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Construction and Restoration of Landscape Ecological Network in Urumqi City Based on Landscape Ecological Risk Assessment

Author

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  • Yongyu Zhao

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Alimujiang Kasimu

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China
    Urbanization Development Research Center of the Silk Road Economic Belt, Xinjiang Normal University, Urumqi 830054, China)

  • Hongwu Liang

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

  • Rukeya Reheman

    (School of Geography and Tourism, Xinjiang Normal University, Urumqi 830054, China)

Abstract

The ecological protection and sustainable development of Urumqi have become an important part of the high-quality growth of the urban agglomeration on the northern slope of Tianshan Mountain. Under the impacts of multi-source factors, the ecological landscape pattern of Urumqi has changed due to it being in a fragile eco-environment, so an ecological network is desperately needed to enhance ecological security patterns. Taking Urumqi city as the study area, the ecological risk evaluation model and the minimum cumulative resistance model were integrated to analyze the spatial and temporal features of landscape ecological risk from 2000 to 2020, and the future land use simulation model was used to predict the ecological risk pattern of Urumqi in 2030, construct a landscape ecological network, and propose ecological security protection strategies. Since 2000, land use in Urumqi has undergone drastic changes: the built-up land area has increased significantly, the landscape has diversified, and landscape fragmentation has shown a decreasing trend from the main urban area as the core to the urban fringe. The high-risk landscape ecology shows a decreasing trend from east to west, mainly in the bare land areas with sparse vegetation, whereas the risk is relatively low in woodland, arable land, and built-up areas. The change of risk in the study area is mainly influenced by the typical defective factors of oasis cities such as urban expansion, land desertification, and sparse vegetation. The landscape ecological network is mainly located in the southwest, central, and east of the study area, whereas there is no corridor distribution in the north and southeast, which is mainly caused by the special geographical location and climatic conditions. The ecological network mainly consists of 10 ecological sources and 10 ecological corridors and proposes conservation strategies for the optimization of the landscape pattern and for the construction of the ecological security pattern in Urumqi, providing a guide for the improvement of ecological security.

Suggested Citation

  • Yongyu Zhao & Alimujiang Kasimu & Hongwu Liang & Rukeya Reheman, 2022. "Construction and Restoration of Landscape Ecological Network in Urumqi City Based on Landscape Ecological Risk Assessment," Sustainability, MDPI, vol. 14(13), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8154-:d:855445
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Lina Tang & Alimujiang Kasimu & Haitao Ma & Mamattursun Eziz, 2023. "Monitoring Multi-Scale Ecological Change and Its Potential Drivers in the Economic Zone of the Tianshan Mountains’ Northern Slopes, Xinjiang, China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    2. Haoran Fan & Qi Si & Wenming Dong & Gang Lu & Xinping Liu, 2023. "Land Use Change and Landscape Ecological Risk Prediction in Urumqi under the Shared Socio-Economic Pathways and the Representative Concentration Pathways (SSP-RCP) Scenarios," Sustainability, MDPI, vol. 15(19), pages 1-21, September.
    3. Jia Xu & Dawei Xu & Chen Qu, 2022. "Construction of Ecological Security Pattern and Identification of Ecological Restoration Zones in the City of Changchun, China," IJERPH, MDPI, vol. 20(1), pages 1-20, December.
    4. Huiqing Han & Zhihua Su & Guangbin Yang, 2023. "Variations of Habitat Quality and Ecological Risk and Their Correlations with Landscape Metrics in a Robust Human Disturbed Coastal Region—Case Study: Xinggang Town in Southern China," IJERPH, MDPI, vol. 20(4), pages 1-20, February.
    5. Xueling Zhang & Alimujiang Kasimu & Hongwu Liang & Bohao Wei & Yimuranzi Aizizi, 2022. "Spatial and Temporal Variation of Land Surface Temperature and Its Spatially Heterogeneous Response in the Urban Agglomeration on the Northern Slopes of the Tianshan Mountains, Northwest China," IJERPH, MDPI, vol. 19(20), pages 1-21, October.
    6. Fengyu Wang & Shuai Tong & Yun Chu & Tianlong Liu & Xiang Ji, 2023. "Spatio-Temporal Evolution of Key Areas of Territorial Ecological Restoration in Resource-Exhausted Cities: A Case Study of Jiawang District, China," Land, MDPI, vol. 12(9), pages 1-25, September.
    7. Shaobo Liu & Yiting Xia & Yifeng Ji & Wenbo Lai & Jiang Li & Yicheng Yin & Jialing Qi & Yating Chang & Hao Sun, 2023. "Balancing Urban Expansion and Ecological Connectivity through Ecological Network Optimization—A Case Study of ChangSha County," Land, MDPI, vol. 12(7), pages 1-21, July.
    8. Yongyu Zhao & Alimujiang Kasimu & Pengwen Gao & Hongwu Liang, 2022. "Spatiotemporal Changes in The Urban Landscape Pattern and Driving Forces of LUCC Characteristics in The Urban Agglomeration on The Northern Slope of The Tianshan Mountains from 1995 to 2018," Land, MDPI, vol. 11(10), pages 1-18, October.

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