Incorporating complex adaptive systems theory into strategic planning: The Sierra Nevada Conservancy
Incorporating complex adaptive systems theory into strategic planning: The Sierra Nevada Conservancy
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DOI：
10.1080/09640560701712291
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发表时间：
2008-01-01
影响因子：
3.9
通讯作者：
Duane, Timothy P.
中科院分区：
文献类型：
--
作者：
Higgins, Tanya L.;Duane, Timothy P.
保护组织越来越依赖综合规划方法，在追求生态保护的同时明确解决社会和经济目标。此外，这些组织运作的空间和时间规模正在扩大。内华达山脉保护区于 2004 年根据加州立法成立，是一个新的国家机构，旨在在 2500 万英亩的地区追求社会、经济和生态的可持续发展，是这种大规模综合方法的例证。因此，新机构面临着一系列复杂的政策目标，必须在社会、经济和生态条件千差万别的地理环境中追求这些目标。使用保护协会的。本文以资源管理计划领域为例，说明了复杂自适应系统理论的分析框架的应用如何能够指导保护协会比依赖更静态模型的单一、全机构范围的战略更广泛地应用更有效地部署其资源。因此，复杂的自适应系统框架为战略规划提供了希望。本文阐述了如何在次区域和计划层面应用该模型的四阶段周期，以确定针对不同当地条件的机构干预机会。对于面临类似复杂性和挑战的机构来说，这种方法可能会提高计划的有效性。
Conservation organizations rely increasingly on integrated planning approaches that explicitly address social and economic goals while pursuing ecological conservation. Moreover, the spatial and temporal scale at which these organizations operate is growing. The Sierra Nevada Conservancy, established as a new state agency by California legislation in 2004 to pursue social, economic and ecological sustainability across a 25 million acre region, exemplifies this large-scale, integrated approach. Therefore, the new agency faces a complex set of policy objectives that must be pursued across a widely varying geography of social, economic and ecological conditions. Using the Conservancy's. re management program area as an example, the paper illustrates how application of an analytic framework from complex adaptive systems theory can guide the Conservancy to deploy its resources more effectively than broader-scale application of a single, agency-wide strategy relying on a more static model. Therefore, the complex adaptive systems framework offers promise in strategic planning. The paper illustrates how the model's four-stage cycle can be applied at the sub-regional and programmatic level to identify opportunities for agency intervention that address varying local conditions. This approach is likely to increase the effectiveness of programs for agencies facing similar complexities and challenges.