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Changing yields in the Central United States under climate and technological change

Author

Listed:
  • Emily Burchfield

    (Emory University)

  • Neil Matthews-Pennanen

    (Utah State University)

  • Justin Schoof

    (Southern Illinois University)

  • Christopher Lant

    (Utah State University)

Abstract

This paper projects the race between technologically driven increases in crop yields and changing climatic conditions in the central USA, one of the world’s most productive agricultural regions. Using the highest, average, and lowest decadal rates of technologically driven increases in crop yields over the 1980 to 2017 period, we develop spatially explicit yield scenarios to the end of the twenty-first century under RCP4.5 and RCP8.5. We find that with static technological innovation, severe climate change will decrease yields by an average of 22.4% (26.1 bu. ac−1) for maize, 27.9% (8.83 bu. ac−1) for soybeans, and 20% (7.14 bu. ac−1) for winter wheat in the central USA; however, with even the lowest rates of technological yield growth, yields increase by an average of 25.0% (40.5 bu. ac−1) for maize and 30.2% (14.2 bu. ac−1) for soybeans. We conclude that technology has the potential to overcome the negative impacts of climate change on the yields of maize, soybeans, and winter wheat in the central USA, but if these increases are to be environmentally sustainable, technological developments must be information-intensive rather than input-intensive.

Suggested Citation

  • Emily Burchfield & Neil Matthews-Pennanen & Justin Schoof & Christopher Lant, 2020. "Changing yields in the Central United States under climate and technological change," Climatic Change, Springer, vol. 159(3), pages 329-346, April.
  • Handle: RePEc:spr:climat:v:159:y:2020:i:3:d:10.1007_s10584-019-02567-7
    DOI: 10.1007/s10584-019-02567-7
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    2. Britta L. Schumacher & Emily K. Burchfield & Brennan Bean & Matt A. Yost, 2023. "Leveraging Important Covariate Groups for Corn Yield Prediction," Agriculture, MDPI, vol. 13(3), pages 1-18, March.
    3. Yu, Chengzheng & Miao, Ruiqing & Khanna, Madhu, 2021. "Maladaptation of U.S. Corn and Soybean to a Changing Climate," 2021 Conference, August 17-31, 2021, Virtual 313798, International Association of Agricultural Economists.
    4. Guo, Shibo & Zhang, Zhentao & Guo, Erjing & Fu, Zhenzhen & Gong, Jingjin & Yang, Xiaoguang, 2022. "Historical and projected impacts of climate change and technology on soybean yield in China," Agricultural Systems, Elsevier, vol. 203(C).
    5. Yang, Meijian & Wang, Guiling, 2023. "Heat stress to jeopardize crop production in the US Corn Belt based on downscaled CMIP5 projections," Agricultural Systems, Elsevier, vol. 211(C).
    6. Chandio, Abbas Ali & Ozdemir, Dicle & Jiang, Yuansheng, 2023. "Modelling the impact of climate change and advanced agricultural technologies on grain output: Recent evidence from China," Ecological Modelling, Elsevier, vol. 485(C).
    7. Luo, Li & Sun, Shikun & Xue, Jing & Gao, Zihan & Zhao, Jinfeng & Yin, Yali & Gao, Fei & Luan, Xiaobo, 2023. "Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation," Agricultural Systems, Elsevier, vol. 210(C).
    8. Yu, Chengzheng & Miao, Ruiqing & Khanna, Madhu, 2021. "Maladaptation of U.S. Corn and Soybean Yields to a Changing Climate," 2021 Conference, August 17-31, 2021, Virtual 315037, International Association of Agricultural Economists.

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