期刊
CLIMATE RISK MANAGEMENT
卷 17, 期 -, 页码 78-91出版社
ELSEVIER
DOI: 10.1016/j.crm.2017.07.002
关键词
Adaptive management; Climate change adaptation; Management decision making; Quantitative simulation modeling; Scenario planning; Wind Cave National Park
资金
- U.S. Geological Survey
- U.S. National Park Service
- Department of the Interior North Central Climate Science Center
Scenario planning helps managers incorporate climate change into their natural resource decision making through a structured what-if process of identifying key uncertainties and potential impacts and responses. Although qualitative scenarios, in which ecosystem responses to climate change are derived via expert opinion, often suffice for managers to begin addressing climate change in their planning, this approach may face limits in resolving the responses of complex systems to altered climate conditions. In addition, this approach may fall short of the scientific credibility managers often require to take actions that differ from current practice. Quantitative simulation modeling of ecosystem response to climate conditions and management actions can provide this credibility, but its utility is limited unless the modeling addresses the most impactful and management-relevant uncertainties and incorporates realistic management actions. We use a case study to compare and contrast management implications derived from qualitative scenario narratives and from scenarios supported by quantitative simulations. We then describe an analytical framework that refines the case study's integrated approach in order to improve applicability of results to management decisions. The case study illustrates the value of an integrated approach for identifying counterintuitive system dynamics, refining understanding of complex relationships, clarifying the magnitude and timing of changes, identifying and checking the validity of assumptions about resource responses to climate, and refining management directions. Our proposed analytical framework retains qualitative scenario planning as a core element because its participatory approach builds understanding for both managers and scientists, lays the groundwork to focus quantitative simulations on key system dynamics, and clarifies the challenges that subsequent decision making must address.
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