Authors:
- The only book that covers such a broad a scope of planning methods and methodologies, supported by comprehensive numerical examples
- The first forestry textbook that covers stochastic optimisation and provides numerical examples
- Introduces state-of-the art multi-criteria analysis methods linked to practical forestry examples
- Presents sound MCA methods, with recommendations and examples for practical application
Part of the book series: Managing Forest Ecosystems (MAFE, volume 30)
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Table of contents (13 chapters)
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Front Matter
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Concepts and Definitions
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Front Matter
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Discrete Problems
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Front Matter
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Continuous Problems
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Front Matter
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Cases with Several Decision Makers
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Front Matter
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Behavioral Viewpoints
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Front Matter
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About this book
Reviews
Authors and Affiliations
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Economics and Society, Natural Resources Institute Finland (Luke), Joensuu, Finland
Annika Kangas
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Bio-based Business and Industry, Natural Resources Institute Finland (Luke), Joensuu, Finland
Mikko Kurttila
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Bio-based Business and Industry, Natural Resources Institute Finland (Luke), Helsinki, Finland
Teppo Hujala
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Department of Forest Sciences, University of Helsinki, Helsinki, Finland
Kyle Eyvindson
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School of Forest Sciences, University of Eastern Finland, Joensuu, Finland
Jyrki Kangas
Bibliographic Information
Book Title: Decision Support for Forest Management
Authors: Annika Kangas, Mikko Kurttila, Teppo Hujala, Kyle Eyvindson, Jyrki Kangas
Series Title: Managing Forest Ecosystems
DOI: https://doi.org/10.1007/978-3-319-23522-6
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-23521-9Published: 05 November 2015
Softcover ISBN: 978-3-319-33101-0Published: 23 August 2016
eBook ISBN: 978-3-319-23522-6Published: 27 October 2015
Series ISSN: 1568-1319
Series E-ISSN: 2352-3956
Edition Number: 2
Number of Pages: XIII, 307
Topics: Forestry Management, Sustainable Development, Operations Research/Decision Theory