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BOOK REVIEWS: Decision Methods for Forest Resource Management

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Abstract:



Decision Methods for Forest Resource Management is a book that describes several modeling approaches that natural resource managers use to help guide decisions. Nine of its 19 chapters are devoted to linear programming and its application to modeling even-aged and uneven-aged forest management. The book also covers goal programming, integer programming, CPM/PERT, dynamic programming, deterministic and stochastic simulation, Markov chains and decision processes, investment analysis, and econometric analysis and forecasting. The examples and the problems presented are relevant to forest management in today's environment. There is a strong emphasis on sustainability, environmental values (including biodiversity), and economics. The book is targeted at senior undergraduate students, graduate students, and professionals involved in natural resource management.

Keywords: environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources

Document Type: Miscellaneous

Affiliations: Department of Renewable Resources, University of Alberta, Edmonton, AB, Canada, T6G 2H1, Phone: 780-492-8221; Fax: 780-492-4323 glen.w.armstrong@ualberta.ca

Publication date: 2003-10-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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