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A Knowledge-Based Approach to the Assessment of Watershed Condition
Authors:Mark E Jensen  Keith Reynolds  James Andreasen  Iris A Goodman
Institution:(1) Ecological Applications Service Team, USDA, Forest Service, 200 E., Broadway, Missoula, MT 59807, USA;(2) Forestry Sciences Lab., USDA, Forest Service, 3200 SW Jefferson Way, Corvallis, OR 97331, USA;(3) Office of Research and Development, U.S. EPA, 401 M St., SW (8623-D), Washington, DC 20460, USA;(4) Landscape Ecology Research Lab, U.S. EPA, (Bldg. MSD), 944 E. Harmon Ave., Las Vegas, NV 89119, USA
Abstract:The Ecosystem Management Decision Support (EMDS) system is an application framework for knowledge-based decision support of ecological assessments. EMDS integrates geographic information system and knowledge base system technologies to provide an analytical tool for environmental assessment and monitoring. The basic objective of EMDS is to improve the quality and completeness of environmental assessments and the efficiency with which they are performed. The USDA Forest Service and the U.S. Environmental Protection Agency have cooperatively developed an EMDS knowledge base for watershed condition assessment. Specifically, this knowledge base evaluates watershed processes, patterns, general effects of human activity, and fisheries habitat suitability. Such assessments are based on spatially explicit input data concerning current conditions and reference conditions which are subsequently interpreted by user-defined "fuzzy" membership functions. In this paper we describe basic components of our knowledge base for assessing watershed condition and illustrate its application within northern Idaho and northwestern Montana.
Keywords:ecosystem health  watershed condition  watershed analysis  knowledge base  expert systems  artificial intelligence  decision support systems
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