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'Learning by doing': adaptive planning as a strategy to address uncertainty in planning

机译:“边做边学”:自适应计划作为解决计划不确定性的策略

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Adaptive management, an established method in natural resource and ecosystem management, has not been widely applied to landscape planning due to the lack of an operational method that addresses the role of uncertainty and standardized monitoring protocols and methods. A review of adaptive management literature and practices reveals several key concepts and principles for adaptive planning: (1) management actions are best understood and practiced as experiments; (2) several plans/experiments can be implemented simultaneously; (3) monitoring of management actions are key; and (4) adaptive management can be understood as 'learning by doing'. The paper identifies various uncertainties in landscape planning as the major obstacles for the adoption of an adaptive approach. To address the uncertainty in landscape planning, an adaptive planning method is proposed where monitoring plays an integral role to reduce uncertainty. The proposed method is then applied to a conceptual test in water resource planning addressing abiotic-biotic-cultural resources. To operationalize adaptive planning, it is argued that professionals, stakeholders and researchers need to function in a genuinely transdisciplinary mode where all contribute to, and benefit from, decision making and the continuous generation of new knowledge.
机译:自适应管理是自然资源和生态系统管理中的既定方法,由于缺乏可解决不确定性作用的操作方法以及标准化的监测协议和方法,因此尚未广泛应用于景观规划。对适应性管理文献和实践的回顾揭示了适应性计划的几个关键概念和原则:(1)最好将管理行为作为实验加以理解和实践; (2)可以同时实施多个计划/实验; (3)监控管理行为是关键; (4)适应性管理可以理解为“边做边学”。本文指出景观规划中的各种不确定性是采用自适应方法的主要障碍。为了解决景观规划中的不确定性,提出了一种自适应规划方法,其中监测在减少不确定性中起着不可或缺的作用。然后将提出的方法应用于水资源规划中针对非生物-生物-文化资源的概念测试。为了实施适应性计划,有人认为专业人士,利益相关者和研究人员需要以一种真正的跨学科模式运作,所有这些都有助于决策并不断产生新知识。

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