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Multiscale analysis of coastal social vulnerability to extreme events in Brazil

Author

Listed:
  • Cibele Oliveira Lima

    (Federal University of Santa Catarina (UFSC))

  • Jarbas Bonetti

    (Federal University of Santa Catarina (UFSC))

  • Tiago Borges Ribeiro Gandra

    (Federal Institute of Education, Science and Technology of Rio Grande do Sul (IFRS))

  • Carla Bonetti

    (Federal University of Santa Catarina (UFSC))

  • Marinez Eymael Garcia Scherer

    (Federal University of Santa Catarina (UFSC))

Abstract

Issues related to prevention and mitigation of extreme events’ impacts, intensified by climate changes, have been receiving progressive attention from the academic community. Impacts are increasingly expensive for the society, particularly in coastal zones, where population growth and concentration of economic activities modify the landscape and alter the natural balance of coastal processes, contributing to increase population’s vulnerability to these events. Considering the growing need to measure the social vulnerability of coastal populations and the lack of studies that focus on the effects of changing spatial scales over vulnerability analysis, this article proposes a methodology for obtaining a multiscale Coastal Social Vulnerability Index to extreme events (SVI-Coast) for 281 municipalities facing the sea in Brazil. The proposed methodology employed data from the most recent available national demographic census (2010), over which descriptive and multivariate statistical techniques were applied, considering three units of spatial aggregation: states, municipalities, and census sectors. Results show that in Brazil there is a tendency for concentration of greater social vulnerabilities in North and Northeast regions and that the key variables responsible for this are income and access to infrastructure, which are underprovided in these regions. This methodology can be replicated on multiple spatial scales, contributing to provide scientific knowledge capable of assisting decision-making by local and regional managers, especially by identifying priority areas, which need urgent actions for mitigation and reduction of coastal social vulnerability.

Suggested Citation

  • Cibele Oliveira Lima & Jarbas Bonetti & Tiago Borges Ribeiro Gandra & Carla Bonetti & Marinez Eymael Garcia Scherer, 2024. "Multiscale analysis of coastal social vulnerability to extreme events in Brazil," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(2), pages 1163-1184, January.
  • Handle: RePEc:spr:nathaz:v:120:y:2024:i:2:d:10.1007_s11069-023-06246-w
    DOI: 10.1007/s11069-023-06246-w
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    References listed on IDEAS

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    1. Besse, Philippe, 1992. "PCA stability and choice of dimensionality," Statistics & Probability Letters, Elsevier, vol. 13(5), pages 405-410, April.
    2. Andrea Saltelli, 2007. "Composite Indicators between Analysis and Advocacy," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 81(1), pages 65-77, March.
    3. George Clark & Susanne Moser & Samuel Ratick & Kirstin Dow & William Meyer & Srinivas Emani & Weigen Jin & Jeanne Kasperson & Roger Kasperson & Harry Schwarz, 1998. "Assessing the Vulnerability of Coastal Communities to Extreme Storms: The Case of Revere, MA., USA," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 3(1), pages 59-82, January.
    4. Cibele Oliveira Lima & Jarbas Bonetti, 2020. "Bibliometric analysis of the scientific production on coastal communities’ social vulnerability to climate change and to the impact of extreme events," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1589-1610, July.
    5. Annalina Sarra & Eugenia Nissi, 2020. "A Spatial Composite Indicator for Human and Ecosystem Well-Being in the Italian Urban Areas," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 148(2), pages 353-377, April.
    6. S. Balica & N. Wright & F. Meulen, 2012. "A flood vulnerability index for coastal cities and its use in assessing climate change impacts," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 73-105, October.
    7. Susan L. Cutter & Bryan J. Boruff & W. Lynn Shirley, 2003. "Social Vulnerability to Environmental Hazards," Social Science Quarterly, Southwestern Social Science Association, vol. 84(2), pages 242-261, June.
    8. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
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