Decision Support Systems in Forest Management

Keith M. Reynolds, Mark Twery, Manfred J. Lexer, Harald Vacik, Duncan Ray, Guofan Shao and Jose G. Borges
Additional contact information
Keith M. Reynolds: Pacific Northwest Research Station
Mark Twery: Northern Research Station
Manfred J. Lexer: University of Natural Resources and Applied Life Sciences
Harald Vacik: University of Natural Resources and Applied Life Sciences
Duncan Ray: Forest Research
Guofan Shao: Purdue University
Jose G. Borges: Technical University of Lisbon

Chapter 60 in Handbook on Decision Support Systems 2, 2008, pp 499-533 from Springer

Abstract: Abstract Numerous decision support systems have been developed for forest management over the past 20 years or more. In this chapter, the authors briefly review some of the more important and recent developments, including examples from North America, Europe, and Asia. In addition to specific systems, we also review some of the more-significant methodological approaches such as artificial neural networks, knowledge-based systems, and multicriteria decision models. A basic conclusion that emerges from this review is that the availability of DSSs in forest management has enabled more-effective analysis of the options for and implications of alternative management approaches for all components of forest ecosystems. The variety of tools described herein, and the approaches taken by the different systems, provide a sample of the possible methods that can be used to help stakeholders and decision makers arrive at reasoned and reasonable decisions.

Keywords: Forest Management; Decision Support System; Sustainable Forest Management; Environmental System Research Institute; Forestry Commission (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/978-3-540-48716-6_24

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