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Quantitative Methods for Conservation Biology

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Cover of 'Quantitative Methods for Conservation Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Detecting Extinction in Sighting Data
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    Chapter 2 Inferring Threat from Scientific Collections: Power Tests and an Application to Western Australian Acacia Species
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    Chapter 3 Identifying the Ecological Correlates of Extinction-Prone Species: A Case Study of New Zealand Birds
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    Chapter 4 Quantitative Methods for Modeling Species Habitat: Comparative Performance and an Application to Australian Plants
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    Chapter 5 Risk Assessment of a Proposed Introduction of Pacific Salmon in the Delaware River Basin
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    Chapter 6 Likelihood of Introducing Nonindigenous Organisms with Agricultural Commodities: Probabilistic Estimation
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    Chapter 7 “Best” Abundance Estimates and Best Management: Why They Are Not the Same
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    Chapter 8 Whaling Models for Cetacean Conservation
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    Chapter 9 Assessing Land-Use Impacts on Bull Trout Using Bayesian Belief Networks
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    Chapter 10 Using Matrix Models to Focus Research and Management Efforts in Conservation
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    Chapter 11 Variability and Measurement Error in Extinction Risk Analysis: The Northern Spotted Owl on the Olympic Peninsula
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    Chapter 12 Can Individual-Based Models Yield a Better Assessment of Population Variability?
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    Chapter 13 Potential of Branching Processes as a Modeling Tool for Conservation Biology
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    Chapter 14 Role of Genetics in Conservation Biology
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    Chapter 15 Modeling Problems in Conservation Genetics Using Laboratory Animals Richard Frankham
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    Chapter 16 Theoretical Properties of Extinction by Inbreeding Depression Under Stochastic Environments
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    Chapter 17 Mathematical Methods for Identifying Representative Reserve Networks
Attention for Chapter 17: Mathematical Methods for Identifying Representative Reserve Networks
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Chapter title
Mathematical Methods for Identifying Representative Reserve Networks
Chapter number 17
Book title
Quantitative Methods for Conservation Biology
Published by
Springer, New York, NY, January 2000
DOI 10.1007/0-387-22648-6_17
Book ISBNs
978-0-387-95486-8, 978-0-387-22648-4
Authors

Hugh Possingham, Ian Ball, Sandy Andelman, Possingham, Hugh, Ball, Ian, Andelman, Sandy

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 419 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 10 2%
Australia 8 2%
United States 5 1%
South Africa 5 1%
Germany 4 <1%
Canada 3 <1%
Italy 2 <1%
Colombia 2 <1%
Switzerland 2 <1%
Other 12 3%
Unknown 366 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 121 29%
Student > Ph. D. Student 75 18%
Student > Master 55 13%
Professor 29 7%
Student > Postgraduate 25 6%
Other 80 19%
Unknown 34 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 165 39%
Environmental Science 153 37%
Earth and Planetary Sciences 20 5%
Social Sciences 3 <1%
Biochemistry, Genetics and Molecular Biology 3 <1%
Other 24 6%
Unknown 51 12%