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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Erin Seekamp</dc:contributor>
  <dc:contributor>Max Post van der Burg</dc:contributor>
  <dc:contributor>Mitchell J. Eaton</dc:contributor>
  <dc:contributor>Sandra Fatoric</dc:contributor>
  <dc:contributor>Allie McCreary</dc:contributor>
  <dc:creator>Xiao Xiao</dc:creator>
  <dc:date>2019</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Climate change&amp;nbsp;poses great challenges for&amp;nbsp;cultural resource&amp;nbsp;management, particularly in coastal areas. Cultural resources, such as&amp;nbsp;historic buildings, in coastal areas are vulnerable to&amp;nbsp;climate impacts&amp;nbsp;including inundation,&amp;nbsp;&lt;/span&gt;deterioration&lt;span&gt;, and destruction from&amp;nbsp;sea-level&amp;nbsp;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&amp;nbsp;allocations&amp;nbsp;on the resource value of historic buildings. Our analysis of the model suggests that: (1) funding allocation thresholds may exist for&amp;nbsp;national parks&amp;nbsp;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.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/j.landusepol.2019.02.011</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>Optimizing historic preservation under climate change: Decision support for cultural resource adaptation planning in national parks</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>