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Socio-climatic hotspots in Brazil: how do changes driven by the new set of IPCC climatic projections affect their relevance for policy?

dc.contributor.authorFilho, João Paulo Darela [UNESP]
dc.contributor.authorLapola, David M. [UNESP]
dc.contributor.authorTorres, Roger R.
dc.contributor.authorLemos, Maria Carmen
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFederal University of Itajubá (IRN/UNIFEI)
dc.contributor.institutionUniversity of Michigan
dc.date.accessioned2018-12-11T16:41:20Z
dc.date.available2018-12-11T16:41:20Z
dc.date.issued2016-06-01
dc.description.abstractThis paper updates the SCVI (Socio-Climatic Vulnerability Index) maps developed by Torres et al. (2012) for Brazil, by using the new Coupled Model Intercomparison Project Phase 5 (CMIP5) projections and more recent 2010 social indicators data. The updated maps differ significantly from their earlier versions in two main ways. First, they show that heavily populated metropolitan areas – namely Belo Horizonte, Brasília, Salvador, Manaus, Rio de Janeiro and São Paulo – and a large swath of land across the states of São Paulo, Minas Gerais and Bahia now have the highest SCVI values, that is, their populations are the most vulnerable to climate change in the country. Second, SCVI values for Northeast Brazil are considerably lower compared to the previous index version. An analysis of the causes of such difference reveals that changes in climate projections between CMIP3 and CMIP5 are responsible for most of the change between the different SCVI values and spatial distribution, while changes in social indicators have less influence, despite recent countrywide improvements in social indicators as a result of aggressive anti-poverty programs. These results raise the hypothesis that social reform alone may not be enough to decrease people’s vulnerability to future climatic changes. Whereas the coarse spatial resolution and relatively simplistic formulation of the SCVI may limit how useful these maps are at informing decision-making at the local level, they can provide a valuable input for large-scale policies on climate change adaptation such as those of the Brazilian National Policy on Climate Change Adaptation.en
dc.description.affiliationEarth System Science Laboratory Department of Ecology São Paulo State University – UNESP
dc.description.affiliationNatural Resources Institute Federal University of Itajubá (IRN/UNIFEI)
dc.description.affiliationSchool of Natural Resources and Environment University of Michigan
dc.description.affiliationUnespEarth System Science Laboratory Department of Ecology São Paulo State University – UNESP
dc.format.extent413-425
dc.identifierhttp://dx.doi.org/10.1007/s10584-016-1635-z
dc.identifier.citationClimatic Change, v. 136, n. 3-4, p. 413-425, 2016.
dc.identifier.doi10.1007/s10584-016-1635-z
dc.identifier.file2-s2.0-84960090519.pdf
dc.identifier.issn1573-1480
dc.identifier.issn0165-0009
dc.identifier.scopus2-s2.0-84960090519
dc.identifier.urihttp://hdl.handle.net/11449/168452
dc.language.isoeng
dc.relation.ispartofClimatic Change
dc.relation.ispartofsjr2,035
dc.relation.ispartofsjr2,035
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleSocio-climatic hotspots in Brazil: how do changes driven by the new set of IPCC climatic projections affect their relevance for policy?en
dc.typeArtigo
dspace.entity.typePublication
unesp.author.orcid0000-0002-0277-0370[1]

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