Author: Jeffrey H. Gove
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 40

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Author: Jeffrey H. Gove
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 0

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Author:
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 336

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Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1094

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Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1092

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Author: Gary C. White
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 260

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Book Description
The problem of estimating animal abundance is common in wildlife management and environmental impact assessment. Capture-recapture and removal methods are often used to estimate population size. Statistical Inference From Capture Data On Closed Animal Populations, a monograph by Otis et al. (1978), provides us with a comprehensive synthesis of much of the wildlife and statistical literature on the methods, as well as some extensions of the general theory. In our primer, we focus on capture-recapture and removal methods for trapping studies in which a population is assumed to be closed and do not treat open-population models, such as the Jolly-Seber model, or catch-effort methods in any detail. The primer, written for students interested in population estimation, is intended for use with the more theoretical monograph.

Author: Northeastern Forest Experiment Station (Radnor, Pa.)
Publisher:
ISBN:
Category : Forests and forestry
Languages : en
Pages : 28

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Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 626

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Author: Betty Leffler
Publisher:
ISBN:
Category : Animal populations
Languages : en
Pages : 254

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Author: George A. F. Seber
Publisher: Springer
ISBN: 3030181871
Category : Mathematics
Languages : en
Pages : 663

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Book Description
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.