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Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example

Author

Listed:
  • Yu Han

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Chaoyue Yu

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

  • Zhe Feng

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Technology Innovation Center of Land Engineering, Ministry of Natural Resources, Beijing 100035, China
    Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing 100035, China)

  • Hanchu Du

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Caisi Huang

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China)

  • Kening Wu

    (School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
    Technology Innovation Center of Land Engineering, Ministry of Natural Resources, Beijing 100035, China
    Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Natural Resources, Beijing 100035, China)

Abstract

Urbanization is the development trend of all countries in the world, but it has caused considerable ecological problems that need to be alleviated by building ecological security patterns. This study took Ningbo as an example to construct and optimize an ecological security pattern. We analyzed land use types, normalized difference vegetation index, and landscape connectivity for ecological sources selection. In constructing the resistance surface, we considered natural and socio-economic factors. On this basis, we identified ecological corridors based on a minimum cumulative resistance model. Finally, the ecological security pattern was optimized through space syntax. Results showed that Ningbo has 18 ecological sources, with an area of 3051.27 km 2 and 29 ecological corridors, with a length of 1172.18 km. Among them, 11 are first-level, 10 are second-level, and 8 are third-level corridors. After optimization, the area and protection cost of the ecological security pattern were significantly reduced, which can effectively alleviate the trade-off between ecological protection and economic development. This research can provide a reference for the construction and optimization of ecological security patterns and has reference significance for ecological protection in rapidly urbanized areas.

Suggested Citation

  • Yu Han & Chaoyue Yu & Zhe Feng & Hanchu Du & Caisi Huang & Kening Wu, 2021. "Construction and Optimization of Ecological Security Pattern Based on Spatial Syntax Classification—Taking Ningbo, China, as an Example," Land, MDPI, vol. 10(4), pages 1-16, April.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:4:p:380-:d:531079
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    References listed on IDEAS

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    Cited by:

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    6. Yimin Li & Juanzhen Zhao & Jing Yuan & Peikun Ji & Xuanlun Deng & Yiming Yang, 2022. "Constructing the Ecological Security Pattern of Nujiang Prefecture Based on the Framework of “Importance–Sensitivity–Connectivity”," IJERPH, MDPI, vol. 19(17), pages 1-21, August.
    7. Jinzhao Chen & Zhixiong Mei & Bin Wang & Junchao Wei, 2022. "Construction of Ecological Security Patterns Based on Circuit Theory under the Resistance Distance Principle," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    8. Weilun Feng & Yurui Li, 2021. "Measuring the Ecological Safety Effects of Land Use Transitions Promoted by Land Consolidation Projects: The Case of Yan’an City on the Loess Plateau of China," Land, MDPI, vol. 10(8), pages 1-15, July.
    9. Zhenfeng Wang & Yan Liu & Xiangqun Xie & Xinke Wang & Hong Lin & Huili Xie & Xingzhao Liu, 2022. "Identifying Key Areas of Green Space for Ecological Restoration Based on Ecological Security Patterns in Fujian Province, China," Land, MDPI, vol. 11(9), pages 1-19, September.
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