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

Jin Huang, Yadong Lei, Fangmin Zhang and Zhenghua Hu ()
Additional contact information
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

Food Security: The Science, Sociology and Economics of Food Production and Access to Food, 2017, vol. 9, issue 4, No 2, 672 pages

Abstract: 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.

Keywords: Rice meteorological disasters; Jiangsu; China (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s12571-017-0689-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssefpa:v:9:y:2017:i:4:d:10.1007_s12571-017-0689-8

Ordering information: This journal article can be ordered from
http://www.springer. ... ulture/journal/12571

DOI: 10.1007/s12571-017-0689-8

Access Statistics for this article

Food Security: The Science, Sociology and Economics of Food Production and Access to Food is currently edited by R.N. Strange

More articles in Food Security: The Science, Sociology and Economics of Food Production and Access to Food from Springer, The International Society for Plant Pathology
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().