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MaxEnt-Based Evaluation of Cultivated Land Suitability in the Lijiang River Basin, China

Author

Listed:
  • Yu Lin

    (College of Earth Sciences, Guilin University of Technology, Guilin 541006, China)

  • Wei Li

    (College of Earth Sciences, Guilin University of Technology, Guilin 541006, China)

  • Xiangwen Cai

    (College of Earth Sciences, Guilin University of Technology, Guilin 541006, China)

  • Min Wang

    (College of Earth Sciences, Guilin University of Technology, Guilin 541006, China)

  • Wencui Xie

    (College of Earth Sciences, Guilin University of Technology, Guilin 541006, China)

  • Yinglan Lu

    (College of Earth Sciences, Guilin University of Technology, Guilin 541006, China)

Abstract

The Lijiang River Basin (LRB) is a karst ecosystem that presents unique challenges for agricultural land planning. Evaluating cultivated land suitability based on natural factors is critical for ensuring food security in this region. This study was based on the cultivated land distribution data of the LRB in the China Land-Use and Land-Cover Chang dataset, selecting 22 restriction factors across five dimensions: climate, topography, soil, hydrology, and social conditions, and the suitability of cultivated land (paddy fields and drylands) in the LRB was evaluated using the MaxEnt model to further identify the main restricting factors affecting the spatial distribution. The research showed that (1) For paddy fields, high-suitability areas covered 2875.05 km 2 , medium-suitability 1670.58 km 2 , low-suitability 3187.25 km 2 , and non-suitable 9368.46 km 2 . The main restriction factors were distance to villages, slope, surface gravel content, soil thickness, soil pH, and total phosphorus content. (2) For drylands, high-suitability areas covered 3282.3 km 2 , medium-suitability 2260.93 km 2 , low-suitability 4536.27 km 2 , and non-suitable 6836.85 km 2 . The main restriction factors were soil thickness, distance to roads, surface gravel content, elevation, soil pH, and soil texture. This research can provide a scientific basis for the layout of food security and planning agricultural land use in the LRB.

Suggested Citation

  • Yu Lin & Wei Li & Xiangwen Cai & Min Wang & Wencui Xie & Yinglan Lu, 2025. "MaxEnt-Based Evaluation of Cultivated Land Suitability in the Lijiang River Basin, China," Sustainability, MDPI, vol. 17(13), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5875-:d:1687939
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    References listed on IDEAS

    as
    1. Cheng Han & Shengbo Chen & Yan Yu & Zhengyuan Xu & Bingxue Zhu & Xitong Xu & Zibo Wang, 2021. "Evaluation of Agricultural Land Suitability Based on RS, AHP, and MEA: A Case Study in Jilin Province, China," Agriculture, MDPI, vol. 11(4), pages 1-23, April.
    2. Zhengxiang Wu & Qingbin Fan & Wen Li & Yong Zhou, 2024. "The Spatial–Temporal Evolution and Impact Mechanism of Cultivated Land Use in the Mountainous Areas of Southwest Hubei Province, China," Land, MDPI, vol. 13(11), pages 1-23, November.
    3. Tingjiang Gan & Qianqian Qian & Zhiqian Liu & Danping Xu, 2024. "Simulation of Suitable Distribution Areas of Magnolia officinalis in China Based on the MaxEnt Model and Analysis of Key Environmental Variables," Agriculture, MDPI, vol. 14(12), pages 1-15, December.
    4. Shahzad Ali & Muhammad Umair & Tyan Alice Makanda & Siqi Shi & Shaik Althaf Hussain & Jian Ni, 2024. "Modeling Current and Future Potential Land Distribution Dynamics of Wheat, Rice, and Maize under Climate Change Scenarios Using MaxEnt," Land, MDPI, vol. 13(8), pages 1-26, July.
    5. Mengmeng Tang & Cuiting Wang & Chunyang Ying & Shuai Mei & Tong Tong & Youhua Ma & Qiang Wang, 2023. "Research on Cultivated Land Quality Restriction Factors Based on Cultivated Land Quality Level Evaluation," Sustainability, MDPI, vol. 15(9), pages 1-12, May.
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    7. Yaming Fan & Minghang Wei & Minqing Li & Zimei Su & Hui Liu, 2025. "Spatio-Temporal Dynamic Impacts of Land Use/Cover Change on Eco-Environment Quality in Li River Basin, China," Sustainability, MDPI, vol. 17(3), pages 1-30, February.
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