Estimating Animal Abundance: Closed Populations

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Springer Science & Business Media, Mar 9, 2013 - Mathematics - 314 pages
We hope this book will make the bewildering variety of methods for estimat ing the abundance of animal populations more accessible to the uninitiated and more coherent to the cogniscenti. We have tried to emphasize the fun damental similarity of many methods and to draw out the common threads that underlie them. With the exception of Chapter 13, we restrict ourselves to closed populations (those that do not change in composition over the period(s) being considered). Open population methods are in many ways simply extensions of closed population methods, and we have tried to pro vide the reader with a foundation on which understanding of both closed and open population methods can develop. We would like to thank Miguel Bernal for providing the St Andrews example dataset used frequently in the book; Miguel Bernal and Jeff Laake for commenting on drafts of the book; Jeff Laake for providing Figure 10.1; NRC Research Press for allowing us to use Figures 10.2, 10.3, 10.4, 10.5, 10.6 and 10.7; the International Whaling Commission for allowing us to use Figure 12.1; Sharon Hedley for providing Figures 12.1 and 12.2. D.L.B. is eternally indebted to Carol, Alice and Aidan for their support through writing the book, and for the many evenings and weekends that it has taken from them.
 

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Contents

Introduction
3
Using likelihood for estimation
12
Building blocks 37
35
Plot sampling
55
Removal catcheffort and changeinratio
72
Simple markrecapture
104
Distance sampling
131
Nearest neighbour and pointtonearestobject
165
Dealing with heterogeneity
199
Integrated models
227
Dynamic and open population models
245
Which method? 269
267
A Notation and Glossary
278
B Statistical formulation for observation models
284
State models for markrecapture and removal methods
294
References
299

Further building blocks 177
175

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