Journal of Geographical Sciences >
Spatial pattern and decadal change of agro-meteorological disasters in the main wheat production area of China during 1991-2009
Received date: 2013-07-12
Revised date: 2013-08-22
Online published: 2014-03-28
Supported by
National Natural Science Foundation of China, No.41071030; The National Basic Research Program of China, No.2012CB955404; Fundamental Research Funds for the Central Universities; The Science and Technology Strategic Pilot Projects of the Chinese Academy of Sciences, No.XDA05090308
Agro-meteorological disasters (AMD) have become more frequent with climate warming. In this study, the temporal and spatial changes in the occurrence frequency of major meteorological disasters on wheat production were firstly explored by analyzing the observed records at national agro-meteorological stations (AMS) of China from 1991 to 2009. Furthermore, impact of climate change on AMD was discussed by comparing the warmer decade (2000-2009) with another decade (1991-2000). It was found that drought was the most frequent disaster during the last two decades, with a highest proportion of 79%. And the frequency of AMD increased significantly with climate change. Specifically, the main disasters occurred more frequently in the reproductive period than in the vegetative period. Besides, the spatial changes in the AMD frequency were characterized by region-specific. For example, the wheat cultivation areas located on the Loess Plateau and the middle-lower reaches of the Yellow River suffered mainly from drought. All these results were strongly linked to climate change in China. Therefore, sound adaptation options should be taken based on the latest changes of AMD under global warming to reduce agricultural damages.
Key words： wheat; agro-meteorological disasters; climate change; drought; heat stress
ZHANG Zhao, WANG Pin, CHEN Yi, ZHANG Shuai, TAO Fulu, LIU Xiaofei . Spatial pattern and decadal change of agro-meteorological disasters in the main wheat production area of China during 1991-2009[J]. Journal of Geographical Sciences, 2014 , 24(3) : 387 -396 . DOI: 10.1007/s11442-014-1095-1
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