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Titlebook: Estimating Animal Abundance; Closed Populations D. L. Borchers,S. T. Buckland,W. Zucchini Textbook 2002 Springer-Verlag London 2002 Animal

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書目名稱Estimating Animal Abundance
副標(biāo)題Closed Populations
編輯D. L. Borchers,S. T. Buckland,W. Zucchini
視頻videohttp://file.papertrans.cn/316/315757/315757.mp4
概述Provides the first accessible introduction to wildlife population assessment methods.Adopts a new approach, using a single conceptual (and statistical) framework for all methods.Accompanied by free, u
叢書名稱Statistics for Biology and Health
圖書封面Titlebook: Estimating Animal Abundance; Closed Populations D. L. Borchers,S. T. Buckland,W. Zucchini Textbook 2002 Springer-Verlag London 2002 Animal
描述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 suppor
出版日期Textbook 2002
關(guān)鍵詞Animal Abundance Estimation; Biology; Distance Sampling; Ecology; Quantitative Ecology; statistics
版次1
doihttps://doi.org/10.1007/978-1-4471-3708-5
isbn_softcover978-1-84996-885-0
isbn_ebook978-1-4471-3708-5Series ISSN 1431-8776 Series E-ISSN 2197-5671
issn_series 1431-8776
copyrightSpringer-Verlag London 2002
The information of publication is updating

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Simple mark-recapturewe assume we know it, and with distance sampling methods (Chapter 7) we assume “capture” is certain on the line or point. Depending on the application, these assumptions may be quite reasonable; when they are not, removal or mark-recapture methods can be useful. With mark-recapture methods, animals
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Distance samplingection probability. Distance sampling comprises several related methods which involve measuring or estimating distances of detected animals from a line or point. The two main methods are line transect sampling and point transect sampling (sometimes called variable circular plots). Both are extension
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Further building blocksed in the process determining the population state (the spatial distribution of animals, for example), this would be a reason to use model-based methods. Model-based methods can also lead to substantial improvement in precision, because some of the variation in density is “explained” by the model in
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Dynamic and open population modelserage of integrated modelling for open populations requires a book in its own right. Second, the tools to fit such integrated models have only recently been developed, and more research is needed to explore their potential.
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