Spatial-temporal pattern changes of main agriculture natural disasters in China during 1990–2011

China is a disaster prone country, and a comprehensive understanding of change of disasters is very important for China’s agricultural development. In this study, statistical techniques and geographic information system tools are employed to quantify the main agriculture disasters changes and effects on grain production in China during the period of 1990–2011. The results show that China’s grain production was severely affected by disasters including drought, flood, hail, frost and typhoon. The annual area covered by these disasters reached up to 48.7×106 ha during the study period, which accounted for 44.8% of the total sown area, and about 55.1% of the per unit area grain yield change was caused by disasters. In addition, all of the disasters showed high variability, different changing trends, and spatial distribution. Drought, flood, and hail showed significantly decreasing trends, while frost and typhoon showed increasing trends. Drought and flood showed gradual changes and were distributed across the country, and disasters became more diversified from north to south. Drought was the dominated disaster type in northern China, while flood was the most important disaster type in the southern part. Hail was mainly observed in central and northern China, and frost was mainly distributed in southern China. Typhoon was greatly limited to the southeast coast. Furthermore, the resilience of grain production of each province was quite different, especially in several major grain producing areas, such as Shandong, Liaoning, Jilin and Jiangsu, where grain production was seriously affected by disasters. One reason for the difference of resilience of grain production was that grain production was marginalized in developed provinces when the economy underwent rapid development. For China’s agricultural development and grain security, we suggest that governments should place more emphasis on grain production, and invest more money in disaster prevention and mitigation, especially in the major grain producing provinces.

[1]  Z. Pan,et al.  Arable land use intensity change in China from 1985 to 2005: evidence from integrated cropping systems and agro economic analysis , 2011, The Journal of Agricultural Science.

[2]  J. Barredo Normalised flood losses in Europe: 1970-2006 , 2009 .

[3]  Xiaodong Yan,et al.  Climate change and drought: a risk assessment of crop-yield impacts. , 2009 .

[4]  G. Meehl,et al.  Climate extremes: observations, modeling, and impacts. , 2000, Science.

[5]  Ho Kim,et al.  Impacts of typhoon and heavy rain disasters on mortality and infectious diarrhea hospitalization in South Korea , 2013, International journal of environmental health research.

[6]  Sun Xiaofang Spatial Change Trends of Temperature and Precipitation in China , 2011 .

[7]  A. Getis The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[8]  Bruno Merz,et al.  Flood trends and variability in the Mekong river , 2009 .

[9]  Xiao Fengjin,et al.  Characteristics of tropical cyclones in China and their impacts analysis , 2010 .

[10]  M McGeehin,et al.  The potential impacts of climate variability and change on health impacts of extreme weather events in the United States. , 2001, Environmental health perspectives.

[11]  Robert M. Hirsch,et al.  SELECTION OF METHODS FOR THE DETECTION AND ESTIMATION OF TRENDS IN WATER QUALITY , 1991 .

[12]  H. Tian,et al.  Spatial and temporal patterns of China's cropland during 1990¿2000: An analysis based on Landsat TM data , 2005 .

[13]  J. Overpeck,et al.  2000 Years of Drought Variability in the Central United States , 1998 .

[14]  C. Müller,et al.  The yield gap of global grain production: A spatial analysis , 2010 .

[15]  A. Iglesias,et al.  to climate change Towards adaptation of agriculture in the Mediterranean , 2011 .

[16]  Soe W. Myint,et al.  Employing Spatial Metrics in Urban Land-use/Land-cover Mapping: Comparing the Getis and Geary Indices AAG REMOTE SENSING SPECIALITY GROUP 2007 AWARD WINNER 1 , 2007 .

[17]  Shahbaz Khan,et al.  Water management and crop production for food security in China: A review , 2009 .

[18]  M. Sivakumar,et al.  Climate prediction and agriculture: current status and future challenges , 2006 .

[19]  J. Diamond,et al.  China's environment in a globalizing world , 2005, Nature.

[20]  W. Ru 1998 YANGTZE RIVER FLOOD: CAUSES AND ANALYSIS , 1999 .

[21]  Hiroshi Ishidaira,et al.  LONG-TERM TRENDS OF ANNUAL TEMPERATURE AND PRECIPITATION TIME SERIES IN JAPAN , 2002 .

[22]  Elisabeth Simelton,et al.  Food self-sufficiency and natural hazards in China , 2011, Food Security.

[23]  Yansui Liu,et al.  Building new countryside in China: A geographical perspective , 2010 .

[24]  D. Lambert,et al.  Productivity in Chinese Provincial Agriculture , 1998 .

[25]  Luo Yuqi Evolvement of Spatial Pattern of Economy in Jiangsu Province at County Level , 2009 .

[26]  S. Hales,et al.  Climate change and human health: present and future risks , 2006, The Lancet.

[27]  K. Findell,et al.  Simulation of Sahel drought in the 20th and 21st centuries. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[28]  Pan Donghua,et al.  On the Spatial and Temporal Patterns of Flood and Drought Hazards of China , 2013 .

[29]  Alistair G L Borthwick,et al.  Assessment of flooding impacts in terms of sustainability in Mainland China. , 2010, Journal of environmental management.

[30]  Roger A. Pielke,et al.  Human Factors Explain the Increased Losses from Weather and Climate Extremes , 2000 .

[31]  Ming-Miin Yu,et al.  Total factor productivity growth in China's agricultural sector , 2008 .

[32]  Roger A. Pielke,et al.  Temporal Fluctuations in Weather and Climate Extremes That Cause Economic and Human Health Impacts: A Review , 1999 .

[33]  Donald O. Whittemore,et al.  Non-parametric trend analysis of water quality data of rivers in Kansas , 1993 .

[34]  Hao Zhang,et al.  Modelling impact of agro-drought on grain production in China , 2014 .

[35]  M. P. Tuohy,et al.  Using GIS to map impacts upon agriculture from extreme floods in Vietnam , 2013 .

[36]  J. Diniz‐Filho,et al.  Spatial autocorrelation and red herrings in geographical ecology , 2003 .

[37]  Jidong Wu,et al.  Exploring the characteristics of major natural disasters in China and their impacts during the past decades , 2013, Natural Hazards.

[38]  Jun Yu Li,et al.  Long‐term trend analysis for precipitation in Asian Pacific FRIEND river basins , 2005 .

[39]  R. Davies‐Colley,et al.  Water quality trends in New Zealand rivers: 1989–2009 , 2014, Environmental Monitoring and Assessment.

[40]  L. Anselin Local Indicators of Spatial Association—LISA , 2010 .

[41]  G. Xie,et al.  Agricultural trade and virtual land use: The case of China's crop trade , 2013 .

[42]  J. Reser,et al.  Natural disasters, climate change and mental health considerations for rural Australia. , 2007, The Australian journal of rural health.

[43]  Luo Jian-chao Demonstration Analysis of Financial Funds to Agriculture in China , 2006 .

[44]  Jiquan Zhang,et al.  Risk assessment of drought disaster in the maize-growing region of Songliao Plain, China , 2003 .