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Resource Selection by Animals

Statistical design and analysis for field studies

  • Bryan F. J. Manly
  • Lyman L. McDonald
  • Dana L. Thomas

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 1-13
  3. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 14-31
  4. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 32-35
  5. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 36-69
  6. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 137-144
  7. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 145-157
  8. Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas
    Pages 158-163
  9. Back Matter
    Pages 165-177

About this book

Introduction

We have written this book as a guide to the design and analysis of field studies of resource selection, concentrating primarily on statistical aspects of the comparison of the use and availability of resources of different types. Our in­ tended audience is field ecologists in general and wildlife biologists in particular who are attempting to measure the extent to which real animal populations are selective in their choice of food and habitat. As such, we have made no attempt to address those aspects of theoretical ecology that are concerned with how animals might choose their resources if they acted in an optimal manner. The book is based on the concept of a resource selection function, where this is a function of characteristics measured on resource units such that its value for a unit is proportional to the probability of that unit being used. We argue that this concept leads to a unified theory for the analysis and interpretation of data on resource selection and can replace many ad hoc statistical methods that have been used in the past.

Keywords

Conservation Logistic Regression animals

Authors and affiliations

  • Bryan F. J. Manly
    • 1
  • Lyman L. McDonald
    • 2
  • Dana L. Thomas
    • 3
  1. 1.Department of Mathematics and StatisticsUniversity of OtagoNew Zealand
  2. 2.WEST Inc.USA
  3. 3.Department of Mathematical SciencesUniversity of AlaskaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-1558-2
  • Copyright Information Bryan F. J. Manly, Lyman L. McDonal and Dana L. Thomas 1993
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-4680-0
  • Online ISBN 978-94-011-1558-2
  • Buy this book on publisher's site