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

Author:   B.B. Manly ,  L. McDonald ,  D.L. Thomas
Publisher:   Chapman and Hall
Edition:   1993 ed.
ISBN:  

9780412401404


Pages:   177
Publication Date:   31 December 1992
Format:   Hardback
Availability:   In Print   Availability explained
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Resource Selection by Animals: Statistical design and analysis for field studies


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Overview

The current literature on resource selection by animals is a maze of methodologies for data collection and interpretation. Field biologists are crying out for a guide through the labyrinth. This book aims to provide such a guide. It aims to give 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 a valuable handbook for the field biologist, especially those concerned with the management and conservation of wildlife. The authors have clearly identified the need to pull together the diffuse literature, and biologists should improve their experimental design, methodology and analysis with this book This book should be of interest to population biologists, ecologists, wildlife managers, conservation biologists, fisheries managers and biostatisticians.

Full Product Details

Author:   B.B. Manly ,  L. McDonald ,  D.L. Thomas
Publisher:   Chapman and Hall
Imprint:   Chapman and Hall
Edition:   1993 ed.
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   0.465kg
ISBN:  

9780412401404


ISBN 10:   0412401401
Pages:   177
Publication Date:   31 December 1992
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction to resource selection studies.- 1.1 Motivation and definitions.- 1.2 The data for resource selection studies.- 1.3 Sampling designs.- 1.4 Sampling protocols.- 1.5 Indices of selection.- 1.6 Hypothesis tests and confidence intervals.- 1.7 Discussion.- 2. Examples of the use of resource selection functions.- 2.1 Introduction.- 2.2 Examples.- 2.3 Sample designs.- 2.4 Assumptions.- 3. Statistical modelling procedures.- 3.1 Simple sample comparisons.- 3.2 Testing coefficients of individual X variables.- 3.3 Log-likelihood chi-squared tests.- 3.4 Analysis of residuals.- 3.5 Multiple tests and confidence intervals.- 4. Studies with resources defined by several categories.- 4.1 Introduction.- 4.2 Sampling designs and protocols.- 4.3 Ratios of random variables.- 4.4 Chi-squared tests.- 4.5 Design I with known proportions of available resource units.- 4.6 Tests on proportions of used units.- 4.7 Inferences concerning selection ratios.- 4.8 Comparison of selection ratios.- 4.9 Design I with estimated proportions of available resource units.- 4.10 Design II with sampling protocol A.- 4.11 Census of available resource units.- 4.12 Sample of available resource units.- 4.13 Design III with sampling protocol A.- 4.14 Census of available resource units.- 4.15 Sample of available resource units.- 4.16 Discussion.- 5. Estimating a resource selection probability function from a census of resource units using logistic regression.- 5.1 Introduction.- 5.2 Estimating the logistic function.- 5.3 Discussion.- 6. Estimating resource selection probability functions from a census of resource units at several points in time using the proportional hazards model.- 6.1 Introduction.- 6.2 Estimating the proportional hazards function.- 6.3 Discussion.- 7. Estimating a resource selection function from samples of resource units using proportional hazards and log-linear models.- 7.1 Introduction.- 7.2 Expected sample frequencies for resource units.- 7.3 The proportional hazards model.- 7.4 Small proportion of resource units used.- 7.5 Only samples of unused resource units available.- 7.6 Estimating parameters from sample data.- 7.7 Inferences with sample data.- 7.8 Recommendations.- 8. Estimating a resource selection function from two samples of resource units using logistic regression and discriminant function methods.- 8.1 Logistic regression.- 8.2 Linear discriminant function analysis.- 8.3 Quadratic discriminant function analysis.- 8.4 Discussion.- 9. General log-linear modelling.- 9.1 Introduction.- 9.2 Fitting models to data.- 10. Analysis of the amount of use.- 10.1 Introduction.- 10.2 Analysis of counts of the amount of use.- 10.3 Analysis of continuous measures of the amount of use.- 10.4 Mixtures of zeros and positive measures of the amount of use.- 11. The comparison of selection for different types of resource unit.- 11.1 Variances for estimates and their differences.- References.- Author index.

Reviews

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


'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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