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Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries

Author

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  • Xuebin Zhang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China
    Gansu Engineering Research Center of Land Utilization and Comprehension Consolidation, Lanzhou 730070, China)

  • Litang Yao

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Jun Luo

    (College of Resources and Environment, Gansu Agricultural University, Lanzhou 730070, China)

  • Wenjuan Liang

    (Human Resources Department, Jinchuan Group Thermoelectric Co., Ltd., Jinchang 737100, China)

Abstract

The Belt and Road Initiative (BRI) has revealed that it is necessary to strengthen research on land use and land cover change (LUCC) and ecological risk in key regions of countries around the world. In this study, the spatiotemporal characteristics of LUCC in the five capitals of Central Asian countries within the BRI were analyzed. Based on the grid scale, a landscape pattern index was introduced to quantitatively evaluate the landscape ecological risk levels of the five capitals. The results showed the following: first, the components of land use types in the five capitals have different structural characteristics, which are mainly grassland, unused land, and cultivated land. The landscape types that changed significantly were water and unused land, while the construction land area showed a trend of continuous increase. Second, different capitals have different land-use transfer patterns. Akmola State is mainly converted from cultivated land to grassland; Chuy State is mainly converted from forest land to grassland; Dushanbe and Tashkent City are mainly converted from grassland to forestland; and Ahal State is mainly converted from grassland to unused land. Third, the overall landscape ecological risks of the five capitals were low. Akmola State had the largest proportion of lowest ecological risk areas, whereas Chuy State and Dushanbe City had an increasing trend of highest ecological risk areas. The level of ecological risk in Tashkent remained stable during the study period, and the highest ecological risk areas in Ahal State decreased to 49,227.86 km 2 . This study has enriched the research results of land use change and landscape ecological risk assessment of countries within the BRI and can provide a research reference for these countries and regions to achieve ecological sustainable development and strengthen ecosystem management.

Suggested Citation

  • Xuebin Zhang & Litang Yao & Jun Luo & Wenjuan Liang, 2022. "Exploring Changes in Land Use and Landscape Ecological Risk in Key Regions of the Belt and Road Initiative Countries," Land, MDPI, vol. 11(6), pages 1-22, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:940-:d:842027
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    Cited by:

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    2. Dongchuan Wang & Hua Chai & Zhiheng Wang & Kangjian Wang & Hongyi Wang & Hui Long & Jianshe Gao & Aoze Wei & Sirun Wang, 2022. "Dynamic Monitoring and Ecological Risk Analysis of Lake Inundation Areas in Tibetan Plateau," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    3. Ying Han & Jianfeng Zhu & Donglan Wei & Fangxiong Wang, 2022. "Spatial-Temporal Effect of Sea–Land Gradient on Land Use Change in Coastal Zone: A Case Study of Dalian City," Land, MDPI, vol. 11(8), pages 1-17, August.
    4. Litang Yao & Xuebin Zhang & Jun Luo & Xuehong Li, 2023. "Identification of Ecological Management Zoning on Arid Region from the Perspective of Risk Assessment," Sustainability, MDPI, vol. 15(11), pages 1-22, June.
    5. Lei Zhao & Zhengtao Shi & Guangxiong He & Li He & Wenfei Xi & Qin Jiang, 2023. "Land Use Change and Landscape Ecological Risk Assessment Based on Terrain Gradients in Yuanmou Basin," Land, MDPI, vol. 12(9), pages 1-19, September.
    6. Jing Bian & Feng Lan & Zhao Hui & Jiamin Bai & Yuanping Wang, 2022. "Ecological Well-Being Performance Evaluation of Chinese Major Node Cities along the Belt and Road," Land, MDPI, vol. 11(11), pages 1-19, October.

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