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Construction and Optimization of Ecological Network Based on Landscape Ecological Risk Assessment: A Case Study in Jinan

Author

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  • Xvlu Wang

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250000, China)

  • Yingjun Sun

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250000, China)

  • Qinghao Liu

    (School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250000, China)

  • Liguo Zhang

    (Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250000, China)

Abstract

Due to the rapid development of urbanization, land-use types have changed greatly, which has led to many ecological problems. Therefore, the current research objective is to solve the problems in existence in Jinan, so as to determine the existing landscape ecological risks and optimize the landscape structure. Using 2 m high-resolution remote sensing images and related natural economic data, this study evaluated the landscape ecological risk and constructed a full-factor ecological network in Jinan with a landscape ecological risk assessment method (ERI) and a minimum cumulative resistance model (MCR) based on landscape ecology theory. The results showed that: (1) The ERI in Jinan presented a spatial concentration of high value areas in the central and central–eastern regions, while other levels in ERI areas presented a spatial distribution around the ecological regions with high risk. (2) The important corridors were mainly distributed in the south of Jinan, which were stable and not easily destroyed. The corridors in other areas were secondary, mainly passing through cultivated land and urban greenways, which were unstable and susceptible to interference.

Suggested Citation

  • Xvlu Wang & Yingjun Sun & Qinghao Liu & Liguo Zhang, 2023. "Construction and Optimization of Ecological Network Based on Landscape Ecological Risk Assessment: A Case Study in Jinan," Land, MDPI, vol. 12(4), pages 1-19, March.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:4:p:743-:d:1107428
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    References listed on IDEAS

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