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Diversified crop rotations reduce groundwater use and enhance system resilience

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  • Wang, Shiquan
  • Xiong, Jinran
  • Yang, Boyuan
  • Yang, Xiaolin
  • Du, Taisheng
  • Steenhuis, Tammo S.
  • Siddique, Kadambot H.M.
  • Kang, Shaozhong

Abstract

Agricultural intensification has increased crop productivity but simplified production and reduced cropping system diversity. In recent decades, the intensified wheat–maize rotation in the North China Plain has sharply decreased the groundwater table, with associated environmental and biodiversity issues. Understanding whether increasing cropping system diversity stabilizes productivity, improves resilience, and reduces adverse environmental impacts is critical. This study quantified the water requirements of nine staple crops from 1960 to 2020, established 15 alternative crop rotations, and evaluated the resilience of each rotation in the Cangzhou area, a typical groundwater deletion funnel area. The results showed that reducing cropping density (harvests per year) from 2 to 1.5 decreased the average annual water requirement and irrigation demand by 14 % and 33 %, respectively. Summer soybean alternated with maize and rotated with wheat did not reduce groundwater use but increased profitability and protein production. Spring mung bean–summer millet-based multi-rotations had higher precipitation coupling degrees (8 % in wet years, 17 % in normal years, and 56 % in dry years) and profitability (1.1–2.4 times) than the wheat–maize rotation. The spring potato–summer millet rotation in one year had the greatest profitability, the highest equivalent yield to wheat, and the highest water use efficiency (WUE), while spring maize rotated with winter wheat–summer soybean performed best for protein content, energy output, and WUEs. This study identified 11 alternative rotations with a higher comprehensive evaluation index than the conventional wheat–maize rotation based on entropy-TOPSIS considering 12 indicators. Spring mungbean is not suitable for inclusion in the crop rotation when solely cultivated in one year due to mismatched rainfall. Beyond wheat and maize, soybean, millet, and potato are promising crops for innovative multi-year multi-crop rotations to enhance crop diversification, maximize system outputs, and minimize groundwater and energy depletion. This study’s analysis could be extended to develop robust and diverse crop rotations with multiple co-benefits in other water-stressed agricultural regions.

Suggested Citation

  • Wang, Shiquan & Xiong, Jinran & Yang, Boyuan & Yang, Xiaolin & Du, Taisheng & Steenhuis, Tammo S. & Siddique, Kadambot H.M. & Kang, Shaozhong, 2023. "Diversified crop rotations reduce groundwater use and enhance system resilience," Agricultural Water Management, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:agiwat:v:276:y:2023:i:c:s037837742200614x
    DOI: 10.1016/j.agwat.2022.108067
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    References listed on IDEAS

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    1. Rahman, Sanzidur & Kazal, Mohammad Mizanul Haque, 2015. "Whether crop diversification is energy efficient: An empirical analysis from Bangladesh," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 745-754.
    2. Qin, Wenli & Zhang, Xiying & Chen, Suying & Sun, Hongyong & Shao, Liwei, 2018. "Crop rotation and N application rate affecting the performance of winter wheat under deficit irrigation," Agricultural Water Management, Elsevier, vol. 210(C), pages 330-339.
    3. Yang, Xiaolin & Jin, Xinnan & Chu, Qingquan & Pacenka, Steven & Steenhuis, Tammo S., 2021. "Impact of climate variation from 1965 to 2016 on cotton water requirements in North China Plain," Agricultural Water Management, Elsevier, vol. 243(C).
    4. Sun, Hongyong & Zhang, Xiying & Liu, Xiujing & Liu, Xiuwei & Shao, Liwei & Chen, Suying & Wang, Jintao & Dong, Xinliang, 2019. "Impact of different cropping systems and irrigation schedules on evapotranspiration, grain yield and groundwater level in the North China Plain," Agricultural Water Management, Elsevier, vol. 211(C), pages 202-209.
    5. Yan, Zongzheng & Zhang, Xiying & Rashid, Muhammad Adil & Li, Hongjun & Jing, Haichun & Hochman, Zvi, 2020. "Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change," Agricultural Systems, Elsevier, vol. 178(C).
    6. Jia, Xucun & Shao, Lijie & Liu, Peng & Zhao, Bingqiang & Gu, Limin & Dong, Shuting & Bing, So Hwat & Zhang, Jiwang & Zhao, Bin, 2014. "Effect of different nitrogen and irrigation treatments on yield and nitrate leaching of summer maize (Zea mays L.) under lysimeter conditions," Agricultural Water Management, Elsevier, vol. 137(C), pages 92-103.
    7. Yang, Xiaolin & Gao, Wangsheng & Shi, Quanhong & Chen, Fu & Chu, Qingquan, 2013. "Impact of climate change on the water requirement of summer maize in the Huang-Huai-Hai farming region," Agricultural Water Management, Elsevier, vol. 124(C), pages 20-27.
    8. Castellazzi, M.S. & Wood, G.A. & Burgess, P.J. & Morris, J. & Conrad, K.F. & Perry, J.N., 2008. "A systematic representation of crop rotations," Agricultural Systems, Elsevier, vol. 97(1-2), pages 26-33, April.
    9. Liu, Xiaogang & Peng, Youliang & Yang, Qiliang & Wang, Xiukang & Cui, Ningbo, 2021. "Determining optimal deficit irrigation and fertilization to increase mango yield, quality, and WUE in a dry hot environment based on TOPSIS," Agricultural Water Management, Elsevier, vol. 245(C).
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    1. Huanhuan Peng & Jinran Xiong & Jiayi Zhang & Linghui Zhu & Guiyan Wang & Steven Pacenka & Xiaolin Yang, 2023. "Water Requirements and Comprehensive Benefit Evaluation of Diversified Crop Rotations in the Huang-Huai Plain," Sustainability, MDPI, vol. 15(13), pages 1-20, June.
    2. Wang, Bo & van Dam, Jos & Yang, Xiaolin & Ritsema, Coen & Du, Taisheng & Kang, Shaozhong, 2023. "Reducing water productivity gap by optimizing irrigation regime for winter wheat-summer maize system in the North China Plain," Agricultural Water Management, Elsevier, vol. 280(C).
    3. Xiaolin Yang & Jinran Xiong & Taisheng Du & Xiaotang Ju & Yantai Gan & Sien Li & Longlong Xia & Yanjun Shen & Steven Pacenka & Tammo S. Steenhuis & Kadambot H. M. Siddique & Shaozhong Kang & Klaus But, 2024. "Diversifying crop rotation increases food production, reduces net greenhouse gas emissions and improves soil health," Nature Communications, Nature, vol. 15(1), pages 1-14, December.

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