Integrated resource management systems: Coupling expert systems with data-base management and geographic information systems |
| |
Authors: | Douglas K Loh Edward J Rykiel Jr |
| |
Institution: | (1) Starr Lab Laboratory for Systems Technology Applications in Renewable Resources Department of Rangeland Ecology and Mangement, Texas A&M University, 77843-2126 College Station, Texas, USA;(2) Center for Biosystems Modelling Department of Industrial Engineering, Texas A&M University, 77843-3131 College Station, Texas, USA |
| |
Abstract: | Decision making in natural resource management is becoming increasingly information-intensive because of the rising public
concerns about resource conservation and environmental quality. The volume of information that must be analyzed and the complexity
of the decision-making process demands that computerized systems be developed to provide decision support services. An integrated
systems approach that couples data-base management, geographic information systems, and expert systems is needed. We refer
to such an approach as integrated resource management automation (IRMA) and describe a prototype system that is currently
being tested in the Nicolet National Forest. This type of information system is likely to play an increasingly important role
in the management of natural resources in the future. |
| |
Keywords: | Resource management Natural resources Forestry Expert systems Rule-based reasoning Geographic information systems Data-base management systems Decision support system |
本文献已被 SpringerLink 等数据库收录! |