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Multi-Scenario Land Use Simulation and Land Use Conflict Assessment Based on the CLUMondo Model: A Case Study of Liyang, China

Author

Listed:
  • Xiangnan Fan

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Yuning Cheng

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Yicheng Li

    (School of Horticulture and Landscape Architecture, Southwest University, Chongqing 400715, China)

Abstract

By predicting and analyzing regional land use conflicts (LUCs), the contradictory relationship between urban development and land resources can be revealed, which can assist in achieving the rational use of land resources. Taking Liyang as a case study, this paper simulated land use in 2030 under three scenarios, namely, the natural growth scenario (NGS), economic development scenario (EDS), and ecological protection scenario (EPS), using the CLUMondo model. The ecological risk assessment model was used to measure the LUCs under each scenario. Through the comprehensive analysis of land use conversion, spatial distribution, and the change characteristics of LUCs, optimization strategies for future land use are proposed. The results indicate that (1) the intensity of land conversion under the three scenarios is ranked as EDS > NGS > EPS; (2) there is little change in the LUCs under the EPS, while significant deterioration is observed under the NGS and EDS; (3) the intensity of LUCs is positively correlated with the degree of land use conversion; and (4) in the future, particular attention should be paid to areas around the city center, the Caoshan Development Zone in the northwest, and Nanshan Bamboo Sea in the south, where high-intensity land use conflicts may occur.

Suggested Citation

  • Xiangnan Fan & Yuning Cheng & Yicheng Li, 2023. "Multi-Scenario Land Use Simulation and Land Use Conflict Assessment Based on the CLUMondo Model: A Case Study of Liyang, China," Land, MDPI, vol. 12(4), pages 1-26, April.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:917-:d:1127692
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    References listed on IDEAS

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    1. Jing Zhang & Yan Chen & Congmou Zhu & Bingbing Huang & Muye Gan, 2021. "Identification of Potential Land-Use Conflicts between Agricultural and Ecological Space in an Ecologically Fragile Area of Southeastern China," Land, MDPI, vol. 10(10), pages 1-18, September.
    2. Zhang, Honghui & Zeng, Yongnian & Jin, Xiaobin & Shu, Bangrong & Zhou, Yinkang & Yang, Xuhong, 2016. "Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China," Ecological Modelling, Elsevier, vol. 320(C), pages 334-347.
    3. Le Yin & Erfu Dai & Guopan Xie & Baolei Zhang, 2021. "Effects of Land-Use Intensity and Land Management Policies on Evolution of Regional Land System: A Case Study in the Hengduan Mountain Region," Land, MDPI, vol. 10(5), pages 1-13, May.
    4. Xiangnan Fan & Yuning Cheng & Fangqi Tan & Tianyi Zhao, 2022. "Construction and Optimization of the Ecological Security Pattern in Liyang, China," Land, MDPI, vol. 11(10), pages 1-28, September.
    5. Pengnan Xiao & Jie Xu & Chong Zhao, 2022. "Conflict Identification and Zoning Optimization of “Production-Living-Ecological” Space," IJERPH, MDPI, vol. 19(13), pages 1-27, June.
    6. Jiaxing Cui & Xuesong Kong & Jing Chen & Jianwei Sun & Yuanyuan Zhu, 2021. "Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt," Land, MDPI, vol. 10(1), pages 1-24, January.
    7. Ziqian Kang & Shuo Wang & Ling Xu & Fenglin Yang & Shushen Zhang, 2021. "Suitability assessment of urban land use in Dalian, China using PNN and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(1), pages 913-936, March.
    8. Guoqiang Qiu & Yinghong Wang & Shanshan Guo & Qian Niu & Lin Qin & Di Zhu & Yunlong Gong, 2022. "Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
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