of rapid development, providing updated starting points upon which extensions and new models are based. Wildlife Demography will provide such a synthetic basis for methods based on sex and age ratio data and should lead to rapid progress in approaches that combine these and other data types for improved demographic inference." --James D. Nichols, Patuxent Wildlife Research Center, USGS

"This book provides a comprehensive introduction to techniques for estimating demographic parameters with sex, age and count data. It is unique in that it focuses solely on these approaches, using data that can often be obtained very cost-effectively and that are routinely collected by many wildlife agencies. Strengths of the book include careful lists of assumptions for each method with concrete examples to illustrate their application and a final chapter that demonstrates how multiple sources of data can be effectively combined using joint-likelihoods. This book will make an excellent textbook for students of wildlife demography and will serve as a useful reference for practicing wildlife biologists and managers." --Mark S. Udevitz, USGS Alaska Science Center, Anchorage

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