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Spatio-temporal analysis of meteorological disasters affecting rice, using multi-indices, in Jiangsu province, Southeast China

Author

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  • Jin Huang

    (Nanjing University of Information Science & Technology)

  • Yadong Lei

    (Nanjing University of Information Science & Technology)

  • Fangmin Zhang

    (Nanjing University of Information Science & Technology)

  • Zhenghua Hu

    (Nanjing University of Information Science & Technology)

Abstract

With the increasing risk of people and economies being subject to meteorological disasters, it is of great importance to analyse the spatio-temporal variation of these disasters. In this paper, the possible impacts of meteorological disasters on rice yields in Jiangsu Province, southeast China was studied. A total of 17 rice meteorological disaster indices (RMDI) during 1961–2012 was calculated and analyzed. The spatial distribution of RMDI indicated that south Jiangsu should be classified as a high-intensity zone for heat stress, while north Jiangsu should be classified as a high-intensity zone for precipitation extremes and chilling injury. Changing trends of RMDI were detected by the Mann-Kendall test. Precipitation extremes and heat stress indices presented increasing trends, while the chilling injury indices showed decreasing trends. Correlation analysis between rice yield and RMDI with the first difference method and climate-induced yield method showed that precipitation extremes had more dramatic negative effects than the other two types of meteorological disaster. Principal components analysis provided additional information about the regional differences of changes in meteorological disasters. Jiangsu could be divided into three regions (south, middle, and north) with different and changing patterns for RMDI. Also the Western Pacific Subtropical High Intensity Index and the Pacific Decadal Oscillation had significant influences on these changes. These findings could provide a scientific basis for the prevention or reduction of rice meteorological disasters in Jiangsu Province.

Suggested Citation

  • Jin Huang & Yadong Lei & Fangmin Zhang & Zhenghua Hu, 2017. "Spatio-temporal analysis of meteorological disasters affecting rice, using multi-indices, in Jiangsu province, Southeast China," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(4), pages 661-672, August.
    • Handle: RePEc:spr:ssefpa:v:9:y:2017:i:4:d:10.1007_s12571-017-0689-8
    DOI: 10.1007/s12571-017-0689-8
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    References listed on IDEAS

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    Cited by:

    1. Hengli Wang & Hong Liu & Rui Ma, 2022. "Assessment and Prediction of Grain Production Considering Climate Change and Air Pollution in China," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    2. Ximeng Xu & Qiuhong Tang, 2021. "Meteorological disaster frequency at prefecture-level city scale and induced losses in mainland China during 2011–2019," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 827-844, October.

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