Authors:
- Serves as guide for practitioners to answer the applied ecology question: what is the abundance of a given animal population
- Includes theory for designed experiments in distance sampling
- Has examples using R in addition to the Distance software
- Couples case studies with accessible datasets and software to allow readers to apply methods in a variety of contexts
- Includes supplementary material: sn.pub/extras
Part of the book series: Methods in Statistical Ecology (MISE)
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Table of contents (14 chapters)
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Front Matter
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Introduction, Survey Design and Field Methods
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Front Matter
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Design-Based and Model-Based Methods for Distance Sampling
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Front Matter
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Distance Sampling Variations, Special Issues and Assumptions
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Front Matter
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Back Matter
About this book
In this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application.
Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys.
Reviews
“This new volume by Dr. Buckland and his colleagues at the University of St. Andrews serves as both an introduction to distance sampling for people new to the field as well as a summary of recent developments. … I recommend the book as an excellent entry into this fascinating area of estimation and research. The R code alone is worth the purchase price.” (Mark Miller, BTO British Trust for Ornithology, bto.org, January, 2016)
Authors and Affiliations
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CREEM The Observatory, University of St. Andrews, St. Andrews, UK
S. T. Buckland, E. A. Rexstad, T. A. Marques, C. S. Oedekoven
Bibliographic Information
Book Title: Distance Sampling: Methods and Applications
Authors: S. T. Buckland, E. A. Rexstad, T. A. Marques, C. S. Oedekoven
Series Title: Methods in Statistical Ecology
DOI: https://doi.org/10.1007/978-3-319-19219-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-19218-5Published: 24 August 2015
Softcover ISBN: 978-3-319-37196-2Published: 22 October 2016
eBook ISBN: 978-3-319-19219-2Published: 08 August 2015
Series ISSN: 2199-319X
Series E-ISSN: 2199-3203
Edition Number: 1
Number of Pages: XV, 277
Number of Illustrations: 80 b/w illustrations
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Community & Population Ecology, Animal Ecology