Local knowledge to support environmental resource management in data-poor regions


Abstract


En
The importance of shared decision-making processes in water management derives from the awareness of the inadequacy of traditional–i.e.engineering–approaches in dealing with complex and ill-structured problems.It is becoming increasingly obvious that traditional problem solving and decision support techniques,based on optimisation and factual knowledge,need to be combined with stakeholder-based policy design and implementation.The aim of our research is the definition of a Community-based Decision Support System (CBDSS),able to facilitate integration of local and scientific knowledge.The system has been applied to support public involvement in the drawing up of the river Idro management plan.

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