Multi-scale vulnerability assessment for adaptation planning

cg.contacttashina.esteves@gmail.comen_US
cg.contributor.centerIndian Institute of Science, Center for Sustainable Technologies - iISC- CSTen_US
cg.contributor.centerIndian Institute of Science - IISCen_US
cg.contributor.centerInstitute for Social and Economic Change - ISECen_US
cg.contributor.centerPondicherry Universityen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.coverage.countryINen_US
cg.coverage.regionSouthern Asiaen_US
cg.date.embargo-end-date2017-03-31en_US
cg.isijournalISI Journalen_US
cg.issn0011-3891en_US
cg.issue7en_US
cg.journalCurrent Scienceen_US
cg.volume110en_US
dc.contributorRavindranath, Darshinien_US
dc.contributorBeddamatta, Satyasibaen_US
dc.contributorRaju, KVen_US
dc.contributorSharma, Jagmohanen_US
dc.contributorBala, G.en_US
dc.contributorMurthy, Indu K.en_US
dc.creatorEsteves, Tashinaen_US
dc.date.accessioned2017-02-08T22:59:57Z
dc.date.available2017-02-08T22:59:57Z
dc.description.abstractVulnerability of communities and natural ecosystems, to potential impacts of climate change in developing countries like India, and the need for adaptation are rapidly emerging as central issues in the debate around policy responses to climate change. The present study presents an approach to identify and prioritize the most vulnerable districts, villages and households in Karnataka State, through a multi-scale assessment of inherent vulnerability to current climate variability. It also identifies the drivers of inherent vulnerability, thereby providing a tool for developing and mainstreaming adaptation strategies, in ongoing developmental or dedicated adaptation programmes. The multi-scale assessment was made for all 30 districts at the state level in Karnataka, about 1220 villages in Chikballapur district, and at the household level for two villages – Gundlapalli and Saddapalli – in Bagepalli taluk of Chikballapur district. At the district, village and household levels, low levels of education and skills are the dominant factors contributing to vulnerability. At the village and household level, the lack of income diversification and livelihood support institutions are key drivers of vulnerability. The approach of multi-scale vulnerability assessment facilitates identification and prioritization of the drivers of vulnerability at different scales, to focus adaptation interventions to address these drivers.en_US
dc.formatPDFen_US
dc.identifierhttp://oar.icrisat.org/id/eprint/9428; http://www.currentscience.ac.in/cs/index.phpen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/XQflWMZS/v/9197df4fc4bece6b4a880cca2784abe1en_US
dc.identifier.citationTashina Esteves, Darshini Ravindranath, Satyasiba Beddamatta, KV Raju, Jagmohan Sharma, G. Bala, Indu K. Murthy. (10/4/2016). Multi-scale vulnerability assessment for adaptation planning. Current Science, 110(7), pp. 1225-1239.en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5591
dc.languageenen_US
dc.publisherIndian Academy of Sciencesen_US
dc.rightsCC-BY-NC-4.0en_US
dc.sourceCurrent Science;110,(2016) Pagination 1225,1239en_US
dc.subjectcoping strategiesen_US
dc.subjectinherent vulnerabilityen_US
dc.subjectmulti-scale assessmenten_US
dc.subjectclimate variabilityen_US
dc.subjectadoptionen_US
dc.titleMulti-scale vulnerability assessment for adaptation planningen_US
dc.typeJournal Articleen_US
dcterms.available2016-04-10en_US
dcterms.extent1225-1239en_US
mel.impact-factor0.967en_US

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