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Ecological Network Optimization in Urban Central District Based on Complex Network Theory: A Case Study with the Urban Central District of Harbin

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  • Shuang Song

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150000, China)

  • Dawei Xu

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150000, China
    Key Lab for Garden Plant Germplasm Development & Landscape Eco-Restoration in Cold Regions of Heilongjiang Province, Harbin 150000, China)

  • Shanshan Hu

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150000, China)

  • Mengxi Shi

    (College of Landscape Architecture, Northeast Forestry University, Harbin 150000, China)

Abstract

Habitat destruction and declining ecosystem service levels caused by urban expansion have led to increased ecological risks in cities, and ecological network optimization has become the main way to resolve this contradiction. Here, we used landscape patterns, meteorological and hydrological data as data sources, applied the complex network theory, landscape ecology, and spatial analysis technology, a quantitative analysis of the current state of landscape pattern characteristics in the central district of Harbin was conducted. The minimum cumulative resistance was used to extract the ecological network of the study area. Optimized the ecological network by edge-adding of the complex network theory, compared the optimizing effects of different edge-adding strategies by using robustness analysis, and put forward an effective way to optimize the ecological network of the study area. The results demonstrate that: The ecological patches of Daowai, Xiangfang, Nangang, and other old districts in the study area are small in size, fewer in number, strongly fragmented, with a single external morphology, and high internal porosity. While the ecological patches in the new districts of Songbei, Hulan, and Acheng have a relatively good foundation. And ecological network connectivity in the study area is generally poor, the ecological corridors are relatively sparse and scattered, the connections between various ecological sources of the corridors are not close. Comparing different edge-adding strategies of complex network theory, the low-degree-first strategy has the most outstanding performance in the robustness test. The low-degree-first strategy was used to optimize the ecological network of the study area, 43 ecological corridors are added. After the optimization, the large and the small ecological corridors are evenly distributed to form a complete network, the optimized ecological network will be significantly more connected, resilient, and resistant to interference, the ecological flow transmission will be more efficient.

Suggested Citation

  • Shuang Song & Dawei Xu & Shanshan Hu & Mengxi Shi, 2021. "Ecological Network Optimization in Urban Central District Based on Complex Network Theory: A Case Study with the Urban Central District of Harbin," IJERPH, MDPI, vol. 18(4), pages 1-20, February.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:4:p:1427-:d:492736
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    References listed on IDEAS

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    Cited by:

    1. Wanqiu Zhang & Zeru Jiang & Huayang Dai & Gang Lin & Kun Liu & Ruiwen Yan & Yuanhao Zhu, 2024. "Modelling Multi-Scenario Ecological Network Patterns and Dynamic Spatial Conservation Priorities in Mining Areas," Land, MDPI, vol. 13(7), pages 1-21, July.
    2. Xu, Aokang & Hu, Mengjun & Shi, Jing & Bai, Qingzhu & Li, Xuehong, 2024. "Construction and optimization of ecological network in inland river basin based on circuit theory, complex network and ecological sensitivity: A case study of Gansu section of Heihe River Basin," Ecological Modelling, Elsevier, vol. 488(C).
    3. Jia, Qi & Zhu, Yian & Zhang, Tiantian & Li, Shuling & Han, Dongliang & Feng, Qi & Tan, Yufei & Li, Baochang, 2024. "Urban microclimate differences in continental zone of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 197(C).
    4. Jun Ma & Qiang Yu & Huiyuan Wang & Linzhe Yang & Ruirui Wang & Minzhe Fang, 2022. "Construction and Optimization of Wetland Landscape Ecological Network in Dongying City, China," Land, MDPI, vol. 11(8), pages 1-22, August.
    5. Gao, Jing & Gong, Jian & Li, Yao & Yang, Jianxin & Liang, Xun, 2024. "Ecological network assessment in dynamic landscapes: Multi-scenario simulation and conservation priority analysis," Land Use Policy, Elsevier, vol. 139(C).
    6. Qiaoyin Zhang & Yan Wu & Zhiqiang Zhao, 2024. "Identification of Harbin Ecological Function Degradation Areas Based on Ecological Importance Assessment and Ecological Sensitivity," Sustainability, MDPI, vol. 16(16), pages 1-17, August.

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