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Construction and Evaluation of Urban Green Infrastructure in Ecologically Vulnerable Areas Based on Multi-Scale and Multi-Objective Approaches: Taking the Four-Lake Hydrographic Network in the Upper Yellow River Basin as an Example

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  • Wenhao Cheng

    (College of Urban and Environment Sciences, Northwest University, Xi’an 710127, China
    College of Geography and Planning, Ningxia University, Yinchuan 750021, China)

  • Caihong Ma

    (College of Geography and Planning, Ningxia University, Yinchuan 750021, China)

Abstract

The construction and optimization of urban green infrastructure (UGI) are regarded as effective strategies for harmonizing the natural landscape with human activities, particularly in ecologically vulnerable areas in the Upper Yellow River Basin, China. However, there is little attention paid to the scale effects and object effects as well as an absence of comprehensive assessments regarding landscape stability. Taking the Four-Lake Hydrographic Network (FLHN) in Shizuishan, a prefecture-level city, as an example, this study focuses on identifying the important sources of UGI by integrating both regional and interregional perspectives utilizing morphological spatial pattern analysis (MSPA). UGI networks were constructed and optimized based on trade-offs and synergizing relationships between individual objects using the minimum cumulative resistance (MCR) model, and the UGI network’s stability combined centrality and connectivity aspects, which were subsequently assessed. The results showed that a total of 19 important sources covering an area of 105.07 km 2 were identified in the FLHN, integrating both regional and interregional levels. It was deemed unnecessary to maintain lengths of 7.79 km key corridors, 9.42 km general corridors, and 29.89 km fragile corridors; furthermore, there was no longer a requirement to upgrade an additional 5.51 km of general corridors and 25.78 km of any corridor, as UGI corridors were extracted based on a trade-off and synthesized objective methodology. The overall connectivity index value ( O G ) of UGI stability with respect to the multi-objective model demonstrated superior performance compared to the same index in scenarios involving the use of a single-objective approach and the straightforward overlay of each object. This study reveals the multifaceted requirements of urban landscape security and sustainability, indicating that multi-scale and multi-objective approaches in territorial space planning not only ensure the integrity of the landscape patterns but also reduce the costs associated with landscape construction. This model can be utilized to implement urban landscape entity protection and restoration for landscapes with various geographical characteristics, and it can provide valuable guidance for similar areas.

Suggested Citation

  • Wenhao Cheng & Caihong Ma, 2024. "Construction and Evaluation of Urban Green Infrastructure in Ecologically Vulnerable Areas Based on Multi-Scale and Multi-Objective Approaches: Taking the Four-Lake Hydrographic Network in the Upper Y," Land, MDPI, vol. 13(12), pages 1-18, December.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:12:p:2065-:d:1534377
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    References listed on IDEAS

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    1. Men, Dan & Pan, Jinghu, 2023. "Ecological network identification and connectivity robustness evaluation in the Yellow River Basin under a multi-scenario simulation," Ecological Modelling, Elsevier, vol. 482(C).
    2. Wenhao Cheng & Caihong Ma & Tongsheng Li & Yuanyuan Liu, 2024. "Construction of Ecological Security Patterns and Evaluation of Ecological Network Stability under Multi-Scenario Simulation: A Case Study in Desert–Oasis Area of the Yellow River Basin, China," Land, MDPI, vol. 13(7), pages 1-19, July.
    3. Berglihn, Elisabeth Cornelia & Gómez-Baggethun, Erik, 2021. "Ecosystem services from urban forests: The case of Oslomarka, Norway," Ecosystem Services, Elsevier, vol. 51(C).
    4. Upadhyay, Shashankaditya & Roy, Arijit & Ramprakash, M. & Idiculla, Jobin & Kumar, A. Senthil & Bhattacharya, Sudeepto, 2017. "A network theoretic study of ecological connectivity in Western Himalayas," Ecological Modelling, Elsevier, vol. 359(C), pages 246-257.
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