Articles | Volume 26, issue 6
https://doi.org/10.5194/nhess-26-2487-2026
https://doi.org/10.5194/nhess-26-2487-2026
Research article
 | 
03 Jun 2026
Research article |  | 03 Jun 2026

Morphological response of vegetated and urbanized barrier islands to Hurricane Ian

Hassan Ilyas, Ap van Dongeren, Dano Roelvink, Ellen Quataert, and Christopher Daly

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Cited articles

Almeida, L. P., Vousdoukas, M. V., Ferreira, Ó., Rodrigues, B. A., and Matias, A.: Thresholds for storm impacts on an exposed sandy coastal area in southern Portugal, Geomorphology, 143–144, 3–12, https://doi.org/10.1016/j.geomorph.2011.04.047, 2012. 
Bhatt, D., Savarese, M., Hewitt, N. S., Gross, A. M., and Wilder, J.: REVEALING THE GEOMORPHOLOGIC IMPACTS OF HURRICANE IAN IN SOUTHWEST FLORIDA USING GEOSPATIAL TECHNOLOGY, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-M-3-2023, 43–48, https://doi.org/10.5194/isprs-archives-XLVIII-M-3-2023-43-2023, 2023. 
Bucci, L., Alaka, L., Hagen, A., Delgado, S., and Beven, J.: National Hurricane Center tropical cyclone report: Hurricane Ian (AL092022), NOAA National Hurricane Center, 72 pp., https://www.nhc.noaa.gov/data/tcr/AL092022_Ian.pdf(last access: 1 March 2025), 2023. 
De Vet, P. L. M., McCall, R. T., Den Bieman, J. P., Stive, M. J. F., and Van Ormondt, M.: Modelling dune erosion, overwash and breaching at Fire Island (NY) during Hurricane Sandy, in: Proc. Coastal Sediments 2015, San Diego, USA, July 2015, https://doi.org/10.1142/9789814689977_0006, 2015. 
Doyle, J., Hodur, R., Chen, S., Jin, Y., Msokaitis, J., Wang, S., Hendricks, E., Jin, J., and Smith, T.: Tropical cyclone prediction using COAMPS-TC, Oceanography, 27, 104–115, https://doi.org/10.5670/oceanog.2014.72, 2014. 
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Short summary
This research investigates how natural and urbanized barrier islands along Florida’s coast responded to Hurricane Ian. It shows how vegetation and the built environment influence sediment transport during extreme storms and highlights the importance of incorporating land use and land cover data into models to predict coastal response and evaluate how vegetation can enhance resilience to future climatic events.
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