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Quantitative Methods for Conservation Biology

Overview of attention for book
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 9: Assessing Land-Use Impacts on Bull Trout Using Bayesian Belief Networks
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Chapter title
Assessing Land-Use Impacts on Bull Trout Using Bayesian Belief Networks
Chapter number 9
Book title
Quantitative Methods for Conservation Biology
Published by
Springer, New York, NY, January 2000
DOI 10.1007/0-387-22648-6_9
Book ISBNs
978-0-387-95486-8, 978-0-387-22648-4
Authors

Danny C. Lee, Lee, Danny C.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Ph. D. Student 4 24%
Professor 2 12%
Student > Bachelor 1 6%
Other 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 53%
Environmental Science 4 24%
Unknown 4 24%

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