An assessment of social vulnerability to climate change among the districts of Arunachal Pradesh, India

The present study highlighted the state of climate change induced social vulnerability of the districts of Arunachal Pradesh. For the purpose of assessment of one of the most fragile ecosystems of the eastern Himalaya, the ‘Integrated Vulnerability Assessment Approach’ and IPCC’s definition of vulne...

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Bibliographic Details
Published in:	Ecological indicators Vol. 77; pp. 105 - 113
Main Authors:	Maiti, Sanjit, Jha, Sujeet Kumar, Garai, Sanchita, Nag, Arindam, Bera, A.K., Paul, Vijay, Upadhaya, R.C., Deb, S.M.
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-06-2017
Subjects:	Adaptive capacity Arunachal Pradesh Eastern Himalaya Exposure Sensitivity Vulnerability to climate change Arunachal Pradesh Vulnerability to climate change Sensitivity Exposure Eastern Himalaya Adaptive capacity
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Summary:	The present study highlighted the state of climate change induced social vulnerability of the districts of Arunachal Pradesh. For the purpose of assessment of one of the most fragile ecosystems of the eastern Himalaya, the ‘Integrated Vulnerability Assessment Approach’ and IPCC’s definition of vulnerability were utilized. The assessment was based on various secondary data, like socio-economic and biophysical indicators, collected from several authenticated sources; and the respective weightage of these indicators was assigned by using ‘Principal Component Analysis’. Vulnerability was calculated as the net effect of exposure and sensitivity on the adaptive capacity. Anjaw district of eastern Arunachal Pradesh was found to be the most vulnerable district, while Tawang district of western Arunachal Pradesh happened to be the least vulnerable. This net effect was found negative in 7 out of 12 districts viz. Anjaw, Upper Siang, West Siang, Lower Dibang Valley, East Siang, East Kameng and Kurung Kurmey. This net negative effect could be construed as an alarming situation.
ISSN:	1470-160X 1872-7034
DOI:	10.1016/j.ecolind.2017.02.006