Estimating Animal Abundance Closed Populations [Hardcover]

The first accessible introduction to the many various wildlife assessment methods! This book uses a new approach that makes the full range of methods accessible in a way that has not previously been possible.
Accompanied by free, user-friendly software to get some hands-on experience with the methods and how they perform in different contexts.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.1 Introduction.- 2 Using likelihood for estimation.- 3 Building blocks.- 4 Plot sampling.- 5 Removal, catch-effort and change-in-ratio.- 6 Simple mark-recapture.- 7 Distance sampling.- 8 Nearest neighbour and point-to-nearest-object.- 9 Further building blocks.- 10 Spatial/temporal models with certain detection.- 11 Dealing with heterogeneity.- l£-