Using Public Participation Geographic Information Systems (PPGIS) to Identify Valued Landscapes Vulnerable to Sea Level Rise
Wayde C. Morse,
Cody Cox and
Christopher J. Anderson
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Wayde C. Morse: School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
Cody Cox: Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA 30602, USA
Christopher J. Anderson: School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
Sustainability, 2020, vol. 12, issue 17, 1-34
Abstract:
The U.S. Gulf of Mexico coast has a long history of intense and varied development, from energy infrastructure and seaports to vacation homes and tourism. Coastal populations and development are growing. Concurrently, global climate change will influence sea level rise, resulting in increased flooding, storm surge, and coastal erosion. Regional planners must prepare for sea level rise and develop adaptive solutions to maximize resiliency. Comprehensive coastal vulnerability mapping assessments (CVMA) can integrate social, economic, and physical vulnerability with spatial analysis of natural hazards for local place-based investigations. Public Participation Geographic Information Systems (PPGIS) are a potentially important tool for the spatial collection of stakeholder knowledge for CVMA. The objective of this study was to assess the locations of a range of landscape values, ecosystem services, and development preferences held and identified by the general public using PPGIS to determine if those valued locations are vulnerable to sea level rise. We found that PPGIS can be used to map a wide variety of landscape values and that they can be used to assess vulnerability to sea level rise. We conclude with a discussion on how to integrate PPGIS into participatory CVMA for sea level rise planning.
Keywords: coast; vulnerability; mapping; PPGIS; sea level rise (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:12:y:2020:i:17:p:6711-:d:401010
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