Expert and local knowledge in decision support for natural resource management : analysis of capture and use
(2008)
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Details
- Authors
- Supervisors
- Vanclooster, Marnik
- Abstract
- (en) Efficient management of natural resources (NRM) needs to be built on a correct understanding of the objectives of different stakeholders. Therefore, it is required to actively involve experts and stakeholders in the decision making process. However, the introduction of these knowledge claims is controversial. This is due to differences in the quality of the underlying involvement methods. The principle objective of this study was therefore to develop, apply and critically analyse improved (hybrid) methodologies to integrate expert and local knowledge in existing NRM decision making frameworks. Research is performed on 2 case studies. The SAFE case study deals with the development of a framework for evaluating sustainability levels in agricultural systems in Belgium, while the ALERT case study deals with sustainable management of water resources in semi-arid regions, applied to the Andarax catchment in Spain. The analysis of pro's and contra's of both the technocratic and the pure participatory approaches sets the blueprint for a hybrid decision making framework. Experience shows that decision support is improved when an indicator-based assessment structure is embedded in the participatory approach. This is facilitated through the use of soft operational research techniques. A sound methodology for participatory indicator selection is presented and clear-cut answers to problems with reliability of judgments are provided. The design of different typologies of membership functions is an important step to future deliberation of participatory-based norms. A computerized decision support system (DSS) is developed as it proves to be an important means to deal with increased information and complexity in decision support for NRM. In response to calls for greater collaboration with local actors, the DSS contains different functionalities that are designed to be interactive, while optimal default values ensure basic quality standards. Multi-criteria analysis allows an evaluation of alternatives and scenarios in the hybrid decision making framework. We deal with important choices that have to be made when interpreting spatio-temporal variabilities in management performances and the implications thereof on the final projections towards decision makers. The propagation of uncertainty in the hybrid decision making frameworks is critically evaluated. In order to consider uncertainty in an integrated way, a combined uncertainty/sensitivity analysis is presented. This analysis includes uncertainty related to norms, weights and indicators. Finally, guidelines for communication of the findings towards decision makers are drafted.
- Affiliations
Citations
Van Cauwenbergh, N. (2008). Expert and local knowledge in decision support for natural resource management : analysis of capture and use. https://hdl.handle.net/2078.5/39512