کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10249980 | 158960 | 2005 | 20 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
NED-2: A decision support system for integrated forest ecosystem management
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزارهای علوم کامپیوتر
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چکیده انگلیسی
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, growth simulation, 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 across 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 the City of Baltimore, Maryland, and its reservoir lands.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 49, Issue 1, October 2005, Pages 24-43
Journal: Computers and Electronics in Agriculture - Volume 49, Issue 1, October 2005, Pages 24-43
نویسندگان
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,