10% off all books and free delivery over £40 - Last Express Posting Date for Christmas: 20th December
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Estimating Animal Abundance

View All Editions

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Estimating Animal Abundance Synopsis

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 and10.7; 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.

About This Edition

ISBN: 9781849968850
Publication date: 21st October 2010
Author: DL Borchers, Stephen T Buckland, Walter Zucchini
Publisher: Springer an imprint of Springer London
Format: Paperback
Pagination: 314 pages
Series: Statistics for Biology and Health
Genres: Applied mathematics
Ecological science, the Biosphere
Evolution
Computational biology / bioinformatics
Zoology and animal sciences
Probability and statistics