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Expert Knowledge and Its Application in Landscape Ecology

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Cover of 'Expert Knowledge and Its Application in Landscape Ecology'

Table of Contents

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    Book Overview
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    Chapter 1 Experts, Expert Knowledge, and Their Roles in Landscape Ecological Applications
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    Chapter 2 What Is Expert Knowledge, How Is Such Knowledge Gathered, and How Do We Use It to Address Questions in Landscape Ecology?
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    Chapter 3 Expert Knowledge and Its Application in Landscape Ecology
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    Chapter 4 Eliciting Expert Knowledge of Forest Succession Using an Innovative Software Tool
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    Chapter 5 Expert Knowledge as a Foundation for the Management of Secretive Species and Their Habitat
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    Chapter 6 Incorporating Expert Knowledge in Decision-Support Models for Avian Conservation
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    Chapter 7 An Expert-Based Modeling Approach to Inform Strategic and Operational Land Management Decisions for the Recovery of Woodland Caribou
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    Chapter 8 Using Expert Knowledge Effectively: Lessons from Species Distribution Models for Wildlife Conservation and Management
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    Chapter 9 Exploring Expert Knowledge of Forest Succession: An Assessment of Uncertainty and a Comparison with Empirical Data
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    Chapter 10 Assessing Knowledge Ambiguity in the Creation of a Model Based on Expert Knowledge and Comparison with the Results of a Landscape Succession Model in Central Labrador
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    Chapter 11 Use of Expert Knowledge to Develop Fuel Maps for Wildland Fire Management
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    Chapter 12 Expert Knowledge and Its Application in Landscape Ecology
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    Chapter 13 Eliciting Expert Knowledge of Ecosystem Vulnerability to Human Stressors to Support Comprehensive Ocean Management
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    Chapter 14 Elicitation and Use of Expert Knowledge in Landscape Ecological Applications: A Synthesis
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Title
Expert Knowledge and Its Application in Landscape Ecology
Published by
Springer-Verlag New York, September 2011
DOI 10.1007/978-1-4614-1034-8
ISBNs
978-1-4614-1033-1, 978-1-4614-1034-8, 978-1-4899-9549-0
Authors

McBride, Marissa F., Burgman, Mark A.

Editors

Ajith H. Perera, C. Ashton Drew, Chris J. Johnson

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X Demographics

The data shown below were collected from the profiles of 2 X users 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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
Brazil 3 1%
United States 3 1%
Portugal 2 <1%
Canada 2 <1%
Sweden 1 <1%
Australia 1 <1%
South Africa 1 <1%
Unknown 232 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 23%
Student > Master 53 21%
Researcher 45 18%
Student > Bachelor 16 6%
Student > Doctoral Student 15 6%
Other 44 18%
Unknown 18 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 81 33%
Environmental Science 65 26%
Social Sciences 16 6%
Engineering 16 6%
Earth and Planetary Sciences 15 6%
Other 33 13%
Unknown 23 9%