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A Framework for Optimizing Green Infrastructure Networks Based on Landscape Connectivity and Ecosystem Services

Author

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  • Xuemin Shi

    (The College of Civil Engineering and Architecture, Henan University, Kaifeng 475004, China)

  • Mingzhou Qin

    (The College of Geography and Environment, Henan University, Kaifeng 475004, China)

  • Bin Li

    (The College of Geography and Environment, Henan University, Kaifeng 475004, China)

  • Dan Zhang

    (Yellow River Conservancy Technical Institute, Kaifeng 475004, China)

Abstract

Optimizing the layout of green infrastructure (GI) is an effective way to alleviate the fragmentation of urban landscapes, coordinate the relationship between urban development and urban ecosystem services, and ensure the sustainable development of cities. This study provides a new technical framework for optimizing GI networks based on a case study of Kaifeng, an exemplar of many ancient cities along the Yellow River in China. To do this, we used a morphological spatial pattern analysis (MSPA) methodology and combined it with Procedure for mAthematical aNalysis of lanDscape evOlution and equilibRium scenarios Assessment (PANDORA) model to determine the hubs of the GI network. Then we employed a least-cost path approach to simulate potential corridors linking the hubs. We further identify the key ‘pinch points’ of the GI network that need priority protection based on circuit theory. Altogether, this framework takes patches that have a high level of ecosystem services and are more important in maintaining overall connectivity as hubs, thereby improving the accuracy of hub identification. Moreover, it establishes a direct connection between GI construction and ecosystem services, and improves biodiversity conservation by optimizing the network structure of GI. The results of the case study show that this framework is suitable for GI planning and construction, and can provide effective technical support for the formulation of urban sustainable development strategies.

Suggested Citation

  • Xuemin Shi & Mingzhou Qin & Bin Li & Dan Zhang, 2021. "A Framework for Optimizing Green Infrastructure Networks Based on Landscape Connectivity and Ecosystem Services," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10053-:d:631652
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    References listed on IDEAS

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    1. Jiaxing Wei & Jing Qian & Yu Tao & Feng Hu & Weixin Ou, 2018. "Evaluating Spatial Priority of Urban Green Infrastructure for Urban Sustainability in Areas of Rapid Urbanization: A Case Study of Pukou in China," Sustainability, MDPI, vol. 10(2), pages 1-14, January.
    2. Xuemin Shi & Mingzhou Qin, 2018. "Research on the Optimization of Regional Green Infrastructure Network," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    3. Ignazio Cannas & Sabrina Lai & Federica Leone & Corrado Zoppi, 2018. "Green Infrastructure and Ecological Corridors: A Regional Study Concerning Sardinia," Sustainability, MDPI, vol. 10(4), pages 1-21, April.
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    Cited by:

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    2. Federica Isola & Sabrina Lai & Federica Leone & Corrado Zoppi, 2022. "Strengthening a Regional Green Infrastructure through Improved Multifunctionality and Connectedness: Policy Suggestions from Sardinia, Italy," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    3. Mingyuan Chang & Longyang Huang & Tianlin Zhai & Jiawei Zhu & Yuanbo Ma & Ling Li & Chenchen Zhao, 2023. "A Challenge of Sustainable Urbanization: Mapping the Equity of Urban Public Facilities in Multiple Dimensions in Zhengzhou, China," Land, MDPI, vol. 12(8), pages 1-22, August.
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    5. Juscidalva Rodrigues de Almeida & Reginaldo de Oliveira Nunes & Teresa Dias, 2021. "People Prefer Greener Corridors: Evidence from Linking the Patterns of Tree and Shrub Diversity and Users’ Preferences in Lisbon’s Green Corridors," Sustainability, MDPI, vol. 13(23), pages 1-19, November.
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    7. Qidi Dong & Linjia Wu & Jun Cai & Di Li & Qibing Chen, 2022. "Construction of Ecological and Recreation Patterns in Rural Landscape Space: A Case Study of the Dujiangyan Irrigation District in Chengdu, China," Land, MDPI, vol. 11(3), pages 1-21, March.

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