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Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP–Markov–PLUS Model: A Case Study of Yimengshan Geopark, China

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  • Junxiong Mo

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Piling Sun

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China
    Rizhao Key Laboratory of Territory Spatial Planning and Ecological Construction, Rizhao 276962, China
    College of Land Science and Technology, China Agriculture University, Beijing 100193, China)

  • Dandan Shen

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Nan Li

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Jinye Zhang

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

  • Kun Wang

    (School of Geography and Tourism, Qufu Normal University, Rizhao 276826, China)

Abstract

The foundation for accurately understanding regional land-use structures and pursuing the coordination of human–land relations is the scientific identification and simulation of temporal and spatial evolution patterns of land-use spatial conflict (LUSC). Based on the production–living–ecological space (PLES) perspective, a land-use spatial conflict identification and intensity diagnosis model (LUCSII) was constructed using a landscape ecology index. The methods of geographic information system (GIS), spatial autocorrelation analysis, and mathematical statistics were used to achieve the spatial pattern of LUSC over the last 20 years, and the GMOP–Markov–PLUS model was used to simulate the evolution of LUSC in the future under various scenarios. The results indicated that our established LUCSII could accurately identify potential land-use spatial conflict areas in geoparks. The GMOP–Markov–PLUS model constructed had also scientifically predicted the future land-use patterns under different scenarios, successfully demonstrating the changing process of spatial conflict pattern evolution. The research proposed three different plans for the long-term land use of YG, including ecological protection, economic development, and long-term development perspectives. Finally, the research further emphasized the importance for sustainable development of geoparks. More attention should be paid to the optimal allocation of land-use structure and the coordinated development of human–land relationships.

Suggested Citation

  • Junxiong Mo & Piling Sun & Dandan Shen & Nan Li & Jinye Zhang & Kun Wang, 2023. "Simulation Analysis of Land-Use Spatial Conflict in a Geopark Based on the GMOP–Markov–PLUS Model: A Case Study of Yimengshan Geopark, China," Land, MDPI, vol. 12(7), pages 1-24, June.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1291-:d:1179647
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    References listed on IDEAS

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    1. Kejian Xu & Wenhui Wu, 2022. "Geoparks and Geotourism in China: A Sustainable Approach to Geoheritage Conservation and Local Development—A Review," Land, MDPI, vol. 11(9), pages 1-20, September.
    2. Jiahui Fan & Ya Wang & Zhen Zhou & Nanshan You & Jijun Meng, 2016. "Dynamic Ecological Risk Assessment and Management of Land Use in the Middle Reaches of the Heihe River Based on Landscape Patterns and Spatial Statistics," Sustainability, MDPI, vol. 8(6), pages 1-15, June.
    3. Bircol, Guilherme Augusto Carminato & Souza, Marcelo Pereira de & Fontes, Aurélio Teodoro & Chiarello, Adriano Garcia & Ranieri, Victor Eduardo Lima, 2018. "Planning by the rules: A fair chance for the environment in a land-use conflict area," Land Use Policy, Elsevier, vol. 76(C), pages 103-112.
    4. 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.
    5. Gardiner, Lorraine R. & Steuer, Ralph E., 1994. "Unified interactive multiple objective programming," European Journal of Operational Research, Elsevier, vol. 74(3), pages 391-406, May.
    6. Niu, Hebin & Wang, Jinman & Jing, Zhaorui & Liu, Biao, 2023. "Identification and management of land use conflicts in mining cities: A case study of Shuozhou in China," Resources Policy, Elsevier, vol. 81(C).
    7. Gao, Yuan & Wang, Jinman & Zhang, Min & Li, Sijia, 2021. "Measurement and prediction of land use conflict in an opencast mining area," Resources Policy, Elsevier, vol. 71(C).
    8. Guanglong Dong & Yibing Ge & Haiwei Jia & Chuanzhun Sun & Senyuan Pan, 2021. "Land Use Multi-Suitability, Land Resource Scarcity and Diversity of Human Needs: A New Framework for Land Use Conflict Identification," Land, MDPI, vol. 10(10), pages 1-14, September.
    9. Wackernagel, Mathis & Onisto, Larry & Bello, Patricia & Callejas Linares, Alejandro & Susana Lopez Falfan, Ina & Mendez Garcia, Jesus & Isabel Suarez Guerrero, Ana & Guadalupe Suarez Guerrero, Ma., 1999. "National natural capital accounting with the ecological footprint concept," Ecological Economics, Elsevier, vol. 29(3), pages 375-390, June.
    10. 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.
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