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Integrated resource management systems: Coupling expert systems with data-base management and geographic information systems

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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.

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Authors and Affiliations

  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

    Douglas K. Loh

  2. Center for Biosystems Modelling Department of Industrial Engineering, Texas A&M University, 77843-3131, College Station, Texas, USA

    Edward J. Rykiel Jr.

Authors
  1. Douglas K. Loh
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  2. Edward J. Rykiel Jr.
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Loh, D.K., Rykiel, E.J. Integrated resource management systems: Coupling expert systems with data-base management and geographic information systems. Environmental Management 16, 167–177 (1992). https://doi.org/10.1007/BF02393822

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