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Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment

Author

Listed:
  • Min Liu

    (College of Resource and Environment, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Jianpeng Fan

    (School of Economics Management, Pingdingshan University, Pingdingshan 467000, China)

  • Yuanzheng Li

    (College of Resource and Environment, Henan University of Economics and Law, Zhengzhou 450046, China)

  • Qizheng Mao

    (College of Resource and Environment, Henan University of Economics and Law, Zhengzhou 450046, China)

Abstract

By using the methods of scenario analysis, model simulation, and the multi-objective spatial optimisation algorithm Non-dominated Sorting Genetic Algorithm-II (NSGA-II), the Pareto optimal solutions for water supply, water purification (N retention), as well as carbon storage and sequestration service (carbon service) of the Central Plains Urban Agglomeration (CPUA) were sought by adjusting the land use structure. It showed that, to reach the Pareto optimal solution goal, (1) in Scenario 1 (S1), the water supply service needs to increase by 10.682 billion cubic metres, the water purification (N retention) service needs to decrease by 11,400 tons, and the carbon service need to decrease by 2.487 billion tons. In Scenario 2 (S2), the water supply service needs to increase by 8.243 billion cubic metres, the water purification (N retention) service needs to decrease by 11,000 tons, and the carbon service needs to decrease by 2.466 billion tons. In Scenario 3 (S3), the water supply service needs to increase by 4.089 billion cubic metres, the water purification (N retention) service needs to decrease by 10,800 tons, and the carbon service needs to decrease by 2.380 billion tons. (2) After land use optimisation and adjustment, the S3 ecological land structure is complete and consistent with the vision of ecological protection and urban development in the study area, which is the optimal scenario. (3) Optimising the ecosystem service supply pattern through land use structure adjustment could balance the overall ecosystem service supply pattern of the study area In regions wherein ecosystem supply is insufficient and there is a spatial mismatch between supply and demand for ecosystem services, this study can guide regional land planning and assist in the formulation of ecosystem service management policies.

Suggested Citation

  • Min Liu & Jianpeng Fan & Yuanzheng Li & Qizheng Mao, 2023. "Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment," Land, MDPI, vol. 12(7), pages 1-27, July.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1430-:d:1195799
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    References listed on IDEAS

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    1. Wu, Xutong & Wang, Shuai & Fu, Bojie & Liu, Yu & Zhu, Yuan, 2018. "Land use optimization based on ecosystem service assessment: A case study in the Yanhe watershed," Land Use Policy, Elsevier, vol. 72(C), pages 303-312.
    2. Xu, Hui & Brown, Daniel G. & Moore, Michael R. & Currie, William S., 2018. "Optimizing Spatial Land Management to Balance Water Quality and Economic Returns in a Lake Erie Watershed," Ecological Economics, Elsevier, vol. 145(C), pages 104-114.
    3. Stephen Polasky & Erik Nelson & Derric Pennington & Kris Johnson, 2011. "The Impact of Land-Use Change on Ecosystem Services, Biodiversity and Returns to Landowners: A Case Study in the State of Minnesota," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(2), pages 219-242, February.
    4. Langemeyer, Johannes & Gómez-Baggethun, Erik & Haase, Dagmar & Scheuer, Sebastian & Elmqvist, Thomas, 2016. "Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA)," Environmental Science & Policy, Elsevier, vol. 62(C), pages 45-56.
    5. Min Liu & Jianpeng Fan & Yating Wang & Chanjuan Hu, 2021. "Study on Ecosystem Service Value (ESV) Spatial Transfer in the Central Plains Urban Agglomeration in the Yellow River Basin, China," IJERPH, MDPI, vol. 18(18), pages 1-27, September.
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