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Modeling Adaptive Strategies on Maintaining Wheat-Corn Production and Reducing Net Greenhouse Gas Emissions under Climate Change

Author

Listed:
  • Xiaopei Yi

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    These authors contributed equally to this work.)

  • Naijie Chang

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    These authors contributed equally to this work.)

  • Wuhan Ding

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

  • Chi Xu

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Jing Zhang

    (Engineering and Technology Research Center for Agricultural Land Pollution Prevention and Control of Guangdong Higher Education Institutes, College of Resources and Environmental Sciences, Zhongkai University of Agriculture and Engineering, Guangzhou 510225, China)

  • Jianfeng Zhang

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

  • Hu Li

    (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

Climate change has posed serious challenges to food production and sustainable development. We evaluated crop yields, N 2 O emissions, and soil organic carbon (SOC) in a typical wheat–corn rotation system field on the North China Plain on a 50-year scale using the Denitrification–Decomposition (DNDC) model and proposed adaptive strategies for each climate scenarios. The study showed a good consistency between observations and simulations ( R 2 > 0.95 and nRMSE < 30%). Among the twelve climate scenarios, we explored ten management practices under four climate scenarios (3 °C temperature change: P/T−3 and P/T+3; 30% precipitation change: 0.7P/T and 1.3P/T), which have a significant impact on crop yields and the net greenhouse effect. The results revealed that changing the crop planting time (CP) and using cold-resistant (CR) varieties could reduce the net greenhouse effect by more than 1/4 without sacrificing crop yields under P/T−3. Straw return (SR) minimized the negative impact on yields and the environment under P/T+3. Fertigation (FG) and Drought-Resistant (DR) varieties reduced the net greenhouse effect by more than 8.34% and maintained yields under 0.7P/T. SR was most beneficial to carbon sequestration, and yields were increased by 3.87% under 1.3P/T. Multiple adaptive strategies should be implemented to balance yields and reduce the environmental burden under future climate change.

Suggested Citation

  • Xiaopei Yi & Naijie Chang & Wuhan Ding & Chi Xu & Jing Zhang & Jianfeng Zhang & Hu Li, 2022. "Modeling Adaptive Strategies on Maintaining Wheat-Corn Production and Reducing Net Greenhouse Gas Emissions under Climate Change," Agriculture, MDPI, vol. 12(8), pages 1-16, July.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:8:p:1089-:d:870207
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    References listed on IDEAS

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    3. Kahil, Mohamed Taher & Connor, Jeffery D. & Albiac, Jose, 2015. "Efficient water management policies for irrigation adaptation to climate change in Southern Europe," Ecological Economics, Elsevier, vol. 120(C), pages 226-233.
    4. Streimikiene, Dalia & Baležentis, Tomas & Kriščiukaitienė, Irena, 2012. "Promoting interactions between local climate change mitigation, sustainable energy development, and rural development policies in Lithuania," Energy Policy, Elsevier, vol. 50(C), pages 699-710.
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    Cited by:

    1. Dengpan Xiao & Wenjiao Shi, 2023. "Modeling the Adaptation of Agricultural Production to Climate Change," Agriculture, MDPI, vol. 13(2), pages 1-4, February.

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