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Optimization of Land Use Structure Based on the Coupling of GMOP and PLUS Models: A Case Study of Lvliang City, China

Author

Listed:
  • Zhen Wang

    (School of Geographical Sciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
    These authors contributed equally to this work.)

  • Anya Zhong

    (School of Geographical Sciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
    These authors contributed equally to this work.)

  • Quanzhi Li

    (School of Geographical Sciences and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China)

Abstract

Reasonable land use planning and management efficiently allocates land resources, promotes socio-economic development, protects the ecological environment, and fosters sustainable development. It is a crucial foundation for achieving harmonious coexistence between humans and nature. Optimizing land use is key to land use planning and management. Four scenarios are established: an economic development scenario (EDS), an ecological protection scenario (EPS), a natural development scenario (NDS), and a coordinated development scenario (CDS). This study simulates land use patterns under these scenarios through the coupling of the GMOP and PLUS models. It analyzes the land use efficiency transformation index, landscape ecological index, comprehensive land use benefits, and ecosystem service value (ESV) for each pattern. The optimal land use pattern is determined by balancing these factors. The results indicated that under the CDS, the areas of wasteland, grassland, forest land, water bodies, construction land, and unused land in Lvliang City were 6724.29 km 2 , 6664.74 km 2 , 6581.84 km 2 , 126.94 km 2 , 1017.33 km 2 , and 0.42 km 2 , respectively. This represented the optimal land use plan for Lvliang City. The plan minimized human interference with the landscape pattern, achieved the highest land use efficiency transformation index, and reached a reasonable balance between land use benefits and ESV. The research findings provide valuable insights and decision support for regional land use planning, territorial space planning, and related policy formulation.

Suggested Citation

  • Zhen Wang & Anya Zhong & Quanzhi Li, 2024. "Optimization of Land Use Structure Based on the Coupling of GMOP and PLUS Models: A Case Study of Lvliang City, China," Land, MDPI, vol. 13(8), pages 1-19, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1335-:d:1461918
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    References listed on IDEAS

    as
    1. Han Liu & Yu Wang & Lingling Sang & Caisheng Zhao & Tengyun Hu & Hongtao Liu & Zheng Zhang & Shuyu Wang & Shuangxi Miao & Zhengshan Ju, 2023. "Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing," Land, MDPI, vol. 12(9), pages 1-22, September.
    2. Yun Jiang & Guoming Du & Hao Teng & Jun Wang & Haolin Li, 2023. "Multi-Scenario Land Use Change Simulation and Spatial Response of Ecosystem Service Value in Black Soil Region of Northeast China," Land, MDPI, vol. 12(5), pages 1-21, April.
    3. 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.
    4. 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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