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Environmental Decision-Making and Lake Management

机译:环境决策与湖泊管理

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The way in which individuals and organisations make decisions and the criteria used to define a "good" decision have been an important area of study for a major part of this century. Two aspects of a good decision are good process (how the decision is made) and good outcome (what acutally happens). Social decision-making affecting the environment may have long-term, large scale consequences that often cannot be accurately measured or predicted in advance. Environmental decision-making is characterised by uncertainty as to what will occur, what the impacts will be and what is the chance of occurrence. Decision support may be described as any "data, information, expertise and activities" that assists the decision-maker. Decision support systems combine decision analysis and information modules. A decision support system framework was applied to the management of Lake Ellesmere, a large brackish water lake in Canterbury, New Zealand. The lake is recognised as a wetland of international importance with high cultural and recreational values. Currently, there is limited understanding of ecological processes in the lake. There is also considerable institutional uncertainty. As a result of this combination of factors it was determined that the use of a "soft systems" learning approach to management would be of considerable benefit to present and future decision-makers and managers.
机译:个人和组织做出决策的方式以及定义“好的”决策的标准一直是本世纪大部分时间的重要研究领域。好的决定的两个方面是好的过程(如何做出决定)和好的结果(实际发生的事情)。影响环境的社会决策可能会产生长期的,大规模的后果,而这些后果往往无法事先进行准确的衡量或预测。环境决策的特征在于不确定会发生什么,将产生什么影响以及发生的可能性是什么。决策支持可以描述为有助于决策者的任何“数据,信息,专业知识和活动”。决策支持系统结合了决策分析和信息模块。决策支持系统框架已应用于新西兰坎特伯雷的咸淡水大湖Ellesmere的管理。该湖被认为是具有国际重要意义的湿地,具有很高的文化和娱乐价值。目前,对该湖的生态过程了解有限。在制度上也存在很大的不确定性。由于这些因素的综合作用,已确定使用“软系统”学习方法进行管理将对现在和将来的决策者和管理人员带来巨大的好处。

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