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Resource Selection by Animals Statistical Design and Analysis for Field Studies

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ISBN-10: 1402006772

ISBN-13: 9781402006777

Edition: 2nd 2002 (Revised)

Authors: Bryan F. J. Manly, Lyman L. McDonald, Dana L. Thomas, Trent L. McDonald, Wallace P. Erickson

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The current literature on resource selection by animals is a maze of methodologies for data collection and interpretation. Field biologists need a guide through the labyrinth. This book provides such a guide. It 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 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 will greatly improve their experimental design, methodology, and analysis with this…    
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Book details

Edition: 2nd
Copyright year: 2002
Publisher: Springer
Publication date: 6/30/2002
Binding: Hardcover
Pages: 222
Size: 6.25" wide x 9.50" long x 0.50" tall
Weight: 1.144
Language: English

List of Symbols
Introduction to Resource Selection Studies
Motivation and Definitions
The Data for Resource Selection Studies
Sampling Protocols and Study Designs
Comparison of Designs
Indices of Selection
Hypothesis Tests and Confidence Intervals
Chapter Summary
Statistical Modelling Procedures
Simple Sample Comparisons
Linear Regression
Logistic Regression
Log-Linear Models
Proportional Hazards Models
Generalized Linear Models
Tests Used in Modelling
Model Selection Using AIC
Analysis of Residuals
Multiple tests and confidence intervals
Bootstrap Methods
Chapter Summary
Examples of the Use of Resource Selection Functions
Sample Designs
Chapter Summary
Studies with Resources Defined by Several Categories
Sampling Designs and Protocols
Choice of Estimators for Selection Ratios
Variance of a Ratio and the Difference of Ratios
Chi-Squared Tests
Design I with Known Proportions of Available Resource Units
Tests on Proportions of Used Units
Inferences Concerning Selection Ratios
Comparison of Selection Ratios
Design I with Estimated Proportions of Available Resource Units
Design II with Sampling Protocol A
Census of Available Resource Units
Sample of Available Resource Units
Design III with Sampling Protocol A
Census of Available Resource Units
Sample of Available Resource Units
Chapter Summary
Resource Selection Functions from Logistic Regression
Census Data
Use With a Random Sample of Resource Units
Separate Sampling
Separate Samples of Available and Used Units
Separate Samples of Available and Unused Units
Separate Samples of Used and Unused Units
Variances for Estimators and Their Differences
Chapter Summary
Resource Selection Over Several Time Periods
Census Data
Sample Data
Small Proportions of Used Resource Units Sampled
Samples of Unused Resource Units Only
Chapter Summary
Log-linear Modelling
General Log-linear Modelling of Count Data
Chapter Summary
Discrete Choice Models with Changing Availability
The Theory of Discrete Choice Models
Two Units Per Choice Set
Availability Sampled
Chapter Summary
Applications Using Geographic Information Systems
Defining Use and Availability
Variable and Model Selection
Mapping of Resource Selection Functions
Chapter Summary
Discriminant Function Analysis
Linear Discriminant Function Analysis
Samples of Available and Used Resource Units
Samples of Available and Unused Resource Units
Samples of Unused and Used Resource Units
Quadratic Discriminant Function Analysis
Chapter Summary
Analysis of the Amount of Use
Analysis of Counts of the Amount of Use
Analysis of Continuous Measures of the Amount of Use
Mixtures of Zeros and Positive Measures of the Amount of Use
Chapter Summary
Estimation of a Modified Log-Linear Model
Some Other Types of Analysis
Compositional Analysis
Mahalanobis Distance
Estimation Using Machine Learning Methods
Chapter Summary
Risk Assessment and Population Size Estimation
Risk Assessment
Estimating Population Size
Chapter Summary
General Considerations
Logistic Regression Example Code
Log-linear Model Example Code
Discrete Choice Model Example Code
Chapter Summary
Name Index
Subject Index