A GIS based model of rolling easement policies in Pinellas County and Sarasota County, Florida. (November 2016)

• Record Type: Journal Article
• Authors: Nettleman, Charles A.; Abd-Elrahman, Amr; Adams, Damian; Fik, Timothy; Ruppert, Thomas; Barnes, Grenville; Dewitt, Bon
• Is Part Of: Ocean & coastal management. Volume 132(2016)
• Page Start: 143
• Page End: 154
• Publication Date: 2016-11
• Subjects: GIS -- SLR -- Sea level rise -- Python -- Florida -- Modeling -- ArcGIS -- Inundation -- Real property; Marine resources -- Management -- Periodicals; Coastal zone management -- Periodicals; Coastal ecology -- Periodicals; Ressources marines -- Périodiques; Littoral -- Aménagement -- Périodiques; Écologie littorale -- Périodiques; Coastal ecology; Coastal zone management; Marine resources -- Management; Periodicals; Electronic journals; 551.46
• DOI: 10.1016/j.ocecoaman.2016.08.020
• Languages: English
• ISSNs: 0964-5691

Abstract

Abstract: Florida is the fourth most vulnerable coastal state in the USA to sea level rise (SLR). Studies predict that a 1.20 m rise translates into the displacement of almost five million people and destroys about 2.6 million homes. The only solution to reducing the vulnerability of Florida's coastline is the creation and implementation of coastal policies, including a reduction in armoring and the adoption of policies such as rolling easements. This paper advances a SLR inundation computer model that estimates the costs of applying rolling easement policy through three outcomes: property value loss, property area loss and conservation easement payments to home owners. The GIS computer model is modular which allows new policy components, datasets, or ArcGIS tools to easily be added to the model. The results show that property land inundation and real property losses are primarily linear while rolling easement compensation payments are substantial during the first three scenarios then are largely stable for the remaining SLR steps. Graphical abstract: Highlights: In Florida, a 1.20 m rise translates into the displacement of almost five million people and destroys about 2.6 million homes. A modular GIS model was created to explore the effects of sea level rise on Florida given different policy scenarios. The models show that property land inundation and real property losses are linear while rolling easement payments vary.