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Study on the Dynamic Change of Land Use in Megacities and Its Impact on Ecosystem Services and Modeling Prediction

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  • Xinyu Yan

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230601, China)

  • Muyi Huang

    (School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China
    Anhui Provincial Key Laboratory of Environmental Pollution Control and Resource Reuse, Hefei 230601, China
    Anhui Institute of Ecological Civilization, Hefei 230601, China
    Anhui Institute of Land Spatial Planning and Ecology, Hefei 230601, China)

  • Yuru Tang

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230601, China)

  • Qin Guo

    (School of Architecture and Planning, Anhui Jianzhu University, Hefei 230601, China)

  • Xue Wu

    (School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China)

  • Guozhao Zhang

    (School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China)

Abstract

Under the background of rapid urbanization, strengthening the research on the response and dynamic mechanism of ecosystem services to land use is conducive to the optimization of land space and ecological restoration and governance in megacities. Using Hefei City as a case study, we examined specific ecosystem services and analyzed how water yield, habitat quality, carbon storage, and soil conservation changed over time from 2000 to 2020. We utilized spatial information technology and the InVEST model to assess these changes. Additionally, we developed a comprehensive ecological service index (CES) and used Geodetector and regression models to investigate how ecosystem services responded to land use. In addition, we utilized the Patch-generating Land Use Simulation Model (PLUS) to simulate the spatial distribution of land use in 2030. This was performed under four different scenarios: natural development (ND), urban development (UD), cultivated land protection (CP), and ecological protection (EP). Furthermore, we assessed the effects of these land-use changes on ecosystem service functions by integrating the PLUS results with InVEST. The findings indicate the following: (1) between 2000 and 2020, farmland consistently remained the dominant land-use type in Hefei City while construction land experienced significant growth. Land-use conversion was prevalent during this period, and each ecological indicator exhibited noticeable geographic variation; (2) during the past 20 years, the comprehensive ecosystem service index (CES) exhibited clear spatial clustering patterns. The different types of land use showed significant quantitative relationships with CES. Specifically, cultivated land, forest land, grassland, and water area had positive correlations, while construction land had a negative correlation. Geodetector analysis revealed that the proportion of ecological land use had the greatest impact on the spatial differentiation of CES, followed by population density; (3) according to the PLUS simulation, the UD scenario results in a significant conversion of cultivated land and grassland into construction land, leading to the greatest decrease in CES. In the ND scenario, the areas with decreasing CES are mostly areas that have been converted from other land types to construction land. In contrast, the EP scenario shows an increase in forest land and grassland, which promotes the enhancement of multiple ecosystem service functions simultaneously. This indicates that the EP scenario is the most favorable for sustainable land-use development. The study investigates the impact of land-use changes on ecosystem services and evaluates the sustainability of regional land use. The findings have both theoretical and practical significance for effectively managing land use and regulating ecological functions in large cities.

Suggested Citation

  • Xinyu Yan & Muyi Huang & Yuru Tang & Qin Guo & Xue Wu & Guozhao Zhang, 2024. "Study on the Dynamic Change of Land Use in Megacities and Its Impact on Ecosystem Services and Modeling Prediction," Sustainability, MDPI, vol. 16(13), pages 1-28, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5364-:d:1421047
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    References listed on IDEAS

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    1. Huang, Daquan & Huang, Jing & Liu, Tao, 2019. "Delimiting urban growth boundaries using the CLUE-S model with village administrative boundaries," Land Use Policy, Elsevier, vol. 82(C), pages 422-435.
    2. Zheng, Xinyi & Zhang, Junze & Cao, Shixiong, 2018. "Net value of grassland ecosystem services in mainland China," Land Use Policy, Elsevier, vol. 79(C), pages 94-101.
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    Cited by:

    1. Jingya Liu & Keyu Qin & Yu Xiao & Gaodi Xie, 2024. "Multi-Criteria Decision-Making Scenario Insights into Spatial Responses and Promotion Under Ecosystem Services," Land, MDPI, vol. 13(11), pages 1-15, November.
    2. Ziying Hu & Siyuan Wang, 2025. "Multi-Scenario Simulation of Ecosystem Service Value in Beijing’s Green Belts Based on PLUS Model," Land, MDPI, vol. 14(2), pages 1-19, February.

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