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Assessing local vulnerability to climate change in Ecuador

Vulnerability assessments have become necessary to increase the understanding of climate-sensitive systems and inform resource allocation in developing countries. Challenges arise when poor economic and social development combines with heterogeneous climatic conditions. Thus, finding and harmonizing...

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Detalles Bibliográficos
Autores principales: Fernandez, Mario Andres, Bucaram, Santiago J., Renteria, Willington
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4661167/
https://www.ncbi.nlm.nih.gov/pubmed/26640750
http://dx.doi.org/10.1186/s40064-015-1536-z
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author Fernandez, Mario Andres
Bucaram, Santiago J.
Renteria, Willington
author_facet Fernandez, Mario Andres
Bucaram, Santiago J.
Renteria, Willington
author_sort Fernandez, Mario Andres
collection PubMed
description Vulnerability assessments have become necessary to increase the understanding of climate-sensitive systems and inform resource allocation in developing countries. Challenges arise when poor economic and social development combines with heterogeneous climatic conditions. Thus, finding and harmonizing good-quality data at local scale may be a significant hurdle for vulnerability research. In this paper we assess vulnerability to climate change at a local level in Ecuador. We take Ecuador as a case study as socioeconomic data are readily available. To incorporate the spatial and temporal pattern of the climatic variables we use reanalysis datasets and empirical orthogonal functions. Our assessment strategy relies on the statistical behavior of climatic and socioeconomic indicators for the weighting and aggregation mechanism into a composite vulnerability indicator. Rather than assuming equal contribution to the formation of the composite indicator, we assume that the weights of the indicators vary inversely as the variance over the cantons (administrative division of Ecuador). This approach captures the multi-dimensionality of vulnerability in a comprehensive form. We find that the least vulnerable cantons concentrate around Ecuador’s largest cities (e.g. Quito and Guayaquil); however, approximately 20 % of the national population lives in other cantons that are categorized as highly and very highly vulnerable to climate change. Results also show that the main determinants of high vulnerability are the lack of land tenure in agricultural areas and the nonexistence of government-funded programs directed to environmental and climate change management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40064-015-1536-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-46611672015-12-04 Assessing local vulnerability to climate change in Ecuador Fernandez, Mario Andres Bucaram, Santiago J. Renteria, Willington Springerplus Research Vulnerability assessments have become necessary to increase the understanding of climate-sensitive systems and inform resource allocation in developing countries. Challenges arise when poor economic and social development combines with heterogeneous climatic conditions. Thus, finding and harmonizing good-quality data at local scale may be a significant hurdle for vulnerability research. In this paper we assess vulnerability to climate change at a local level in Ecuador. We take Ecuador as a case study as socioeconomic data are readily available. To incorporate the spatial and temporal pattern of the climatic variables we use reanalysis datasets and empirical orthogonal functions. Our assessment strategy relies on the statistical behavior of climatic and socioeconomic indicators for the weighting and aggregation mechanism into a composite vulnerability indicator. Rather than assuming equal contribution to the formation of the composite indicator, we assume that the weights of the indicators vary inversely as the variance over the cantons (administrative division of Ecuador). This approach captures the multi-dimensionality of vulnerability in a comprehensive form. We find that the least vulnerable cantons concentrate around Ecuador’s largest cities (e.g. Quito and Guayaquil); however, approximately 20 % of the national population lives in other cantons that are categorized as highly and very highly vulnerable to climate change. Results also show that the main determinants of high vulnerability are the lack of land tenure in agricultural areas and the nonexistence of government-funded programs directed to environmental and climate change management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s40064-015-1536-z) contains supplementary material, which is available to authorized users. Springer International Publishing 2015-11-26 /pmc/articles/PMC4661167/ /pubmed/26640750 http://dx.doi.org/10.1186/s40064-015-1536-z Text en © Fernandez et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Fernandez, Mario Andres
Bucaram, Santiago J.
Renteria, Willington
Assessing local vulnerability to climate change in Ecuador
title Assessing local vulnerability to climate change in Ecuador
title_full Assessing local vulnerability to climate change in Ecuador
title_fullStr Assessing local vulnerability to climate change in Ecuador
title_full_unstemmed Assessing local vulnerability to climate change in Ecuador
title_short Assessing local vulnerability to climate change in Ecuador
title_sort assessing local vulnerability to climate change in ecuador
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4661167/
https://www.ncbi.nlm.nih.gov/pubmed/26640750
http://dx.doi.org/10.1186/s40064-015-1536-z
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