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    • Journal of Range Management, Volume 40 (1987)
    • Journal of Range Management, Volume 40, Number 6 (November 1987)
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    Decision-analysis approach to brush management planning: ramifications for integrated range resources management

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    Author
    Scifres, C. J.
    Issue Date
    1987-11-01
    Keywords
    integrated methods
    resource management
    expert systems
    systems approach
    computer techniques
    decision making
    brush control
    integrated control
    range management
    
    Metadata
    Show full item record
    Citation
    Scifres, C. J. (1987). Decision-analysis approach to brush management planning: ramifications for integrated range resources management. Journal of Range Management, 40(6), 482-490.
    Publisher
    Society for Range Management
    Journal
    Journal of Range Management
    URI
    http://hdl.handle.net/10150/645153
    DOI
    10.2307/3898865
    Additional Links
    https://rangelands.org/
    Abstract
    Simulation, optimization, and other modeling paradigms for systems ecology and economics have not been broadly applied to development of models for range resource management in real-world settings. The lag in emergence of applicable management models may be attributed to the lack of a conceptual context for their application. Recent appreciation of the decision-analysis approach to natural resource management and the general availability of high-speed computing capabilities have provided viable bases for using increasingly sophisticated analytical tools to solve management problems. Decision models may be used to generate proforma contrasts of selected management alternatives for multi-enterprise firms and implementation protocols for the selected management program(s). Such models, operating from a computer-managed information base, become decision-support systems (DSS) for approaching specific management problems; Integrated Brush Management Systems (IBMS) is one example. These DSS are proposed at the first step toward creating comprehensive decision-making models for total resource management (i.e. Integrated Range Resource Management or Integrated Range Resource Analysis). The next generation of models will link qualitative information and rules-of-thumb (heuristics) with hard (experimentally derived) data. These knowledge-based or expert systems, one facet of the growing field of artificial intelligence, hold great promise as vehicles for achieving Integrated Range Resource management. Bringing Integrated Range Resource Management Systems to fruition can be expedited by interdisciplinary research and educational programs for potential user groups.
    Type
    text
    Article
    Language
    en
    ISSN
    0022-409X
    ae974a485f413a2113503eed53cd6c53
    10.2307/3898865
    Scopus Count
    Collections
    Journal of Range Management, Volume 40, Number 6 (November 1987)

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