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Decision support systems for ecosystem management: An evaluation of existing systems
Author(s): H. Todd Mowrer; Klaus Barber; Joe Campbell; Nick Crookston; Cathy Dahms; John Day; Jim Laacke; Jim Merzenich; Steve Mighton; Mike Rauscher; Rick Sojda; Joyce Thompson; Peter Trenchi; Mark Twery
Date: 1997
Source: Gen. Tech. Rep. RM-GTR-296. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station. 154 p.
Publication Series: General Technical Report (GTR)
Station: Rocky Mountain Forest and Range Experiment Station
PDF: View PDF (8.98 MB)Description
This report evaluated 24 computer-aided decision support systems (DSS) that can support management decision-making in forest ecosystems. It compares the scope of each system, spatial capabilities, computational methods, development status, input and output requirements, user support availability, and system performance. Questionnaire responses from the DSS developers (who have sole responsibility for their content) provide the basis for four summary tables comparing system capabilities. The responses are also presented verbatim for reference. This evaluation aids potential users of decision support systems in determining which system most closely fulfills their needs.Publication Notes
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Citation
Mowrer, H. Todd; Barber, Klaus; Campbell, Joe; Crookston, Nick; Dahms, Cathy; Day, John; Laacke, Jim; Merzenich, Jim; Mighton, Steve; Rauscher, Mike; Sojda, Rick; Thompson, Joyce; Trenchi, Peter; Twery, Mark. 1997. Decision support systems for ecosystem management: An evaluation of existing systems. Gen. Tech. Rep. RM-GTR-296. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station. 154 p.Cited
Keywords
geographic information systems, optimization, heuristics, artificial intelligence, simulation modelingRelated Search
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https://www.fs.usda.gov/treesearch/pubs/21386