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Spatiotemporal Evolution and Obstacle Factor Analysis of Land Ecological Security in the Surrounding Areas of Beijing, China

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  • Yutong Wang

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China)

  • Jianyu Yang

    (College of Land Science and Technology, China Agricultural University, Beijing 100083, China)

Abstract

Land ecological security is essential for sustainable land resource use and socioeconomic development. This study presents an evaluation index system combining single-indicator quantification, multi-indicator integration, and multi-criteria comprehensive assessment. It evaluates the land ecological security of 13 regions in the surrounding areas of Beijing from 2012 to 2021. Using Natural Breaks classification and hotspot and coldspot analysis, the study explores the temporal trends and spatial patterns of land ecological security. The obstacle degree model identifies constraining factors, and geographically weighted regression analyzes spatial heterogeneity. The results show the following: (1) The land ecological security index increased from 2012 to 2021, with rapid growth in southeastern Beijing and the three northern counties of Langfang, indicating high security levels. (2) The land ecological security of the region exhibits a symmetrical north–south distribution, with high-security areas concentrated in the Langfang Urban Area, Sanhe City, and Dachang County, while low-security areas are primarily found in Chicheng and Zhuolu counties. (3) The key factors hindering land ecological security are land economic density, fixed-asset investment per unit area, and GDP growth rate, with varying impacts across counties, showing significant spatial heterogeneity.

Suggested Citation

  • Yutong Wang & Jianyu Yang, 2025. "Spatiotemporal Evolution and Obstacle Factor Analysis of Land Ecological Security in the Surrounding Areas of Beijing, China," Land, MDPI, vol. 14(3), pages 1-25, February.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:457-:d:1597692
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    References listed on IDEAS

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    1. Basu, Tirthankar & Das, Arijit, 2024. "Urbanization induced changes in land use dynamics and its nexus to ecosystem service values: A spatiotemporal investigation to promote sustainable urban growth," Land Use Policy, Elsevier, vol. 144(C).
    2. Pingyang Han & Haozhi Hu & Mengting Jiang & Min Wang, 2024. "Construction of Wetland Ecological Security Pattern in Wuhan Metropolitan Core Area Considering Wetland Ecological Risk," Land, MDPI, vol. 13(9), pages 1-26, September.
    3. Hengzhou Xu & Zhongyue Li & Luyu Guo & Yingfei Liu, 2025. "The Impact of Innovative City Pilot Policy on Urban Land Green Use Efficiency: A Quasi-Natural Experiment from China," Land, MDPI, vol. 14(1), pages 1-19, January.
    4. Renyi Yang & Wanying Du & Zisheng Yang, 2021. "Spatiotemporal Evolution and Influencing Factors of Urban Land Ecological Security in Yunnan Province," Sustainability, MDPI, vol. 13(5), pages 1-17, March.
    5. Eda Ustaoglu & Brendan Williams, 2022. "Institutional Settings and Effects on Agricultural Land Conversion: A Global and Spatial Analysis of European Regions," Land, MDPI, vol. 12(1), pages 1-35, December.
    6. Kaize Zhang & Juqin Shen & Ran He & Bihang Fan & Han Han, 2019. "Dynamic Analysis of the Coupling Coordination Relationship between Urbanization and Water Resource Security and Its Obstacle Factor," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    7. Yuelong Su & Yucheng Liu & Yong Zhou & Jiakang Liu, 2024. "Research on the Coupling and Coordination of Land Ecological Security and High-Quality Agricultural Development in the Han River Basin," Land, MDPI, vol. 13(10), pages 1-28, October.
    8. Lesong Zhao & Guangsheng Liu & Chunlong Xian & Jiaqi Nie & Yao Xiao & Zhigang Zhou & Xiting Li & Hongmei Wang, 2022. "Simulation of Land Use Pattern Based on Land Ecological Security: A Case Study of Guangzhou, China," IJERPH, MDPI, vol. 19(15), pages 1-20, July.
    9. Song Yu & Lulu Yang & Zhenjiang Song & Wenbo Li & Yongmei Ye & Bin Liu, 2023. "Measurement of Land Ecological Security in the Middle and Lower Reaches of the Yangtze River Base on the PSR Model," Sustainability, MDPI, vol. 15(19), pages 1-16, September.
    10. Zhijuan Han & Shu Wu & Jie Liu, 2024. "Land Use Change and Its Impact on the Quality of the Ecological Environment in Xinjiang," Sustainability, MDPI, vol. 16(22), pages 1-17, November.
    11. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    12. Yanlong Guo & Peiyu He & Pengyu Chen & Linfu Zhang, 2024. "Ecological Evaluation of Land Resources in the Yangtze River Delta Region by Remote Sensing Observation," Land, MDPI, vol. 13(8), pages 1-17, July.
    13. Mancini, Maria Serena & Galli, Alessandro & Coscieme, Luca & Niccolucci, Valentina & Lin, David & Pulselli, Federico Maria & Bastianoni, Simone & Marchettini, Nadia, 2018. "Exploring ecosystem services assessment through Ecological Footprint accounting," Ecosystem Services, Elsevier, vol. 30(PB), pages 228-235.
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