Relationships between drought disasters and crop production during ENSO episodes across the North China Plain

文献类型： 外文期刊

第一作者： Liu, Yuan

作者： Liu, Yuan;Liu, Buchun;Yang, Xiaojuan;Bai, Wei;Wang, Jian;Liu, Yuan;Liu, Buchun;Yang, Xiaojuan;Bai, Wei;Wang, Jian;Wang, Jian

作者机构：

关键词： Drought disaster;Climate change;ENSO event;Grain yield loss caused by drought disasters;North China Plain

期刊名称：REGIONAL ENVIRONMENTAL CHANGE （ 影响因子：3.678； 五年影响因子：4.135 ）

ISSN：

年卷期：

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收录情况： SCI

摘要： Studying the causes of drought is important because the formation of large regional droughts is linked to global atmospheric system abnormalities in China. Information about the effects of drought on crop production is needed in order to improve understanding of a region's drought vulnerability and to improve food production safety in the North China Plain. This paper uses agricultural statistics and monthly Southern Oscillation Index data between 1961 and 2007 to quantitatively evaluate regional agricultural meteorological disasters and to assess the regressive models used to predict the grain yield and climatic yield losses caused by drought disasters. The data showed that the drought-covered area ratios declined, but the drought-affected area ratios rose. During the La Nia stage, the probability of a drought disaster was higher than during the El Nio stage, especially in Hebei. In the El Nio years, there were negative trends for the drought-covered, -affected and -destroyed area ratios in winter and positive trends in the other three seasons. In the La Nia years, the drought disaster area ratios were positive for all seasons. In Neutral years, there was more likely to be a drought event in autumn. The regression analyses for the three provinces showed that the grain climatic yield loss was significantly associated with the grain yield loss caused by drought disasters. This showed that regional grain yield simulations and evaluations of agro-meteorological disasters reliably predicted the field measured statistical data for drought disasters. Therefore, our results showed that there is a mixed seasonal trend in the drought disaster areas in the El Nio years, but a consistent upward trend for all seasons in the La Nia years. We also showed that the damage caused by drought disasters can be quantified by estimating the yield loss.

分类号： X21

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