Decision Support Systems in Forest Management View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2008

AUTHORS

Keith M. Reynolds , Mark Twery , Manfred J. Lexer , Harald Vacik , Duncan Ray , Guofan Shao , Jose G. Borges

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. More... »

PAGES

499-533

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-540-48716-6_24

DOI

http://dx.doi.org/10.1007/978-3-540-48716-6_24

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033307279


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