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Construction and Optimization of Ecological Security Pattern Network Based on the Supply–Demand Ratio of Ecosystem Services: A Study from Chengdu–Chongqing Economic Circle, China

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  • Dongjie Guan

    (School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
    Research Center for Ecological Security and Green Development, Chongqing Academy of Social Sciences, Chongqing 400020, China)

  • Qiongyao Chang

    (School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China)

  • Lilei Zhou

    (School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China
    Research Center for Ecological Security and Green Development, Chongqing Academy of Social Sciences, Chongqing 400020, China)

  • Kangwen Zhu

    (School of Smart City, Chongqing Jiaotong University, Chongqing 400074, China)

  • Guochuan Peng

    (Research Center for Ecological Security and Green Development, Chongqing Academy of Social Sciences, Chongqing 400020, China
    Institute for Ecology and Environmental Resources, Chongqing Academy of Social Sciences, Chongqing 400020, China)

Abstract

The exploration of ecological security patterns (ESPs) can help people find those areas that are in urgent need of restoration, which is an effective way to realize ecological protection. It is of utmost significance for promoting regional sustainable development to construct ESP and put forward sub-regional optimization suggestions based on the supply and demand ratio of ecosystem services (ESs). In this paper, we assessed the level of supply and demand for five ESs based on multi-source data in 2020 with the help of InVEST, ArcGIS, and IUEMS. Based on the results of supply and demand, we calculated the supply and demand ratio of ESs and extracted the ecological source areas (ESAs) on this basis. Then, we used the Linkage Mapper tool to construct the ESP based on the principle of the minimum cumulative resistance (MCR) model and circuit theory in the Chengdu–Chongqing economic circle (CCEC). Our results indicated that there were apparent spatial differences in the supply and demand of five ESs. There were 35 ESAs in the ESP network, covering an area of about 7914 km 2 , and most of their land use types were woodland. The CCEC was interconnected by a network of 91 ecological corridors (ECs), spanning a total length of approximately 10,701 km. From the ECs, we extracted 29 ecological pinch points (EPPs) and 16 ecological barrier points (EBPs), which each accounted for about 0.3% of the planned area of the CCEC. Finally, we divided the ecological spaces into four types and put forward the corresponding optimization suggestions. Among them, the proportion of ecological restoration area was 7.7%, which was located in Chengdu City, northwest of the study area. The findings of this paper can give some theoretical guidance and serve as a reference for making decisions in the pursuit of ecological civilization in this region.

Suggested Citation

  • Dongjie Guan & Qiongyao Chang & Lilei Zhou & Kangwen Zhu & Guochuan Peng, 2024. "Construction and Optimization of Ecological Security Pattern Network Based on the Supply–Demand Ratio of Ecosystem Services: A Study from Chengdu–Chongqing Economic Circle, China," Land, MDPI, vol. 13(6), pages 1-22, June.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:844-:d:1414360
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    References listed on IDEAS

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    1. Jiaquan Duan & Yue ‘e Cao & Bo Liu & Yinyin Liang & Jinyu Tu & Jiahui Wang & Yeyang Li, 2023. "Construction of an Ecological Security Pattern in Yangtze River Delta Based on Circuit Theory," Sustainability, MDPI, vol. 15(16), pages 1-16, August.
    2. 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.
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