Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): H.R. Ekbia; K.M. Reynolds
    Date: 2007
    Source: In: Reynolds, K.M.; Thomson, A.J.; Kohl, M.; Shannon, M.A.; Ray, D.; Rennolls, K., eds. Sustainable forestry: from monitoring and modeling to knowledge management and policy science. Oxfordshire, UK: CAB International: 497-514
    Publication Series: Scientific Journal (JRNL)
    PDF: View PDF  (3.18 MB)

    Description

    Decision-support systems (DSS) have been extensively used in the management of natural resources for nearly two decades. However, practical difficulties with the application of DSS in real-world situations have become increasingly apparent. Complexities of decisionmaking, encountered in the context of ecosystem management, are equally present in sustainable forestry. Various writers have criticized the classical rational/technical solutions commonly employed in DSS and have proposed new approaches based on consensus building, collaborative learning and social DSS, for example. We propose that rational models provide necessary, but not sufficient, tools for effective decision support of sustainable forestry. On this basis, we hypothesize that rational models are not intrinsically limiting, as some have suggested. Rather, perceived limitations of rational models in contemporary DSS might be more a consequence of our methods or of how we have chosen to employ them. Using the Ecosystem Management Decision Support system as an example, we describe how solutions based on rational methods can be integrated with new approaches, such as collaborative learning, to better cope with the practical difficulties of decision support for sustainable forestry. The chapter also discusses ecophenomenology as an outlook that offers a more integrative view of humans and nature and that avoids some of the basic issues facing the rational model.

    Publication Notes

    • You may send email to pnw_pnwpubs@fs.fed.us to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Ekbia, H.R.; Reynolds, K.M. 2007. Decision support for sustainable forestry: enhancing the basic rational model. In: Reynolds, K.M.; Thomson, A.J.; Kohl, M.; Shannon, M.A.; Ray, D.; Rennolls, K., eds. Sustainable forestry: from monitoring and modeling to knowledge management and policy science. Oxfordshire, UK: CAB International: 497-514

    Keywords

    Sustainable forestry, decision support, multi-agent-based systems, learning models

    Related Search


    XML: View XML
Show More
Show Fewer
Jump to Top of Page
https://www.fs.usda.gov/treesearch/pubs/29342