Lakehead University Library Logo
    • Login
    View Item 
    •   Knowledge Commons Home
    • Electronic Theses and Dissertations
    • Retrospective theses
    • View Item
    •   Knowledge Commons Home
    • Electronic Theses and Dissertations
    • Retrospective theses
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    quick search

    Browse

    All of Knowledge CommonsCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDisciplineAdvisorCommittee MemberThis CollectionBy Issue DateAuthorsTitlesSubjectsDisciplineAdvisorCommittee Member

    My Account

    Login

    Comparative assessment of SFMM/Stanley & COMPLAN for forest management planning in Ontario

    Thumbnail
    View/Open
    MacGillivrayJ2002m-1b.pdf (2.341Mb)
    Date
    2002
    Author
    MacGillivray, John
    Metadata
    Show full item record
    Abstract
    The growing complexity of forest management planning issues requires the best planning tools available. A key question facing forest management planners in Ontario is whether SFMM (and its harvest-blocking tool Stanley) are the appropriate tools. The most effective method to evaluate SFMM/Stanley’s appropriateness is to compare it with a model proven in other jurisdictions. Through the study the differences in the approaches to forest management taken by each model became apparent. The differences between optimization and simulation apart, the biggest difference derived from the role the model developers envisioned for their model. SFMM was designed as a tool to develop management strategies in even-aged forests. The scope is over a large area and long timeframe, typical of preparing a forest management plan in the province, this makes allowance for a loss of a certain amount of detail. COMPLAN was designed in partnership with industrial clients and emphasizes operational considerations, much more so than SFMM. COMPLAN attempts to maintain as much detail as possible. The model also integrates the spatial component into the operational planning, as spatial constraints are identified as a key factor in the operational planning process.
    URI
    http://knowledgecommons.lakeheadu.ca/handle/2453/3226
    Collections
    • Retrospective theses [1605]

    Lakehead University Library
    Contact Us | Send Feedback

     

     


    Lakehead University Library
    Contact Us | Send Feedback