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     Book

Quantitative Methods for Conservation Biology

     * Book
     * © 2000

Overview

   Authors:

          + [12]Scott Ferson ^[13]0,
          + [14]Mark Burgman ^[15]1

    1. Scott Ferson
         1. Applied Biomathematics, Setauket, USA
       [16]View author publications
       You can also search for this author in [17]PubMed   [18]Google Scholar
    2. Mark Burgman
         1. School of Botany, University of Melbourne, Australia
       [19]View author publications
       You can also search for this author in [20]PubMed   [21]Google Scholar

     * 8889 Accesses
     * 431 [22]Citations
     * 4 [23]Altmetric

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Table of contents (17 chapters)

    1.

Front Matter
       Pages i-xi
       [31]Download chapter PDF
    2.

[32]Detecting Extinction in Sighting Data
          + Andrew Solow, Thomas Helser
       Pages 1-6
    3.

[33]Inferring Threat from Scientific Collections: Power Tests and an Application to
Western Australian Acacia Species
          + Mark Burgman, Bruce R. Maslin, David Andrewartha, Marie R. Keatley,
            Chris Boek, Michael McCarthy
       Pages 7-26
    4.

[34]Identifying the Ecological Correlates of Extinction-Prone Species: A Case Study of
New Zealand Birds
          + Brendan Moyle
       Pages 27-38
    5.

[35]Quantitative Methods for Modeling Species Habitat: Comparative Performance and an
Application to Australian Plants
          + Jane Elith
       Pages 39-58
    6.

[36]Risk Assessment of a Proposed Introduction of Pacific Salmon in the Delaware River
Basin
          + Paul T. Jacobson
       Pages 59-76
    7.

[37]Likelihood of Introducing Nonindigenous Organisms with Agricultural Commodities:
Probabilistic Estimation
          + Michael J. Firko, Edward V. Podleckis
       Pages 77-95
    8.

[38]"Best" Abundance Estimates and Best Management: Why They Are Not the Same
          + Barbara L. Taylor, Paul R. Wade
       Pages 96-108
    9.

[39]Whaling Models for Cetacean Conservation
          + Mark S. Boyce
       Pages 121-126
   10.

[40]Assessing Land-Use Impacts on Bull Trout Using Bayesian Belief Networks
          + Danny C. Lee
       Pages 127-147
   11.

[41]Using Matrix Models to Focus Research and Management Efforts in Conservation
          + Selina S. Heppell, Deborah T. Crouse, Larry B. Crowder
       Pages 148-168
   12.

[42]Variability and Measurement Error in Extinction Risk Analysis: The Northern Spotted
Owl on the Olympic Peninsula
          + Lloyd Goldwasser, Scott Ferson, Lev Ginzburg
       Pages 169-187
   13.

[43]Can Individual-Based Models Yield a Better Assessment of Population Variability?
          + Yiannis G. Matsinos, Wilfried F. Wolff, Donald L. DeAngelis
       Pages 188-198
   14.

[44]Potential of Branching Processes as a Modeling Tool for Conservation Biology
          + Frédéric Gosselin, Jean-Dominique Lebreton
       Pages 199-225
   15.

[45]Role of Genetics in Conservation Biology
          + Sabine S. Loew
       Pages 226-258
   16.

[46]Modeling Problems in Conservation Genetics Using Laboratory Animals Richard
Frankham
          + Richard Frankham
       Pages 259-273
   17.

[47]Theoretical Properties of Extinction by Inbreeding Depression Under Stochastic
Environments
          + Yoshinari Tanaka
       Pages 274-290
   18.

[48]Mathematical Methods for Identifying Representative Reserve Networks
          + Hugh Possingham, Ian Ball, Sandy Andelman
       Pages 291-306
   19.

Back Matter
       Pages 307-322
       [49]Download chapter PDF

   [50]Back to top

Keywords

     * [51]biodiversity
     * [52]biology
     * [53]conservation biology
     * [54]ecology
     * [55]environment
     * [56]natural resources
     * [57]population dynamics
     * [58]population genetics
     * [59]preservation
     * [60]risk assessment

About this book

   Quantitative methods are needed in conservation biology more than ever as an
   increasing number of threatened species find their way onto international and
   national "red lists. " Objective evaluation of population decline and extinction
   probability are required for sound decision making. Yet, as our colleague Selina
   Heppell points out, population viability analysis and other forms of formal risk
   assessment are underused in policy formation because of data uncertainty and a
   lack of standardized methodologies and unambiguous criteria (i. e. , "rules of
   thumb"). Models used in conservation biology range from those that are purely
   heuristic to some that are highly predictive. Model selection should be dependent
   on the questions being asked and the data that are available. We need to develop
   a toolbox of quantitative methods that can help scientists and managers with a
   wide range of systems and that are subject to varying levels of data uncertainty
   and environmental variability. The methods outlined in the following chapters
   represent many of the tools needed to fill that toolbox. When used in conjunction
   with adaptive management, they should provide information for improved
   monitoring, risk assessment, and evaluation of management alternatives. The first
   two chapters describe the application of methods for detecting trends and
   extinctions from sighting data. Presence/absence data are used in general linear
   and additive models in Chapters 3 and 4 to predict the extinction proneness of
   birds and to build habitat models for plants.

Reviews

   From the reviews:

   "Population decline and extinction of many species is a worldwide phenomenon.
   Because quantitative methods are either lacking or not applied population
   declines are often poorly understood ... . The present book aims to contribute to
   close this gap by introducing several different quantitative methods that are
   useful to conservationists. ... The book has been written for graduate students
   and working conservation biologists. ... The authors succeeded ... in presenting
   the different methods in an understandable and simple way. ... I would recommend
   the book". (Michael Schaub, Basic and Applied Ecology, Issue 5, 2004)

Authors and Affiliations

     * Applied Biomathematics, Setauket, USA
       Scott Ferson
     * School of Botany, University of Melbourne, Australia
       Mark Burgman

Bibliographic Information

     * Book Title: Quantitative Methods for Conservation Biology
     * Authors: Scott Ferson, Mark Burgman
     * DOI: https://doi.org/10.1007/b97704
     * Publisher: Springer New York, NY
     * eBook Packages: [61]Springer Book Archive
     * Copyright Information: Springer Science+Business Media New York 2000
     * Softcover ISBN: 978-0-387-95486-8Published: 13 June 2002
     * eBook ISBN: 978-0-387-22648-4Published: 09 May 2006
     * Edition Number: 1
     * Number of Pages: XI, 322
     * Number of Illustrations: 5 b/w illustrations
     * Topics: [62]Community & Population Ecology, [63]Theoretical
       Ecology/Statistics

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