Adaptive management: Promises and pitfalls
Adaptive management: Promises and pitfalls
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DOI：
10.1007/bf01474647
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发表时间：
1996-07-01
影响因子：
3.5
通讯作者：
Lee, RG
中科院分区：
文献类型：
--
作者：
McLain, RJ;Lee, RG
科学的适应性管理方法的支持者认为，它提高了知识的获取率，增强了政策行为者之间的信息流动，并为建立共同的理解提供了机会。然而，在加拿大新玩法、不列颠哥伦比亚省和哥伦比亚河流域努力实施这一方法的证据表明，这些承诺尚未实现。数据显示，科学的适应性管理过度依赖于使用线性系统模型，折扣非科学形式的知识，并没有充分重视政策过程，促进不同利益相关者之间的共同理解的发展。为了取得成效，新的适应性管理工作需要整合来自多个来源的知识，利用多个系统模型，并支持利益攸关方之间的新形式合作。
Proponents of the scientific adaptive management approach argue that it increases knowledge acquisition rates, enhances information flow among policy actors, and provides opportunities for creating shared understandings. However, evidence from efforts to implement the approach in New Brunswick, British Columbia, Canada, and the Columbia River Basin indicates that these promises have not been met. The data show that scientific adaptive management relies excessively on the use of linear systems models, discounts nonscientific forms of knowledge, and pays inadequate attention to policy processes that promote the development of shared understandings among diverse stakeholders. To be effective, new adaptive management efforts will need to incorporate knowledge from multiple sources, make use of multiple systems models, and support new forms of cooperation among stakeholders.