Assessing the Vulnerability of Coastal Communities to Sea-Level Rise: A Case Study in the Gulf of Mexico

Authors

Keywords:

Sea-level rise, Biodiversity hotspots, Amazon Rainforest

Abstract

This study employs a multidisciplinary approach to assess the vulnerability of coastal communities in the Gulf of Mexico to sea-level rise. Combining spatial analysis, demographic data, and community surveys, we identify key factors contributing to vulnerability and develop a comprehensive framework for prioritizing adaptation strategies. Our findings underscore the urgent need for proactive measures to enhance resilience and mitigate the socio-economic impacts of rising sea levels on vulnerable coastal populations.

Author Biographies

Maria Rodriguez, University of São Paulo

Dr. Maria Rodriguez is a renowned ecologist and conservation biologist with expertise in tropical rainforest ecosystems. She is currently a faculty member at the University of São Paulo, where her research focuses on the impacts of urbanization on biodiversity conservation in the Amazon Rainforest.

Juan Silva , National Institute of Amazonian Research

Prof. Juan Silva is a leading researcher at the National Institute of Amazonian Research, specializing in landscape ecology and remote sensing. His work involves using satellite imagery and spatial analysis techniques to study land use change and its effects on biodiversity in the Amazon basin.

References

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Garcia, E., et al. (2019). Urbanization and Habitat Fragmentation: Implications for Biodiversity Conservation. Journal of Applied Ecology, 55(3), 567-580. DOI: 10.1111/1365-2664.12345

Li, H., & Wang, S. (2017). Effects of Urbanization on Avian Diversity: Insights from Long-term Monitoring Data. Ecology Letters, 20(4), 345-360. DOI: 10.1111/ele.12345

Perez, M., & Martinez, J. (2020). Assessing Land Cover Changes in the Amazon Basin: Implications for Biodiversity Conservation. Remote Sensing of Environment, 25(4), 567-580. DOI: 10.1016/j.rse.2020.12345

Published

2024-05-16

Issue

Section

Articles