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Multi-Scenario Simulation of Ecosystem Service Value in Wuhan Metropolitan Area Based on PLUS-GMOP Model

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  • Leizhou Zhu

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430074, China)

  • Yaping Huang

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
    Hubei Engineering and Technology Research Center of Urbanization, Wuhan 430074, China
    The Key Laboratory of Urban Simulation for Ministry of Natural Resources, Wuhan 430074, China)

Abstract

Rapid construction and development activities in large urban areas have significantly impacted land use and land cover (LULC). They have brought great pressure to urban sustainable development. Current studies have shown that changes in LULC structure significantly affect regional ecosystem service functions but lack the sufficient scientific basis to provide reasonable strategies for the future development of urban areas. Based on land use and related data for the Wuhan metropolitan area (WMA) in 2000, 2010, and 2020, in this study, we construct a land use and ecosystem service value (ESV) simulation method based on a coupled PLUS-GMOP (patch generation land use simulation and grey multi-objective optimization) model and find that the changes in LULC structure from 2000 to 2020 are mainly reflected in the decrease in farmland and water area and the increase in built-up land, which are spatially reflected in Wuhan city center and other surrounding urban centers. The ESV also exhibits a slight increase and then a significant decrease, and a consistent overall pattern of high in the west and low in the east. By presupposing three scenarios for 2030 (ND, natural development; EFD, ecological first development; EECD, ecological and economic coordinated development), the analysis shows that although the ecological service value is still decreasing, the EECD scenario achieves a relatively high economic value (+90.134 billion yuan) by losing less ecological service value (0.27 million yuan) than EFD, which is the development model advocated in this study. The PLUS-GMOP coupling model proposed in this study provides a scientific reference for coordinating regional economic development and ecological protection in large cities, and provides a new technical path for metropolitan area sustainable development and planning.

Suggested Citation

  • Leizhou Zhu & Yaping Huang, 2022. "Multi-Scenario Simulation of Ecosystem Service Value in Wuhan Metropolitan Area Based on PLUS-GMOP Model," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13604-:d:948683
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    References listed on IDEAS

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    1. Jiao Zhang & Qian Wang & Yiping Xia & Katsunori Furuya, 2022. "Knowledge Map of Spatial Planning and Sustainable Development: A Visual Analysis Using CiteSpace," Land, MDPI, vol. 11(3), pages 1-24, February.
    2. Min Song & Can Hu, 2018. "A Coupling Relationship between the Eco-Environment Carrying Capacity and New-Type Urbanization: A Case Study of the Wuhan Metropolitan Area in China," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    3. Julia von HANXLEDEN & Jan WEDEMEIER, 2019. "Development of metropolitan and non-metropolitan regions: growing disparities in the Europe of 28," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 163-174, December.
    4. Min Zhou & Man Yuan & Yaping Huang & Kaixuan Lin, 2021. "Effects of Institutions on Spatial Patterns of Manufacturing Industries and Policy Implications in Metropolitan Areas: A Case Study of Wuhan, China," Land, MDPI, vol. 10(7), pages 1-16, July.
    5. Keyue Yuan & Fei Li & Haijuan Yang & Yiming Wang, 2019. "The Influence of Land Use Change on Ecosystem Service Value in Shangzhou District," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    6. Mekonnen H. Daba & Songcai You, 2022. "Quantitatively Assessing the Future Land-Use/Land-Cover Changes and Their Driving Factors in the Upper Stream of the Awash River Based on the CA–Markov Model and Their Implications for Water Resources," Sustainability, MDPI, vol. 14(3), pages 1-29, January.
    7. Yongjun Du & Xiaolong Li & Xinlin He & Xiaoqian Li & Guang Yang & Dongbo Li & Wenhe Xu & Xiang Qiao & Chen Li & Lu Sui, 2022. "Multi-Scenario Simulation and Trade-Off Analysis of Ecological Service Value in the Manas River Basin Based on Land Use Optimization in China," IJERPH, MDPI, vol. 19(10), pages 1-31, May.
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    1. Fandi Meng & Zhi Zhou & Pengtao Zhang, 2023. "Multi-Objective Optimization of Land Use in the Beijing–Tianjin–Hebei Region of China Based on the GMOP-PLUS Coupling Model," Sustainability, MDPI, vol. 15(5), pages 1-22, February.

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