2013
DOI: 10.1007/s10584-013-0698-3
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An assessment of regional vulnerability of rice to climate change in India

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Cited by 102 publications
(42 citation statements)
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“…A systematic review of simulation models by Mall, Singh, Gupta, Srinivasan, and Rathore () shows a clear deterioration in yields of principal cereal crops such as maize, wheat, and rice under weather change. Soora et al () studied the effect of climatic factors on regional rice production of the 21st Century in India. They reported that the rice yield of rainfed in India is probable to be declined 6% in the 2020s scenario.…”
Section: Review Of Literaturementioning
confidence: 99%
“…A systematic review of simulation models by Mall, Singh, Gupta, Srinivasan, and Rathore () shows a clear deterioration in yields of principal cereal crops such as maize, wheat, and rice under weather change. Soora et al () studied the effect of climatic factors on regional rice production of the 21st Century in India. They reported that the rice yield of rainfed in India is probable to be declined 6% in the 2020s scenario.…”
Section: Review Of Literaturementioning
confidence: 99%
“…Surprisingly, very few studies over India have been focused on understanding the land-atmospheric nexus of agriculture, climate, hydrology and socioeconomics. For example, a study by Soora et al [18] used the InfoCrop-Rice model to identify the vulnerable regions for irrigated and rainfed rice cultivation, and further quantified the impacts and adaptations associated with future climatic scenarios in India. Nonetheless, this study primarily attempted to associate the response of crop yield to climate variables for estimating vulnerabilities and less emphasized on regional socio-economics.…”
Section: Introductionmentioning
confidence: 99%
“…Kumar et al (2004) clarified the influence of monsoon rainfall on the production of five major crops based on state-level statistics. Soora et al (2013) adopted the SRES scenarios to predict the impact of climate change on rain-fed rice yields in five regions covering several states. Given India's diverse topography and climate, conducting analyses using state data is expected to reflect actual conditions better than when using national data.…”
Section: Introductionmentioning
confidence: 99%