
Mapping a Climate Change Vulnerability Index: An Assessment in Agricultural, Geological and Demographic Sectors across the Districts of Karnataka (India)
Author(s) -
C. Shivakumara,
P. S. S. Murthy
Publication year - 2019
Publication title -
international journal of environment and climate change
Language(s) - English
Resource type - Journals
ISSN - 2581-8627
DOI - 10.9734/ijecc/2019/v9i830130
Subject(s) - vulnerability (computing) , vulnerability index , geography , agriculture , climate change , composite index , index (typography) , vulnerability assessment , socioeconomics , environmental protection , composite indicator , ecology , business , psychological resilience , biology , computer security , archaeology , sociology , world wide web , computer science , financial system , psychology , psychotherapist
Climate change is a continuous phenomenon and over hundreds of years, the atmosphere has changed considerably around the world. Karnataka has the second largest drought prone area in the country next only to Rajasthan. Assessment of vulnerability index could play a major role in designing appropriate mitigation and adaptation policies to overcome the impacts of climate change. The vulnerability assessment is an exhaustive procedure determined by a large number of indicators. This study attempted to capture a picture of composite vulnerability index of different districts of Karnataka by considering agronomic, climatic and demographic indicators. The secondary data on climatic, agronomic and demographic factors were collected from various sources for the year 2017-18. The findings of the study as shown that the average vulnerability index for 30 districts is 0.577 and 16 districts placed above the average composite vulnerability index level. Bidar (0.655) is the most vulnerable district followed by Kolar (0.658) and Yadgir (0.638) districts. Shivamogga (0.440), Davanagere (0.486) and Udupi (0.486) districts exhibit the least vulnerability to changing climate. The results suggest that agricultural and climatic indicators are the major factors which influence vulnerability. So special attention should be given to agricultural and climatic sectors to minimize the impacts of climatic change in the most vulnerable districts.