NCSSF Project A10
Decision Support Systems for Forest Biodiversity: Evaluation of Current Systems and Future Needs

DSS Guidebook Abstract

Johnson, K.N.; Gordon, S.; Duncan, S.; Lach, D.; McComb, B.; Reynolds, K. 2007. Conserving creatures of the forest: A guide to decision making and decision models for forest biodiversity. Corvallis, OR : Oregon State University, College of Forestry.

The complexity of forest management has increased with the scope of resources of concern and the level of scrutiny from stakeholders. The design and use of specialized computer software, often referred to as "decision support systems" (DSS), is one method for helping managers deal with this complexity. For this study, we assembled an interdisciplinary team (forestry, modeling, wildlife, sociology) to investigate the utility of such DSS in making real-world forest biodiversity decisions. We used a survey to collect in-depth information on 32 DSS which had been used in making actual decisions on the ground. Their capabilities are discussed in relation to the Montreal Process biodiversity indicators and the common core problems they address. We followed up with fifteen case studies on how have decision makers in different sectors and levels have used DSS. Contrary to the analytical view of DSS, the more social measures of "stakeholder evaluations" and "contribution to consensus building" were found to be the most popular measures of success. From the cases, we distilled six generic benefits and eight drawbacks, which provide a more general guidance on the larger issue of using scientific and technical information in social decision making processes.

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