Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability

Autores
Carrão, Hugo; Naumann, Gustavo; Barbosa, Paulo
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A global map of drought risk has been elaborated at the sub-national administrative level. The motivation for this study is the observation that little research and no concerted efforts have been made at the global level to provide a consistent and equitable drought risk management framework for multiple regions, population groups and economic sectors. Drought risk is assessed for the period 2000-2014 and is based on the product of three independent determinants: hazard, exposure and vulnerability. Drought hazard is derived from a non-parametric analysis of historical precipitation deficits at the 0.5°; drought exposure is based on a non-parametric aggregation of gridded indicators of population and livestock densities, crop cover and water stress; and drought vulnerability is computed as the arithmetic composite of high level factors of social, economic and infrastructural indicators, collected at both the national and sub-national levels. The performance evaluation of the proposed models underlines their statistical robustness and emphasizes an empirical resemblance between the geographic patterns of potential drought impacts and previous results presented in the literature. Our findings support the idea that drought risk is driven by an exponential growth of regional exposure, while hazard and vulnerability exhibit a weaker relationship with the geographic distribution of risk values. Drought risk is lower for remote regions, such as tundras and tropical forests, and higher for populated areas and regions extensively exploited for crop production and livestock farming, such as South-Central Asia, Southeast of South America, Central Europe and Southeast of the United States. As climate change projections foresee an increase of drought frequency and intensity for these regions, then there is an aggravated risk for global food security and potential for civil conflict in the medium- to long-term. Since most agricultural regions show high infrastructural vulnerability to drought, then regional adaptation to climate change may begin through implementing and fostering the widespread use of irrigation and rainwater harvesting systems. In this context, reduction in drought risk may also benefit from diversifying regional economies on different sectors of activity and reducing the dependence of their GDP on agriculture.
Fil: Carrão, Hugo. European Commission. Joint Research Centre; Italia
Fil: Naumann, Gustavo. European Commission. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Barbosa, Paulo. European Commission. Joint Research Centre; Italia
Materia
DROUGHT RISK MANAGEMENT
EXPOSURE
GLOBAL
HAZARD
NON-PARAMETRIC COMPOSITE INDICATORS
VULNERABILITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/59771

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spelling Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerabilityCarrão, HugoNaumann, GustavoBarbosa, PauloDROUGHT RISK MANAGEMENTEXPOSUREGLOBALHAZARDNON-PARAMETRIC COMPOSITE INDICATORSVULNERABILITYhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1A global map of drought risk has been elaborated at the sub-national administrative level. The motivation for this study is the observation that little research and no concerted efforts have been made at the global level to provide a consistent and equitable drought risk management framework for multiple regions, population groups and economic sectors. Drought risk is assessed for the period 2000-2014 and is based on the product of three independent determinants: hazard, exposure and vulnerability. Drought hazard is derived from a non-parametric analysis of historical precipitation deficits at the 0.5°; drought exposure is based on a non-parametric aggregation of gridded indicators of population and livestock densities, crop cover and water stress; and drought vulnerability is computed as the arithmetic composite of high level factors of social, economic and infrastructural indicators, collected at both the national and sub-national levels. The performance evaluation of the proposed models underlines their statistical robustness and emphasizes an empirical resemblance between the geographic patterns of potential drought impacts and previous results presented in the literature. Our findings support the idea that drought risk is driven by an exponential growth of regional exposure, while hazard and vulnerability exhibit a weaker relationship with the geographic distribution of risk values. Drought risk is lower for remote regions, such as tundras and tropical forests, and higher for populated areas and regions extensively exploited for crop production and livestock farming, such as South-Central Asia, Southeast of South America, Central Europe and Southeast of the United States. As climate change projections foresee an increase of drought frequency and intensity for these regions, then there is an aggravated risk for global food security and potential for civil conflict in the medium- to long-term. Since most agricultural regions show high infrastructural vulnerability to drought, then regional adaptation to climate change may begin through implementing and fostering the widespread use of irrigation and rainwater harvesting systems. In this context, reduction in drought risk may also benefit from diversifying regional economies on different sectors of activity and reducing the dependence of their GDP on agriculture.Fil: Carrão, Hugo. European Commission. Joint Research Centre; ItaliaFil: Naumann, Gustavo. European Commission. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Barbosa, Paulo. European Commission. Joint Research Centre; ItaliaElsevier2016-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/59771Carrão, Hugo; Naumann, Gustavo; Barbosa, Paulo; Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability; Elsevier; Global Environmental Change; 39; 7-2016; 108-1240959-3780CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0959378016300565info:eu-repo/semantics/altIdentifier/doi/10.1016/j.gloenvcha.2016.04.012info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:07:18Zoai:ri.conicet.gov.ar:11336/59771instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:07:18.5CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
title Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
spellingShingle Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
Carrão, Hugo
DROUGHT RISK MANAGEMENT
EXPOSURE
GLOBAL
HAZARD
NON-PARAMETRIC COMPOSITE INDICATORS
VULNERABILITY
