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An EPIC model-based wheat drought risk assessment using new climate scenarios in China

Author

Listed:
  • Yaojie Yue

    (Beijing Normal University
    Beijing Normal University)

  • Lin Wang

    (Beijing Normal University)

  • Jian Li

    (Beijing Normal University
    Beijing Normal University)

  • A-xing Zhu

    (Nanjing Normal University
    University of Wisconsin-Madison)

Abstract

There is considerable research interest in future agro-drought risk assessment, since the increasing severity of climate change-related hazards poses a great threat to global food security. Wheat is the most important staple crop in the world, and China’s wheat production has long been impacted by drought. The frequency, intensity, and duration of droughts may increase due to climate change and stressing the need for robust assessment methods for drought risk, as well as adaptation and mitigation strategies. This paper investigates a method for assessing future wheat drought risk using climate scenarios and a crop model. We illustrate the utility of such an approach by assessing the risk of wheat drought under climate change scenarios in China using the Environmental Policy Integrated Climate model. Results show that the risk level of wheat drought is highest under scenario RCP8.5, followed by RCP4.5, RCP6.0, and RCP2.6, in descending order. If current climate change trends continue, wheat drought risk in China will be at risk levels between RCP6.0 and RCP8.5 by the end of the twenty-first century. The wheat drought risk assessment shows a “low-risk, high-risk, low-risk” spatial pattern starting in the spring wheat-planting regions in northern China and progressing to the winter wheat-planting regions in southern China. Significant differences were observed across regions, but in all RCP scenarios, the relative high-risk zones are the Huang-Huai Winter Wheat Region and the North Winter Wheat Region. In addition, wheat drought risk mitigation and adaptation strategies in China are proposed.

Suggested Citation

  • Yaojie Yue & Lin Wang & Jian Li & A-xing Zhu, 2018. "An EPIC model-based wheat drought risk assessment using new climate scenarios in China," Climatic Change, Springer, vol. 147(3), pages 539-553, April.
  • Handle: RePEc:spr:climat:v:147:y:2018:i:3:d:10.1007_s10584-018-2150-1
    DOI: 10.1007/s10584-018-2150-1
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    References listed on IDEAS

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    Cited by:

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    2. Yu, Wenjia & Yue, Yaojie & Wang, Fangxiong, 2022. "The spatial-temporal coupling pattern of grain yield and fertilization in the North China plain," Agricultural Systems, Elsevier, vol. 196(C).
    3. Feng Fang & Jing Wang & Jingjing Lin & Yuxia Xu & Guoyang Lu & Xin Wang & Pengcheng Huang & Yuhan Huang & Fei Yin, 2023. "Risk Assessment of Maize Yield Losses in Gansu Province Based on Spatial Econometric Analysis," Agriculture, MDPI, vol. 13(7), pages 1-26, June.
    4. Cui, Yi & Jiang, Shangming & Jin, Juliang & Ning, Shaowei & Feng, Ping, 2019. "Quantitative assessment of soybean drought loss sensitivity at different growth stages based on S-shaped damage curve," Agricultural Water Management, Elsevier, vol. 213(C), pages 821-832.
    5. Jing Wang & Feng Fang & Jinsong Wang & Ping Yue & Suping Wang & Liang Zhang, 2023. "Grain Risk Analysis of Meteorological Disasters in Gansu Province Using Probability Statistics and Index Approaches," Sustainability, MDPI, vol. 15(6), pages 1-26, March.

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