Resource Selection by Animals: Statistical design and analysis for field studies / Edition 1

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This book gives a clear and consistent framework for the study of how animals select their resources (food and habitat) by taking the reader through different types of study design. It is an invaluable handbook for field biologists, especially those concerned with the management and conservation of wildlife.
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Editorial Reviews

Mathematicians provide field biologists a framework for collecting and interpreting data in studies of how animals select resources such as food and habitat. Explains the different types of study design, and the strategies, methodologies, and statistical techniques appropriate for each. Especially useful for wildlife biologists and ecologists. Annotation c. Book News, Inc., Portland, OR (
From the Publisher
'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
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Product Details

  • ISBN-13: 9780412401404
  • Publisher: Springer Netherlands
  • Publication date: 12/31/1992
  • Edition description: 1993
  • Edition number: 1
  • Pages: 192
  • Product dimensions: 6.38 (w) x 9.58 (h) x 0.66 (d)

Table of Contents

List of symbols
1 Introduction to resource selection studies 1
2 Examples of the use of resource selection functions 14
3 Statistical modelling procedures 32
4 Studies with resources defined by several categories 36
5 Estimating a resource selection probability function from a census of resource units using logistic regression 70
6 Estimating resource selection probability functions from a census of resource units at several points in time using the proportional hazards model 89
7 Estimating a resource selection function from samples of resource units using proportional hazards and log-linear models 99
8 Estimating a resource selection function from two samples of resource units using logistic regression and discriminant function methods 125
9 General log-linear modelling 137
10 Analysis of the amount of use 145
11 The comparison of selection for different types of resource unit 158
References 165
Author index 173
Subject index 176
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