title_short Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
title_full Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
title_fullStr Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
title_full_unstemmed Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
title_sort Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability
dc.creator.none.fl_str_mv Carrão, Hugo
Naumann, Gustavo
Barbosa, Paulo
author Carrão, Hugo
author_facet Carrão, Hugo
Naumann, Gustavo
Barbosa, Paulo
author_role author
author2 Naumann, Gustavo
Barbosa, Paulo
author2_role author
author
dc.subject.none.fl_str_mv DROUGHT RISK MANAGEMENT
EXPOSURE
GLOBAL
HAZARD
NON-PARAMETRIC COMPOSITE INDICATORS
VULNERABILITY
topic DROUGHT RISK MANAGEMENT
EXPOSURE
GLOBAL
HAZARD
NON-PARAMETRIC COMPOSITE INDICATORS
VULNERABILITY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A global map of drought risk has been elaborated at the sub-national administrative level. The motivation for this study is the observation that little research and no concerted efforts have been made at the global level to provide a consistent and equitable drought risk management framework for multiple regions, population groups and economic sectors. Drought risk is assessed for the period 2000-2014 and is based on the product of three independent determinants: hazard, exposure and vulnerability. Drought hazard is derived from a non-parametric analysis of historical precipitation deficits at the 0.5°; drought exposure is based on a non-parametric aggregation of gridded indicators of population and livestock densities, crop cover and water stress; and drought vulnerability is computed as the arithmetic composite of high level factors of social, economic and infrastructural indicators, collected at both the national and sub-national levels. The performance evaluation of the proposed models underlines their statistical robustness and emphasizes an empirical resemblance between the geographic patterns of potential drought impacts and previous results presented in the literature. Our findings support the idea that drought risk is driven by an exponential growth of regional exposure, while hazard and vulnerability exhibit a weaker relationship with the geographic distribution of risk values. Drought risk is lower for remote regions, such as tundras and tropical forests, and higher for populated areas and regions extensively exploited for crop production and livestock farming, such as South-Central Asia, Southeast of South America, Central Europe and Southeast of the United States. As climate change projections foresee an increase of drought frequency and intensity for these regions, then there is an aggravated risk for global food security and potential for civil conflict in the medium- to long-term. Since most agricultural regions show high infrastructural vulnerability to drought, then regional adaptation to climate change may begin through implementing and fostering the widespread use of irrigation and rainwater harvesting systems. In this context, reduction in drought risk may also benefit from diversifying regional economies on different sectors of activity and reducing the dependence of their GDP on agriculture.
Fil: Carrão, Hugo. European Commission. Joint Research Centre; Italia
Fil: Naumann, Gustavo. European Commission. Joint Research Centre; Italia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Barbosa, Paulo. European Commission. Joint Research Centre; Italia
description A global map of drought risk has been elaborated at the sub-national administrative level. The motivation for this study is the observation that little research and no concerted efforts have been made at the global level to provide a consistent and equitable drought risk management framework for multiple regions, population groups and economic sectors. Drought risk is assessed for the period 2000-2014 and is based on the product of three independent determinants: hazard, exposure and vulnerability. Drought hazard is derived from a non-parametric analysis of historical precipitation deficits at the 0.5°; drought exposure is based on a non-parametric aggregation of gridded indicators of population and livestock densities, crop cover and water stress; and drought vulnerability is computed as the arithmetic composite of high level factors of social, economic and infrastructural indicators, collected at both the national and sub-national levels. The performance evaluation of the proposed models underlines their statistical robustness and emphasizes an empirical resemblance between the geographic patterns of potential drought impacts and previous results presented in the literature. Our findings support the idea that drought risk is driven by an exponential growth of regional exposure, while hazard and vulnerability exhibit a weaker relationship with the geographic distribution of risk values. Drought risk is lower for remote regions, such as tundras and tropical forests, and higher for populated areas and regions extensively exploited for crop production and livestock farming, such as South-Central Asia, Southeast of South America, Central Europe and Southeast of the United States. As climate change projections foresee an increase of drought frequency and intensity for these regions, then there is an aggravated risk for global food security and potential for civil conflict in the medium- to long-term. Since most agricultural regions show high infrastructural vulnerability to drought, then regional adaptation to climate change may begin through implementing and fostering the widespread use of irrigation and rainwater harvesting systems. In this context, reduction in drought risk may also benefit from diversifying regional economies on different sectors of activity and reducing the dependence of their GDP on agriculture.
publishDate 2016
dc.date.none.fl_str_mv 2016-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/59771
Carrão, Hugo; Naumann, Gustavo; Barbosa, Paulo; Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability; Elsevier; Global Environmental Change; 39; 7-2016; 108-124
0959-3780
CONICET Digital
CONICET
url http://hdl.handle.net/11336/59771
identifier_str_mv Carrão, Hugo; Naumann, Gustavo; Barbosa, Paulo; Mapping global patterns of drought risk: An empirical framework based on sub-national estimates of hazard, exposure and vulnerability; Elsevier; Global Environmental Change; 39; 7-2016; 108-124
0959-3780
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0959378016300565
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.gloenvcha.2016.04.012
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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