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Linking science with environmental decision making: Experiences from an integrated modeling approach to supporting sustainable water resources management

机译:将科学与环境决策联系起来:从集成建模方法到支持可持续水资源管理的经验

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摘要

The call for more effective integration of science and decision making is ubiquitous in environmental management. While scientists often complain that their input is ignored by decision makers, the latter have also expressed dissatisfaction that critical information for their decision making is often not readily available or accessible to them, or not presented in a usable form. It has been suggested that scientists need to produce more "usable" information with enhanced credibility, legitimacy, and saliency to ensure the adoption of research results. In basin-scale management of coupled human-water systems, water resources managers, like other decision makers, are frequently confronted with the need to make major decisions in the face of high system complexity and uncertainty. The integration of useful and relevant scientific information is necessary and critical to enable informed decision-making. This paper describes the main aspects of what has been learned in the process of supporting sustainable water resources planning and management in the semi-arid southwestern United States by means of integrated modeling. Our experience indicates that particular attention must be paid to the proper definition of focus questions, explicit conceptual modeling, a suitable modeling strategy, and a formal scenario analysis approach in order to facilitate the development of "usable" scientific information. We believe that these lessons and insights can be useful to other scientific efforts in the broader area of linking environmental science with decision making.
机译:在环境管理中,普遍要求进行科学和决策的更有效整合。尽管科学家经常抱怨决策者会忽略他们的意见,但决策者也表示不满意,他们决策的关键信息通常不易获得或无法获得,也无法以可用的形式呈现。已经提出,科学家需要产生具有增强的可信度,合法性和显着性的更多“可用”信息,以确保采用研究结果。在耦合的人类水系统的流域规模管理中,与其他决策者一样,水资源管理者经常面临着面对系统高度复杂和不确定性做出重大决策的需求。整合有用和相关的科学信息对于进行明智的决策是必要且至关重要的。本文介绍了在美国西南部半干旱地区通过集成建模来支持可持续水资源规划和管理过程中所学到的主要知识。我们的经验表明,必须特别注意焦点问题的正确定义,明确的概念建模,适当的建模策略以及正式的情景分析方法,以促进“可用”科学信息的发展。我们相信,这些教训和见解对于将环境科学与决策联系起来的更广泛领域中的其他科学工作可能很有用。

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