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Exposure, vulnerability, and adaptation of major maize-growing areas to extreme temperature

Author

Listed:
  • Liangliang Zhang

    (Beijing Normal University)

  • Zhao Zhang

    (Beijing Normal University)

  • Yi Chen

    (Beijing Normal University
    Chinese Academy of Sciences)

  • Xing Wei

    (Beijing Normal University)

  • Xiao Song

    (Beijing Normal University)

Abstract

Driven by increasing demand for food and industrial consumption, world’s maize supply is under stress. Besides, the extreme temperature events are now exposing more threat to maize yield with ongoing climate change. Thus, a comprehensive analysis on maize exposure (exposure is defined as the cultivated area which is exposed to extreme temperature stress), vulnerability (here it means how much yield losses with each temperature increase/decrease at a national scale), and adaptation to extreme temperature is essential to better understand the effects on global maize production, especially in major production countries. It was found that warming trends during the growing season have extensively dominated the main maize-growing areas across the globe. And along with this mean temperature trend was the increasing heat stress and decreasing cold stress among most regions. Moreover, from 1981 to 2011, maize yield losses caused by heat stress in China, India, and the USA were 1.13, 0.64 and 1.12% per decade, respectively, while Mexico has been experiencing a reduction of yield loss due to decreased cold stress of 0.53% per decade. Furthermore, during the period of 2021–2051, the extreme heat stress would increase substantially, while the low temperature was estimated to drop slightly during the growing seasons. Such pattern had also been found over the key reproductive stage of maize. Accordingly, through the sensitivity test of two adaption measures, improved high-temperature-tolerant varieties and changing maize calendar earlier could both mitigate extreme meteorological stress on maize, while the former method would be the most effective way to do so. Our study could provide a paradigm for other crops and other countries in the world to analyze their exposure and vulnerability to the temperature stress and make corresponding adaptation measures.

Suggested Citation

  • Liangliang Zhang & Zhao Zhang & Yi Chen & Xing Wei & Xiao Song, 2018. "Exposure, vulnerability, and adaptation of major maize-growing areas to extreme temperature," 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. 91(3), pages 1257-1272, April.
  • Handle: RePEc:spr:nathaz:v:91:y:2018:i:3:d:10.1007_s11069-018-3181-7
    DOI: 10.1007/s11069-018-3181-7
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    References listed on IDEAS

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    1. W. Neil Adger & Saleemul Huq & Katrina Brown & Declan Conway & Mike Hulme, 2003. "Adaptation to climate change in the developing world," Progress in Development Studies, , vol. 3(3), pages 179-195, July.
    2. Per Pinstrup-Andersen, 2009. "Food security: definition and measurement," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 5-7, February.
    3. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    4. Hertel, Thomas & Burke, Marshall & Lobell, David, 2010. "The Poverty Implications of Climate-Induced Crop Yield Changes by 2030," GTAP Working Papers 3196, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    5. Huaijun Wang & Yaning Chen & Zhongshen Chen & Weihong Li, 2013. "Changes in annual and seasonal temperature extremes in the arid region of China, 1960–2010," 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. 65(3), pages 1913-1930, February.
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    Cited by:

    1. Hengli Wang & Hong Liu & Rui Ma, 2022. "Assessment and Prediction of Grain Production Considering Climate Change and Air Pollution in China," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    2. Mwaka Kayula & Collins Otieno Odoyo & Chanda Sichinsambwe, 2022. "Effects of Crop Insurance and Finance on Small-Scale Maize Productivity in Zambia," International Business Research, Canadian Center of Science and Education, vol. 15(10), pages 1-48, October.
    3. Xiaojun Huang & Yanyu Li & Yuhui Guo & Dianyuan Zheng & Mingyue Qi, 2020. "Assessing Urban Risk to Extreme Heat in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    4. Yuhe Ji & Guangsheng Zhou & Qijin He & Lixia Wang, 2018. "The Effect of Climate Change on Spring Maize ( Zea mays L.) Suitability across China," Sustainability, MDPI, vol. 10(10), pages 1-10, October.
    5. Ran Wang & Yao Jiang & Peng Su & Jing’ai Wang, 2019. "Global Spatial Distributions of and Trends in Rice Exposure to High Temperature," Sustainability, MDPI, vol. 11(22), pages 1-53, November.
    6. Gao, Haihe & Yan, Changrong & Liu, Qin & Li, Zhen & Yang, Xiao & Qi, Ruimin, 2019. "Exploring optimal soil mulching to enhance yield and water use efficiency in maize cropping in China: A meta-analysis," Agricultural Water Management, Elsevier, vol. 225(C).

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