KRISHI
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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/64030
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Elizabeth James,Harsha | - |
dc.contributor.author | Rahman,M Ramees | - |
dc.contributor.author | Safeena,P K | - |
dc.contributor.author | Remya,R | - |
dc.contributor.author | Narayanakumar,R | - |
dc.contributor.author | Shyam,S Salim | - |
dc.date.accessioned | 2021-09-17T09:00:32Z | - |
dc.date.available | 2021-09-17T09:00:32Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Not Available | - |
dc.identifier.issn | 2231–4784 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/64030 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Climate change, a global challenge facing mankind necessitates governments to develop mitigation and adaptation plans. The climate change has multidimensional impacts on environment, fishery, social, economic and development drivers. Climate change hot spots –can be defined as the ‘live labs’ where the manifestation of the climate change impacts is observed “first”. The South west India has been recognised as one among the twenty four hot spot regions identified globally. The present paper assessed the climate change vulnerability of over 800 fisher households in two major fishing villages of Kerala from the south west hotspot regions of India. Exposure (E), Sensitivity (S) and Adaptive Capacity (AC) are the pertinent factors that determine the vulnerability of households which were captured using a structured household questionnaire. One ninety eight indicators were identified in the construction of vulnerability indices of which 37 related to sensitivity, 36 related to exposure and the other 125 indicators dealt with adaptive capacity. The overall vulnerability of the regions was assessed and the analysis revealed that the Poonthura village of Kerala was more vulnerable when compared to Elamkunnapuzha. The coastal population on their vulnerability scores were categorised into low, moderate, high and very high based on score values and geo-spatial analysis was attempted. The results revealed that majority of fisher households in both villages were highly vulnerable to climate change, which is a major cause of concern. The study advocates the need for a bottom up approach with the proactive participation of the fishers in developing location specific adaptation and mitigation plans to ensure the livelihood of the fishers and the sustainable development of the fisheries sector in the climate change regime. | en_US] |
dc.description.sponsorship | Not Available | - |
dc.language.iso | English | - |
dc.publisher | Not Available | en_US |
dc.relation.ispartofseries | Not Available | - |
dc.subject | Climate change | en_US |
dc.subject | hot spot | en_US |
dc.subject | vulnerability | en_US |
dc.subject | geo-spatial | en_US |
dc.subject | sustainable development. | en_US |
dc.title | Climate Change Impacts on Livelihood Vulnerability Assessment-Adaptation and Mitigation Options in Marine Hot Spots in Kerala, India | en_US |
dc.title.alternative | Not Available | - |
dc.type | Article | en_US |
dc.publication.projectcode | Not Available | - |
dc.publication.journalname | International Journal of Environment and Climate Change (Previously known as British Journal of Environment & Climate Change) | - |
dc.publication.volumeno | 8 | - |
dc.publication.pagenumber | 180-199 | - |
dc.publication.divisionUnit | Not Available | - |
dc.publication.sourceUrl | http://www.sciencedomain.org/abstract/26110 | - |
dc.publication.sourceUrl | http://eprints.cmfri.org.in/13017/1/Shyam S Salim_2018_International Journal of Environment and Climate Change.pdf | - |
dc.publication.authorAffiliation | Not Available | - |
dc.ICARdataUseLicence | Not Available | en_US |
dc.publication.submitter | krishi.admin2@icar.gov.in | - |
Appears in Collections: | FS-CMFRI-Publication |
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