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Estimation of Ecological Connectivity in a City Based on Land Cover and Urban Habitat Maps

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  • Dohee Kim

    (Department of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University, Seoul 08826, Korea
    Transdisciplinary Program in Smart City Global Convergence, Seoul National University, Seoul 08826, Korea)

  • Wonhyeop Shin

    (Transdisciplinary Program in Smart City Global Convergence, Seoul National University, Seoul 08826, Korea
    Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul 08826, Korea)

  • Heejoon Choi

    (Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul 08826, Korea)

  • Jihwan Kim

    (Transdisciplinary Program in Smart City Global Convergence, Seoul National University, Seoul 08826, Korea
    Interdisciplinary Program in Landscape Architecture, Seoul National University, Seoul 08826, Korea)

  • Youngkeun Song

    (Department of Landscape Architecture, Graduate School of Environmental Studies, Seoul National University, Seoul 08826, Korea)

Abstract

Anthropogenic land use has led to the loss and fragmentation of native habitats and disruption to ecosystem processes, resulting in a decline in landscape connectivity and biodiversity. Here, in order to find the potentials of improvements in ecological connectivity, we provide a spatial analysis to present differences in ecological connectivity based on land cover maps and urban habitat maps in Suwon city, Republic of Korea. We generated two permeability maps for use in a network analysis, one being land cover and the other urban habitat, including a 5-km buffer area from the city boundary. We then determined the current-flow betweenness centrality (CFBC) for each map. Our results indicate that forests are typically the most highly connected areas in both maps. However, in the land cover map results, nearly all high-priority areas were in the mountainous region (CFBC value: 0.0100 ± 0.0028), but the urban habitat indicated that grasslands and rivers within the city also significantly contribute to connectivity (CFBC value: 0.0071 ± 0.0022). The CFBC maps developed here could be used as a reference when introducing green infrastructure in cities. Before establishing ecological networks for urban areas, future work should integrate the land use and ecological data of different administrative districts with continuous ecological connection.

Suggested Citation

  • Dohee Kim & Wonhyeop Shin & Heejoon Choi & Jihwan Kim & Youngkeun Song, 2020. "Estimation of Ecological Connectivity in a City Based on Land Cover and Urban Habitat Maps," Sustainability, MDPI, vol. 12(22), pages 1-14, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9529-:d:445808
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    References listed on IDEAS

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    4. Nan Cui & Chen-Chieh Feng & Dan Wang & Jianfei Li & Luo Guo, 2018. "The Effects of Rapid Urbanization on Forest Landscape Connectivity in Zhuhai City, China," Sustainability, MDPI, vol. 10(10), pages 1-17, September.
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    Cited by:

    1. Jiao Jiang & Abudukeyimu Abulizi & Abdugheni Abliz & Abudoukeremujiang Zayiti & Adila Akbar & Bin Ou, 2022. "Construction of Landscape Ecological Security Pattern in the Zhundong Region, Xinjiang, NW China," IJERPH, MDPI, vol. 19(10), pages 1-15, May.

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