Resource Selection by Animals

1. Front Matter

   Pages i-xiii

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2. Introduction to resource selection studies

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 1-13

3. Examples of the use of resource selection functions

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 14-31

4. Statistical modelling procedures

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 32-35

5. Studies with resources defined by several categories

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 36-69

6. Estimating a resource selection probability function from a census of resource units using logistic regression

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 70-88

7. Estimating a resource selection probability function from a census of resource units at several points in time using the proportional hazards model

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 89-98

8. Estimating resource selection functions from samples of resource units using proportional hazards and log-linear models

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 99-124

9. Estimating a resource selection function from two samples of resource units using logistic regression and discriminant function methods

   • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

   Pages 125-136

10. General log-linear modelling

    • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

    Pages 137-144

11. Analysis of the amount of use

    • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

    Pages 145-157

12. The comparison of selection for different types of resource unit

    • Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas

    Pages 158-163

13. Back Matter

    Pages 165-177

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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.

• Conservation
• Logistic Regression
• animals

`Bryan Manly has more experience than most in guiding the unwary biologist through unchartered statistical territory...this book will prove enlightening to the mathematically-minded biologist...'
Biodiversity and Conservation
`The authors...consider with a lot of care various types of design allowing to assess to which degree a resource is selected, with reference to its availability... Classification is illustrated with a few detailed examples from the literature, for which data are given. These examples are followed throughout the book, which makes the reading easy and pleasant...This book certainly meets its subtitle by giving a thorough and comprehensive overview of 'statistical design and analysis for field studies' of resource selection.'
Acta Oecologia

• Department of Mathematics and Statistics, University of Otago, New Zealand

  Bryan F. J. Manly

• WEST Inc., USA

  Lyman L. McDonald

• Department of Mathematical Sciences, University of Alaska, USA

  Dana L. Thomas

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