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Optimizing Land Use to Mitigate Ecosystem Service Trade-Offs Using Multi-Scenario Simulation in the Luo River Basin

Author

Listed:
  • Yulong Dai

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Xuning Qiao

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
    Research Centre of Arable Land Protection and Urban-Rural High-Quality Development of Yellow River Basin, Henan Polytechnic University, Jiaozuo 454003, China)

  • Yongju Yang

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Liang Liu

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Yuru Chen

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Jing Zhang

    (School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China)

  • Tongqian Zhao

    (School of Resources and Environment, Henan Polytechnic University, Jiaozuo 454003, China)

Abstract

For a long time in the past, China has implemented a large number of “Grain for Green” projects (GFGPs) to improve the ecological environment. However, it is still unclear whether excessive GFGPs will exacerbate the trade-off of ecosystem services (ESs). Additionally, it is a great challenge to explore the response mechanism of the trade-off relationship to changes in land use and to mitigate the trade-offs by optimizing land use. Taking a typical GFGP basin in the central Yellow River basin as an example, we identified the trade-off areas and measured the nonlinear trade-offs between ESs under different scenarios. This was carried out based on the synergistic potential of the production possibility frontier (PPF) and the first-order derivative. We also identified the optimal scenario for mitigating the trade-offs of ESs. The results showed that excessive GFGPs have intensified the ES trade-offs. The differences in land use types lead to spatial heterogeneity in the relationship of ESs. When carbon storage (CS) is 9.58 t/km 2 and habitat quality (HQ) is 0.4, the relationship with water yield (WY) changes from trade-off to synergy, respectively, and the trade-off area is mainly distributed in cropland and construction land. Compared with 2020, the EP scenario has the highest synergy potential and the lowest trade-off intensity, and can alleviate the ES trade-off to the greatest extent.

Suggested Citation

  • Yulong Dai & Xuning Qiao & Yongju Yang & Liang Liu & Yuru Chen & Jing Zhang & Tongqian Zhao, 2024. "Optimizing Land Use to Mitigate Ecosystem Service Trade-Offs Using Multi-Scenario Simulation in the Luo River Basin," Land, MDPI, vol. 13(8), pages 1-20, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1243-:d:1452680
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    References listed on IDEAS

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    1. David Tilman, 2000. "Causes, consequences and ethics of biodiversity," Nature, Nature, vol. 405(6783), pages 208-211, May.
    2. Guangzi Li & Jun Cai, 2022. "Spatial and Temporal Differentiation of Mountain Ecosystem Service Trade-Offs and Synergies: A Case Study of Jieshi Mountain, China," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    3. Lester, Sarah E. & Costello, Christopher & Halpern, Benjamin S. & Gaines, Steven D. & White, Crow & Barth, John A., 2013. "Evaluating tradeoffs among ecosystem services to inform marine spatial planning," Marine Policy, Elsevier, vol. 38(C), pages 80-89.
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