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An Optimization Scheme of Balancing GHG Emission and Income in Circular Agriculture System

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  • Sheng Hang

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Jing Li

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Xiangbo Xu

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    UN Environment-International Ecosystem Management Partnership (UNEP-IEMP), Beijing 100101, China)

  • Yun Lyu

    (Department of Grassland Science, College of Grassland Science and Technology, China Agricultural University, Beijing 100193, China)

  • Yang Li

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Huarui Gong

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Yan Xu

    (Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zhu Ouyang

    (University of Chinese Academy of Sciences, Beijing 100049, China
    Yellow River Delta Modern Agricultural Engineering Laboratory, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

With the rapid development of circular agriculture in China, balancing agricultural income and environmental impact by adjusting the structure and scale of circular agriculture is becoming increasingly important. Agriculture is a major source of greenhouse gas and income earned from agriculture drives sustainable agricultural development. This paper built a multi-objective linear programming model based on greenhouse gas emission and agricultural product income and then optimized the structure and scale of circular agriculture using Beiqiu Farm as a case study. Results showed that greenhouse gas emission was mainly from manure management in livestock industry. While the agriculture income increased by 64% after optimization, GHG emission increased by only 12.3%. The optimization made full use of straw, manure and fodder, but also minimized soil nitrogen loss. The results laid a generalized guide for adjusting the structure and scale of the planting and raising industry. Measures for optimizing the management of manure were critical in achieving low agricultural carbon emissions in future agricultural development efforts.

Suggested Citation

  • Sheng Hang & Jing Li & Xiangbo Xu & Yun Lyu & Yang Li & Huarui Gong & Yan Xu & Zhu Ouyang, 2021. "An Optimization Scheme of Balancing GHG Emission and Income in Circular Agriculture System," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7154-:d:582347
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    References listed on IDEAS

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    1. Thornton, P. K. & Herrero, M., 2001. "Integrated crop-livestock simulation models for scenario analysis and impact assessment," Agricultural Systems, Elsevier, vol. 70(2-3), pages 581-602.
    2. Bos, Jules F.F.P. & ten Berge, Hein F.M. & Verhagen, Jan & van Ittersum, Martin K., 2017. "Trade-offs in soil fertility management on arable farms," Agricultural Systems, Elsevier, vol. 157(C), pages 292-302.
    3. Accatino, Francesco & Tonda, Alberto & Dross, Camille & Léger, François & Tichit, Muriel, 2019. "Trade-offs and synergies between livestock production and other ecosystem services," Agricultural Systems, Elsevier, vol. 168(C), pages 58-72.
    4. Groot, Jeroen C.J. & Oomen, Gerard J.M. & Rossing, Walter A.H., 2012. "Multi-objective optimization and design of farming systems," Agricultural Systems, Elsevier, vol. 110(C), pages 63-77.
    5. Ledgard, Stewart F. & Wei, Sha & Wang, Xiaoqin & Falconer, Shelley & Zhang, Nannan & Zhang, Xiying & Ma, Lin, 2019. "Nitrogen and carbon footprints of dairy farm systems in China and New Zealand, as influenced by productivity, feed sources and mitigations," Agricultural Water Management, Elsevier, vol. 213(C), pages 155-163.
    6. Sterk, B. & van Ittersum, M.K. & Leeuwis, C. & Rossing, W.A.H. & van Keulen, H. & van de Ven, G.W.J., 2006. "Finding niches for whole-farm design models - contradictio in terminis?," Agricultural Systems, Elsevier, vol. 87(2), pages 211-228, February.
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    Cited by:

    1. Xiao Chen & Zeyuan He & Huarui Wu & Changji Wen & Tao Tao & Xinyu Yang & You Tang & Hongliang Guo & Helong Yu, 2023. "Multi-Objective Optimization of Integrated Crop–Livestock Systems: Exploring Resource Allocation Based on Emergy Evaluation," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. Chenyujing Yang & Yuanyuan Zhang & Yanjin Xue & Yongji Xue, 2022. "Toward a Socio-Political Approach to Promote the Development of Circular Agriculture: A Critical Review," IJERPH, MDPI, vol. 19(20), pages 1-18, October.

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