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How global warming alters future maize yield and water use efficiency in China

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  • Liu, Yujie
  • Zhang, Jie
  • Qin, Ya

Abstract

Agricultural production is highly sensitive to climate change. Scientifically evaluating the impact of climate change on agriculture lays a foundation for stakeholders to make evidence-based decisions. However, the potential changes to China's maize production and water use efficiency (WUE) under the 1.5 °C and 2.0 °C global warming (GW1.5 and GW2.0) scenarios still remain unclear. In this study, the spatiotemporal changes in China's maize yield and WUE relative to the reference period (1986–2005) under GW1.5 and GW2.0 were simulated using the calibrated and validated CERES-Maize model. The climate of GW1.5 could be beneficial for maize yield and WUE, but these benefits declined when warming reached 2.0 °C above the pre-industrial level. Under GW2.0, China's main food-producing regions became high-risk areas for maize yield reductions. The decrease of maize yield in the north spring maize zone and Huanghuai Plain spring–summer maize zone were both higher than that in other planting zones. Increasing risk of yield reduction and a looming water use crisis are likely to bring unprecedented challenges to sustainable agricultural development. Controlling the temperature rise within 1.5 °C would reduce the yield reduction risk in each planting zone by 11.01–75.69%, which is conducive to ensuring China's food security.

Suggested Citation

  • Liu, Yujie & Zhang, Jie & Qin, Ya, 2020. "How global warming alters future maize yield and water use efficiency in China," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    • Handle: RePEc:eee:tefoso:v:160:y:2020:i:c:s0040162520310556
    DOI: 10.1016/j.techfore.2020.120229
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    References listed on IDEAS

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    1. Kaur, Rajbir & Arora, VK, 2018. "Assessing spring maize responses to irrigation and nitrogen regimes in north-west India using CERES-Maize model," Agricultural Water Management, Elsevier, vol. 209(C), pages 171-177.
    2. Zhao, Rongqin & Liu, Ying & Tian, Mengmeng & Ding, Minglei & Cao, Lianhai & Zhang, Zhanping & Chuai, Xiaowei & Xiao, Liangang & Yao, Lunguang, 2018. "Impacts of water and land resources exploitation on agricultural carbon emissions: The water-land-energy-carbon nexus," Land Use Policy, Elsevier, vol. 72(C), pages 480-492.
    3. David B. Lobell & Graeme L. Hammer & Greg McLean & Carlos Messina & Michael J. Roberts & Wolfram Schlenker, 2013. "The critical role of extreme heat for maize production in the United States," Nature Climate Change, Nature, vol. 3(5), pages 497-501, May.
    4. S. Asseng & F. Ewert & P. Martre & R. P. Rötter & D. B. Lobell & D. Cammarano & B. A. Kimball & M. J. Ottman & G. W. Wall & J. W. White & M. P. Reynolds & P. D. Alderman & P. V. V. Prasad & P. K. Agga, 2015. "Rising temperatures reduce global wheat production," Nature Climate Change, Nature, vol. 5(2), pages 143-147, February.
    5. Deng, Xiangzheng & Gibson, John, 2019. "Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 394-400.
    6. Yujie Liu & Qiaomin Chen & Qinghua Tan, 2019. "Responses of wheat yields and water use efficiency to climate change and nitrogen fertilization in the North China plain," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1231-1242, December.
    7. Wang, Zhan & Deng, Xiangzheng & Bai, Yuping & Chen, Jiancheng & Zheng, Wentang, 2016. "Land use structure and emission intensity at regional scale: A case study at the middle reach of the Heihe River basin," Applied Energy, Elsevier, vol. 183(C), pages 1581-1593.
    8. Jalota, S.K. & Kaur, Harsimran & Kaur, Samanpreet & Vashisht, B.B., 2013. "Impact of climate change scenarios on yield, water and nitrogen-balance and -use efficiency of rice–wheat cropping system," Agricultural Water Management, Elsevier, vol. 116(C), pages 29-38.
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    2. Lu, Shibao & Bai, Xiao & Zhang, Jin & Li, Jinkai & Li, Wei & Lin, Ji, 2022. "Impact of virtual water export on water resource security associated with the energy and food bases in Northeast China," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

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