4.7 Article

Optimizing historic preservation under climate change: Decision support for cultural resource adaptation planning in national parks

Journal

LAND USE POLICY
Volume 83, Issue -, Pages 379-389

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.landusepol.2019.02.011

Keywords

Climate adaptation; Cultural resource management; Historic preservation; Optimization model; National park; Decision analysis

Funding

  1. U.S. Geological Survey through the National Climate Change and Wildlife Science Center
  2. Department of Interior Southeast Climate Adaptation Science Center [G15AP00141]
  3. National Park Service Climate Change Response Program through U.S. Department of Interior Inter-Agency [P17PG00197]

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Climate change poses great challenges for cultural resource management, particularly in coastal areas. Cultural resources, such as historic buildings, in coastal areas are vulnerable to climate impacts including inundation, deterioration, and destruction from sea-level rise and storm-related flooding and erosion. However, research that assesses the trade-offs between actions for protecting vulnerable and valuable cultural resources under budgetary constraints is limited. This study focused on developing a decision support model for managing historic buildings at Cape Lookout National Seashore. We designed the Optimal Preservation Decision Support (OptiPres) model to: (a) identify optimal, annual adaptation actions for historic buildings across a 30-year planning horizon, (b) quantify trade-offs between different actions and the timing of adaptation actions under constrained budgets, and (c) estimate the effectiveness of budget allocations on the resource value of historic buildings. Our analysis of the model suggests that: (1) funding allocation thresholds may exist for national parks to maintain the historical significance and use potential of historic buildings under climate change, (2) the quantitative assessment of trade-offs among alternative adaptation actions provides generalizable guidance for decision makers about the dynamics of their managed system, and (3) the OptiPres model can identify cost-efficient approaches to allocate funding to maintain the historical value of buildings vulnerable to the effects of climate change. Therefore, the OptiPres model, while not designed as a prescriptive decision tool, allows managers to understand the consequences of proposed adaptation actions. The OptiPres model can guide park managers to make cost-effective climate adaptation decisions for historic buildings more transparently and robustly.

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