Capture-recapture : parameter estimation for open animal populations /

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Bibliographic Details
Author / Creator:	Seber, G. A. F. (George Arthur Frederick), 1938- author.
Imprint:	Cham, Switzerland : Springer, [2019]
Description:	1 online resource (xix, 663 pages) : illustrations
Language:	English
Series:	Statistics for biology and health, 2197-5671 Statistics for biology and health.
Subject:	Animal populations -- Estimates. Animal populations -- Mathematical models. Animal marking. Animal marking. Animal populations -- Estimates. Animal populations -- Mathematical models.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11938399

Hidden Bibliographic Details
Other authors / contributors:	Schofield, Matthew R., author.
ISBN:	9783030181871 3030181871 9783030181888 303018188X 9783030181895 3030181898 3030181863 9783030181864
Digital file characteristics:	text file PDF
Notes:	Includes bibliographical references. Print version record.
Summary:	This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also addressing associated computational methods. The state of our wildlife populations provides a litmus test for the state of our environment, especially in light of global warming and the increasing pollution of our land, seas, and air. In addition to monitoring our food resources such as fisheries, we need to protect endangered species from the effects of human activities (e.g. rhinos, whales, or encroachments on the habitat of orangutans). Pests must be be controlled, whether insects or viruses, and we need to cope with growing feral populations such as opossums, rabbits, and pigs. Accordingly, we need to obtain information about a given population's dynamics, concerning e.g. mortality, birth, growth, breeding, sex, and migration, and determine whether the respective population is increasing , static, or declining. There are many methods for obtaining population information, but the most useful (and most work-intensive) is generically known as "capture-recapture," where we mark or tag a representative sample of individuals from the population and follow that sample over time using recaptures, resightings, or dead recoveries. Marks can be natural, such as stripes, fin profiles, and even DNA; or artificial, such as spots on insects. Attached tags can, for example, be simple bands or streamers, or more sophisticated variants such as radio and sonic transmitters. To estimate population parameters, sophisticated and complex mathematical models have been devised on the basis of recapture information and computer packages. This book addresses the analysis of such models. It is primarily intended for ecologists and wildlife managers who wish to apply the methods to the types of problems discussed above, though it will also benefit researchers and graduate students in ecology. Familiarity with basic statistical concepts is essential.
Other form:	Print version: 3030181863 9783030181864
Standard no.:	10.1007/978-3-030-18187-1

Table of Contents:

Preface
1 A Brief History of Capture-Recapture
2 Tagging methods and Tag Loss
3 Tag Returns from Dead Animals
4 Using Releases and Resightings
5 Mark-Recapture: Basic Models
6 Multiple Recaptures: Further Methods
7 Departures from Model Assumptions
8 Combined Data Models
9 Further Bayesian and Monte Carlo Recapture Methods
10 Log-Linear Models for Multiple Recaptures
11 Combining Open and Closed Models
12 Continuous Dead-Recovery Models
13 Multisite and StateSpace Models
14 Designing and Modeling Capture-Recapture Experiments
15 Statistical Computation
16 Where to Now?
APPENDIX A Some General Results
References
Index.

Capture-recapture : parameter estimation for open animal populations /

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