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Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index

Vulnerability, understood as the propensity to be adversely affected, has attained importance in the context of climate change by helping to understand what makes populations and territories predisposed to its impacts. Conditions of vulnerability may vary depending on the characteristics of each ter...

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Autores principales: Menezes, Júlia Alves, Confalonieri, Ulisses, Madureira, Ana Paula, Duval, Isabela de Brito, dos Santos, Rhavena Barbosa, Margonari, Carina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812563/
https://www.ncbi.nlm.nih.gov/pubmed/29444086
http://dx.doi.org/10.1371/journal.pone.0190808
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author Menezes, Júlia Alves
Confalonieri, Ulisses
Madureira, Ana Paula
Duval, Isabela de Brito
dos Santos, Rhavena Barbosa
Margonari, Carina
author_facet Menezes, Júlia Alves
Confalonieri, Ulisses
Madureira, Ana Paula
Duval, Isabela de Brito
dos Santos, Rhavena Barbosa
Margonari, Carina
author_sort Menezes, Júlia Alves
collection PubMed
description Vulnerability, understood as the propensity to be adversely affected, has attained importance in the context of climate change by helping to understand what makes populations and territories predisposed to its impacts. Conditions of vulnerability may vary depending on the characteristics of each territory studied—social, environmental, infrastructural, public policies, among others. Thus, the present study aimed to evaluate what makes the municipalities of the state of Amazonas, Brazil, vulnerable to climate change in the context of the largest tropical forest in the world, and which regions of the State are the most susceptible. A Municipal Vulnerability Index was developed, which was used to associate current socio-environmental characteristics of municipalities with climate change scenarios in order to identify those that may be most affected by climate change. The results showed that poor adaptive capacity and poverty had the most influence on current vulnerability of the municipalities of Amazonas with the most vulnerable areas being the southern, northern, and eastern regions of the state. When current vulnerability was related to future climate change projections, the most vulnerable areas were the northern, northeastern, extreme southern, and southwestern regions. From a socio-environmental and climatic point of view, these regions should be a priority for public policy efforts to reduce their vulnerability and prepare them to cope with the adverse aspects of climate change.
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spelling pubmed-58125632018-02-28 Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index Menezes, Júlia Alves Confalonieri, Ulisses Madureira, Ana Paula Duval, Isabela de Brito dos Santos, Rhavena Barbosa Margonari, Carina PLoS One Research Article Vulnerability, understood as the propensity to be adversely affected, has attained importance in the context of climate change by helping to understand what makes populations and territories predisposed to its impacts. Conditions of vulnerability may vary depending on the characteristics of each territory studied—social, environmental, infrastructural, public policies, among others. Thus, the present study aimed to evaluate what makes the municipalities of the state of Amazonas, Brazil, vulnerable to climate change in the context of the largest tropical forest in the world, and which regions of the State are the most susceptible. A Municipal Vulnerability Index was developed, which was used to associate current socio-environmental characteristics of municipalities with climate change scenarios in order to identify those that may be most affected by climate change. The results showed that poor adaptive capacity and poverty had the most influence on current vulnerability of the municipalities of Amazonas with the most vulnerable areas being the southern, northern, and eastern regions of the state. When current vulnerability was related to future climate change projections, the most vulnerable areas were the northern, northeastern, extreme southern, and southwestern regions. From a socio-environmental and climatic point of view, these regions should be a priority for public policy efforts to reduce their vulnerability and prepare them to cope with the adverse aspects of climate change. Public Library of Science 2018-02-14 /pmc/articles/PMC5812563/ /pubmed/29444086 http://dx.doi.org/10.1371/journal.pone.0190808 Text en © 2018 Menezes et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Menezes, Júlia Alves
Confalonieri, Ulisses
Madureira, Ana Paula
Duval, Isabela de Brito
dos Santos, Rhavena Barbosa
Margonari, Carina
Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index
title Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index
title_full Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index
title_fullStr Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index
title_full_unstemmed Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index
title_short Mapping human vulnerability to climate change in the Brazilian Amazon: The construction of a municipal vulnerability index
title_sort mapping human vulnerability to climate change in the brazilian amazon: the construction of a municipal vulnerability index
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5812563/
https://www.ncbi.nlm.nih.gov/pubmed/29444086
http://dx.doi.org/10.1371/journal.pone.0190808
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