• DocumentCode
    2413373
  • Title

    Application of Logic and Decision Models in Sustainable Ecosystem Management

  • Author

    Jensen, Michael ; Reynolds, K. ; Langner, U. ; Hart, M.

  • Author_Institution
    USDA FS, Missoula, MT
  • fYear
    2009
  • fDate
    5-8 Jan. 2009
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    The Northern Region of the USDA Forest Service is using the ecosystem management decision support system (EMDS) to evaluate ecosystem sustainability for National Forest plan revisions following the 2008 Planning Rule. We describe how this knowledge-based system can be successfully used in the development of logic models for integrated evaluations of social, economic, and ecological information to support strategic forest planning. We also describe basic features of EMDS decision models and provide examples of their use in identifying potential treatment areas that best meet integrated landscape restoration objectives for a variety of natural resource uses. Scenarios concerning optimum locations for hazardous fuel reduction, protection of developed recreation values, and watershed condition improvement are presented to illustrate how the evaluation and decision modeling capabilities of EMDS can be used sequentially in both strategic and tactical planning.
  • Keywords
    decision making; ecology; natural resources; strategic planning; National Forest plan revisions; USDA Forest Service; ecosystem management decision support system; hazardous fuel reduction; integrated landscape restoration; logic-decision models; strategic forest planning; sustainable ecosystem management; tactical planning; Biological system modeling; Decision support systems; Ecosystems; Fuel economy; Knowledge based systems; Land use planning; Logic; Protection; Strategic planning; US Department of Agriculture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
  • Conference_Location
    Big Island, HI
  • ISSN
    1530-1605
  • Print_ISBN
    978-0-7695-3450-3
  • Type

    conf

  • DOI
    10.1109/HICSS.2009.73
  • Filename
    4755425