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Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China

Author

Listed:
  • Jianjun Wu
  • Bin He
  • Aifeng Lü
  • Lei Zhou
  • Ming Liu
  • Lin Zhao

Abstract

In this study, the spatial characteristics of agricultural drought vulnerability in China were investigated using a GIS-based agricultural drought vulnerability assessment model, which was constructed by selecting three agricultural drought vulnerability factors. Seasonal crop water deficiency, available soil water-holding capacity and irrigation were identified as the main indicators of agricultural drought vulnerability in China. The study showed that the distribution of seasonal crop moisture deficiency showed significant differentiation in both north–south and east–west directions, and the agricultural drought vulnerability presented a similar trend. At a regional scale, southern and eastern China typically has a low- and moderate-vulnerability to drought, while high and very high vulnerability to agricultural drought is observed in northern and western China. In terms of China’s agricultural regions, the central part of the southwest region, the area between the southern Huang-Huai-Hai region and the northern part of the Middle and lower reaches of the Yangtze River region, and the northeast region are the areas of low agricultural drought vulnerability in China, while areas of high agricultural drought vulnerability are mainly located in the Inner Mongolia, Loess Plateau and Gan-Xin regions. Due to differences in the physical and social–economic conditions within the agricultural areas, vulnerability to agricultural drought exhibits substantial variability both between different agricultural regions and within the same region. The methodology of grid-cell-based agricultural drought vulnerability assessment, developed in this study, provides a foundation for better description of the differences in regional and even smaller scale. Copyright Springer Science+Business Media B.V. 2011

Suggested Citation

  • Jianjun Wu & Bin He & Aifeng Lü & Lei Zhou & Ming Liu & Lin Zhao, 2011. "Quantitative assessment and spatial characteristics analysis of agricultural drought vulnerability in China," 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. 56(3), pages 785-801, March.
    • Handle: RePEc:spr:nathaz:v:56:y:2011:i:3:p:785-801
    DOI: 10.1007/s11069-010-9591-9
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    References listed on IDEAS

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    1. Olga Wilhelmi & Donald Wilhite, 2002. "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study," 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. 25(1), pages 37-58, January.
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    1. Huifang Sun & Yaoguo Dang & Wenxin Mao, 2019. "Identifying key factors of regional agricultural drought vulnerability using a panel data grey combined method," 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. 98(2), pages 621-642, September.
    2. Zhaoqi Zeng & Wenxiang Wu & Zhaolei Li & Yang Zhou & Han Huang, 2019. "Quantitative Assessment of Agricultural Drought Risk in Southeast Gansu Province, Northwest China," Sustainability, MDPI, vol. 11(19), pages 1-21, October.
    3. Wan, Wei & Liu, Zhong & Li, Kejiang & Wang, Guiman & Wu, Hanqing & Wang, Qingyun, 2021. "Drought monitoring of the maize planting areas in Northeast and North China Plain," Agricultural Water Management, Elsevier, vol. 245(C).
    4. Zhou, Keke & Li, Jianzhu & Zhang, Ting & Kang, Aiqing, 2021. "The use of combined soil moisture data to characterize agricultural drought conditions and the relationship among different drought types in China," Agricultural Water Management, Elsevier, vol. 243(C).
    5. Saowanit Prabnakorn & Shreedhar Maskey & F. X. Suryadi & Charlotte Fraiture, 2019. "Assessment of drought hazard, exposure, vulnerability, and risk for rice cultivation in the Mun River Basin in Thailand," 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. 97(2), pages 891-911, June.
    6. Bin He & Jianjun Wu & Aifeng Lü & Xuefeng Cui & Lei Zhou & Ming Liu & Lin Zhao, 2013. "Quantitative assessment and spatial characteristic analysis of agricultural drought risk in China," 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. 66(2), pages 155-166, March.
    7. Wei Pei & Qiang Fu & Dong Liu & Tian-xiao Li & Kun Cheng, 2016. "Assessing agricultural drought vulnerability in the Sanjiang Plain based on an improved projection pursuit model," 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. 82(1), pages 683-701, May.
    8. P. Vijaya Kumar & Mohammed Osman & P. K. Mishra, 2019. "Development and application of a new drought severity index for categorizing drought-prone areas: a case study of undivided Andhra Pradesh state, India," 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. 97(2), pages 793-812, June.
    9. Yang Zhou & Ning Li & Wenxiang Wu & Jidong Wu & Xiaotian Gu & Zhonghui Ji, 2013. "Exploring the characteristics of major natural disasters in China and their impacts during the past decades," 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. 69(1), pages 829-843, October.
    10. Trnka, Miroslav & Vizina, Adam & Hanel, Martin & Balek, Jan & Fischer, Milan & Hlavinka, Petr & Semerádová, Daniela & Štěpánek, Petr & Zahradníček, Pavel & Skalák, Petr & Eitzinger, Josef & Dubrovský,, 2022. "Increasing available water capacity as a factor for increasing drought resilience or potential conflict over water resources under present and future climate conditions," Agricultural Water Management, Elsevier, vol. 264(C).
    11. Olufemi Sunday Durowoju & Temi Emmanuel Ologunorisa & Ademola Akinbobola, 2022. "Assessing agricultural and hydrological drought vulnerability in a savanna ecological zone of Sub-Saharan Africa," 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. 111(3), pages 2431-2458, April.
    12. Yaojie Yue & Jian Li & Xinyue Ye & Zhiqiang Wang & A-Xing Zhu & Jing-ai Wang, 2015. "An EPIC model-based vulnerability assessment of wheat subject to drought," 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. 78(3), pages 1629-1652, September.
    13. Ricky P. Laureta & Ric Ryan H. Regalado & Ermar B. De La Cruz, 2021. "Climate vulnerability scenario of the agricultural sector in the Bicol River Basin, Philippines," Climatic Change, Springer, vol. 168(1), pages 1-18, September.
    14. Qian Wang & Qi-peng Zhang & Yang-yang Liu & Lin-jing Tong & Yan-zhen Zhang & Xiao-yu Li & Jian-long Li, 2020. "Characterizing the spatial distribution of typical natural disaster vulnerability in China from 2010 to 2017," 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. 100(1), pages 3-15, January.

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