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Capture-Recapture: Parameter Estimation for Open Animal Populations

Part of the Statistics for Biology and Health Book Series

DOI: 10.1007/978-3-030-18187-1

ISBN: 978-3-030-18186-4

Publisher: Springer International Publishing - Springer Journals

Aug 14, 2019

1 - 10 of 16 Chapters

Available

A Brief History of Capture–Recapture

Seber, George A. F.; Schofield, Matthew R.

Pages: 1 –11

[Capture–recapture methods have a long history and in this introductory chapter we begin by briefly describing some of the defining research papers up to about 1950. The rest of the book takes us up to the beginning of 2019. Model building plays an essential part in this book and some basic ideas...
Available

Tagging Methods and Tag Loss

Seber, George A. F.; Schofield, Matthew R.

Pages: 13 –37

[With new developments in technology such as with cameras and radio telemetry, we describe a wide variety of tags and markers used for uniquely identifying animals. Examples are various types of attached tags, natural markers on animals (e.g., tiger stripes, tail fins), radio tags, PIT tags that...
Available

Tag Returns from Dead Animals

Seber, George A. F.; Schofield, Matthew R.

Pages: 39 –95

[This scenario arises when tagged animals die through natural mortality and possibly exploitation (e.g., hunting and fisheries), and their tags are recovered. A wide variety of models for both exploited and unexploited populations are considered depending on what underlying population assumptions...
Available

Using Releases and Resightings

Seber, George A. F.; Schofield, Matthew R.

Pages: 97 –109

[Instead of dead recoveries, we can obtain recapture information through simply resighting live tagged individuals using a time-specific model. This was described by Richard Cormack in 1964. Underlying assumptions are considered and tests are provided.]
Available

Mark–Recapture: Basic Models

Seber, George A. F.; Schofield, Matthew R.

Pages: 111 –172

[We consider two basic live-recapture models referred to as the CJS model (after Cormack–Jolly–Seber) that models the tagged data, and the JS model (after Jolly and Seber in Biometrika, 52:225–247, 1965), which also includes the untagged data. Likelihood methods as originally used are described,...
Available

Multiple Recaptures: Further Methods

Seber, George A. F.; Schofield, Matthew R.

Pages: 173 –209

[In the previous chapter, we introduced some models that have formed a historical basis for developments in capture–recapture, with some extensions. The subject has now taken off in a number of different directions that will be considered in this and the following chapters. Although the split...
Available

Departures from Model Assumptions

Seber, George A. F.; Schofield, Matthew R.

Pages: 211 –255

[This topic needs particular emphasis in research. Departures considered include the initial effect of tagging, tag-loss models (including telemetry data), heterogeneity, and catchability dependence, along with appropriate test procedures. Mixtures model can be used here together with...
Available

Combined Data Models

Seber, George A. F.; Schofield, Matthew R.

Pages: 257 –308

[In previous chapters, we have considered three methods of obtaining recapture data: dead recoveries, resightings, and live recaptures. As the models for all three methods have a similar structure, except for different definitions of the population parameters, it is not surprising we can combine...
Available

Further Bayesian and Monte Carlo Recapture Methods

Seber, George A. F.; Schofield, Matthew R.

Pages: 309 –329

[Although Bayesian methods are sprinkled throughout some of the previous chapters, we now give the topic our full attention and add some extensions. Their particular advantage arises from being able to apply Markov chain Monte Carlo techniques along with so-called reversible jump methods to...
Available

Log-Linear Models for Multiple Recaptures

Seber, George A. F.; Schofield, Matthew R.

Pages: 331 –343

[This short stand-alone chapter is introduced mainly for historical reasons, though it has some interesting ideas and has had a resurgence for closed populations along with some new R software. For open and closed populations, the method consists of taking logarithms of the expected values of...

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