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Application of indicators for identifying climate change vulnerable areas in semi-aridregions of India

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Title Application of indicators for identifying climate change vulnerable areas in semi-aridregions of India
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Creator Suresh Kumar
A. Raizada
H. Biswas
, S. Srinivas ,
Biswajit Mondal
 
Subject Vulnerability index Crop production losses index Climatic variability Sensitive index Adaptive capacity and semi-arid region
 
Description Not Available
This paper aims at assess district-wise vulnerability index of the state of Karnataka State, which is predominantly is rainfed and is highly susceptible to climatic variability. Secondary data on relevant indicators were collected to prepare indices viz., crop production losses, exposure, sensitivity and adaptive capacity. Following normalization
And using appropriate weights for indicators, these four indices were used for
Constructing vulnerability index, which can be used a rapid assessment method for prioritizing districts that need measures to moderate the detrimental impact of climate change. It has been observed that Climatic variability caused higher production losses in cereals, pulses and oilseeds in Davangere, Gulbarga and Raichur districts, respectively.
Districts like Koppal, Raichur, Bijapur Gulbarga, Gadag, Bagalkote and Bellary
were placed under extreme degree of exposure. As per the sensitivity index scores, Kolar district is the most sensitive. Further, Bengaluru (Urban), Dakshin Kannada and Kodagu are ranked first, second and third in terms of adaptive capacity in the state. Overall, vulnerability index scores indicate that Gulbarga, Koppal, Raichur, Bellary, Bagalkote, Bijapur and Belgaum are extremely vulnerable districts in the state. It was also estimated that around 70% of the cultivated area, which supports 60% and 67% of livestock and rural population
of the state, respectively are facing ‘extreme to high’ level of vulnerability. The ranking
based prioritization of the vulnerable areas calls for a holistic approach for each district or a group of districts to reduce their sensitivity, minimize exposure to rainfall variability through implementation of site-specific and leverage adaptive capacity through better health and education facilities, expansion of employment opportunities in other sectors or reducing over dependence on agriculture.
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Date 2020-06-02T11:07:57Z
2020-06-02T11:07:57Z
2016-06-21
 
Type Research Paper
 
Identifier Not Available
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http://krishi.icar.gov.in/jspui/handle/123456789/36794
 
Language English
 
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Publisher Not Available