Combining Co$ting Nature and Suitability Modeling to Identify High Flood Risk Areas in Need of Nature-Based Services

Sara Prybutok, Galen Newman, Kayode Atoba, Garett Sansom and Zhihan Tao
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Sara Prybutok: Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA
Galen Newman: Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA
Kayode Atoba: Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77554, USA
Garett Sansom: Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA
Zhihan Tao: Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA

Land, 2021, vol. 10, issue 8, 1-12

Abstract: Coastal areas are often subject to the severe consequences of flooding from intense storms or hurricanes. Increases in coastal development have amplified both flooding intensity and negative impacts for coastal communities. Reductions in pervious land cover and replacement with impervious ones have reduced the amount of ecosystem services. This research examines the services provided by nature-based solutions by applying outputs from Co$ting Nature models into suitability models to quantify ecosystem services along the Texas Coast. Results show that only around 13% of the Houston-Galveston coastal area has relatively high NBS, and nearly ¼ of the area shows relatively low NBS. The majority of the areas lie in the middle, which, due to increases in development, are at particular risk for becoming areas offering low NBS in the future if not treated. Such vulnerability assessment informs future implementation strategies for NBS in coastal communities to protect people and property from flooding.

Keywords: resilience; geographic information systems; green infrastructure; flood risk; spatial analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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