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    Author(s): Mark J. Twery; Peter D. Knopp; Scott A. Thomasma; H. Michael Rauscher; Donald E. Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mayukh Dass; Hajime Uchiyama; Astrid Glende; Robin E. Hoffman
    Date: 2005
    Source: Computers and Electronics in Agriculture 49 (2005) 24-43
    Publication Series: Miscellaneous Publication
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    NED-2 is a Windows-based system designed to improve project-level planning and decision making by providing useful and scientifically sound information to natural resource managers. Resources currently addressed include visual quality, ecology, forest health, timber, water, and wildlife. NED-2 expands on previous versions of NED applications by integrating treatment prescriptions, groth stimulation, and alternative comparisons with evaluations of multiple resources across a management unit. The NED-2 system is adaptable for small private holdings, large public properties, or cooperative management acros multiple ownerships. NED-2 implements a goal-driven decision process that ensures that all relevant goals are considered; the character and current condition of forestland are known; alternatives to manage the land are designed and tested; the future forest under each alternative is simulated; and the alternative selected achieves the owner's goals. NED-2 is designed to link with the NedLite package for field data collection using a handheld PDA, and is constructed to be easy to link to third-party applications. The NED process is being field tested to demonstrate its utility and identify weaknesses. Results of case studies are summarized for two owners, a private individual and Published by Elsevier B.V.

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    Twery, Mark J.; Knopp, Peter D.; Thomasma, Scott A.; Rauscher, H. Michael; Nute, Donald E.; Potter, Walter D.; Maier, Frederick; Wang, Jin; Dass, Mayukh; Uchiyama, Hajime; Glende, Astrid; Hoffman, Robin E. 2005. NED-2: A decision support system for integrated forest ecosystem management. Computers and Electronics in Agriculture 49 (2005) 24-43


    Ecosystem management, Decision support system, Knowledge-based system, Multiresource decisions, Treatment prescription, Growth simulation

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