Wildlife Demography

Wildlife Demography

Analysis of Sex, Age, and Count Data

1st Edition - September 29, 2005

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  • Authors: John Skalski, Kristin Ryding, Joshua Millspaugh
  • Hardcover ISBN: 9780120887736
  • eBook ISBN: 9780080455129

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Description

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

Readership

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

Product details

  • No. of pages: 656
  • Language: English
  • Copyright: © Academic Press 2005
  • Published: September 29, 2005
  • Imprint: Academic Press
  • Hardcover ISBN: 9780120887736
  • eBook ISBN: 9780080455129

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

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