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NED-1: integrated analyses for forest stewardship decisions


H. Michael Rauscher
Deborah J. Bennett
James F. Palmer
Robin E. Hoffman
David S. DeCalesta
Donald Nute
Geneho Kim
R. Peter Kollasch



Publication type:

Scientific Journal (JRNL)

Primary Station(s):

Northern Research Station

Historical Station(s):

Northeastern Research Station


Computers and Electronics in Agriculture 27 (2000) 167-193


NED is a collective term for a set of software intended to help resource managers develop goals, assess current and potential conditions, and produce sustainable management plans for forest properties. The software tools are being developed by the USDA Forest Service, Northeastern and Southern Research Stations, in cooperation with many other collaborators. NED-1 is a Windows-based program that helps analyze forest inventory data from the perspective of various resources on management areas as large as several thousand hectares. Resources addressed include visual quality, ecology, forest health, timber, water, and wildlife. NED-1 evaluates the degree to which an individual stand or an entire management unit may provide the conditions required to accomplish specific goals. NED-1 users select from a variety of reports, including tabular data summaries, general narratives, and goal-specific analyses. An extensive hypertext system provides information about the resource goals, the desired conditions that support achieving those goals, and related data used to analyze the actual condition of the forest, as well as detailed information about the program itself and the rules and formulas used to produce the analyses. The software is constructed in C++ using an application framework; the inferencing component that handles the rule bases uses Prolog.


Twery, Mark J. ; Rauscher, H. Michael; Bennett, Deborah J.; Thomasma, Scott A.; Stout, Susan L.; Palmer, James F.; Hoffman, Robin E.; DeCalesta, David S.; Gustafson, Eric; Cleveland, Helene; Grove, J. Morgan; Nute, Donald; Kim, Geneho; Kollasch, R. Peter. 2000. NED-1: integrated analyses for forest stewardship decisions. Computers and Electronics in Agriculture 27 (2000) 167-193


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