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Caribbean climate change vulnerability : lessons from an aggregate index approach

LicenciaThis is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.es
AutorStennett-Brown, Roxann K.
AutorStephenson, Tannecia S.
AutorTaylor, Michael A.
Fecha de admisión2024-10-26T16:16:55Z
Fecha disponible2024-10-26T16:16:55Z
Año2019
CitaciónStennett-Brown, R. K., Stephenson, T. S., & Taylor, M. A. (2019). Caribbean climate change vulnerability: Lessons from an aggregate index approach. PloS one, 14(7), e0219250. Recuperado de:es
URIhttps://bvearmb.do/handle/123456789/5314
SinopsisThe study examines the potential influence of sub-regional variations in climate, and specifically heavy rain events, in determining relative vulnerabilities of locations in twelve Caribbean countries. An aggregate vulnerability index, referred to as the Caribbean Vulnerability Score (CVS), is created using historical demographic and socioeconomic data and climate data representing extreme rain events. Four scenarios are explored.es
IdiomaEnglishes
PublicadoPloS one, 14(7), e0219250es
Derechos© 2019 Stennett-Brown et al. Available at: https://journals.plos.org/es
URI de derechoshttps://creativecommons.org/licenses/by/4.0/es
MateriaCambio climáticoes
MateriaImpacto ambientales
TítuloCaribbean climate change vulnerability : lessons from an aggregate index approaches
Tipo de materialArticlees
Tipo de contenidoScientific researches
AccesoOpenes
AudienciaTechnicians, professionals and scientistses


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This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
La consulta y descarga de este documento están sujetas a esta licencia: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
© 2019 Stennett-Brown et al. Available at: https://journals.plos.org/