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Spatial Grain Effects of Urban Green Space Cover Maps on Assessing Habitat Fragmentation and Connectivity

Author

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  • Yue Lin

    (Institute of Applied Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)

  • Wenzhan An

    (Zhejiang Institute of Territorial Spatial Planning, Hangzhou 310000, China)

  • Muye Gan

    (Institute of Applied Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China
    The Rural Development Academy, Zhejiang University, Hangzhou 310058, China)

  • AmirReza Shahtahmassebi

    (Institute of Applied Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)

  • Ziran Ye

    (Institute of Digital Agriculture, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China)

  • Lingyan Huang

    (School of Business, Zhejiang University City College, Hangzhou 310015, China)

  • Congmou Zhu

    (Institute of Applied Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)

  • Lu Huang

    (The Rural Development Academy, Zhejiang University, Hangzhou 310058, China)

  • Jing Zhang

    (Institute of Applied Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China
    Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518000, China
    Technology Innovation Center for Land Spatial Eco-Restoration in Metropolitan Area, Ministry of Natural Resources, Shanghai 200003, China)

  • Ke Wang

    (Institute of Applied Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China
    The Rural Development Academy, Zhejiang University, Hangzhou 310058, China)

Abstract

The scientific evaluation of landscape fragmentation and connectivity is important for habitat conservation. It is strongly influenced by the spatial resolution of source maps, particularly in urban environments. However, there is limited comprehensive investigation of the spatial grain effect on urban habitat and few in-depth analysis across different urban gradients. In this paper, we scrutinize the spatial grain effects of urban green space (UGS) cover maps (derived from remote sensing imagery and survey data) with respect to evaluating habitat fragmentation and connectivity, comparing among different urban gradient scenarios (downtown, urban periphery, and suburban area) in Hangzhou, a megacity in China. The fragmentation was detected from three indices, including Entropy, Contagion, and Hypsometry. Then morphological spatial pattern analysis (MSPA) was applied for the landscape element identification. The possibility of connectivity (PC) and patch importance (dPC) were proposed for measuring the landscape connectivity based on Cores and Bridges from MSPA results. The results indicate that the farther the location is from downtown, the less sensitive the landscape element proportion to the spatial resolution. Among the three fragmentation indices, the overall hypsometry index has the lowest sensitivity to the spatial resolution, which implies this index’s broader application value. Considering connectivity, high spatial resolution maps are appropriate for analyzing highly heterogeneous urban areas, while medium spatial resolution maps are more applicable to urban periphery and suburban area with larger UGS patches and less fragmentation. This study suggests that the spatial resolution of UGS maps substantially influence habitat fragmentation and connectivity, which is critical for decision making in urban planning and management.

Suggested Citation

  • Yue Lin & Wenzhan An & Muye Gan & AmirReza Shahtahmassebi & Ziran Ye & Lingyan Huang & Congmou Zhu & Lu Huang & Jing Zhang & Ke Wang, 2021. "Spatial Grain Effects of Urban Green Space Cover Maps on Assessing Habitat Fragmentation and Connectivity," Land, MDPI, vol. 10(10), pages 1-18, October.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:10:p:1065-:d:652680
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    References listed on IDEAS

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    1. Jacek Kozak & Elżbieta Ziółkowska & Peter Vogt & Monika Dobosz & Dominik Kaim & Natalia Kolecka & Krzysztof Ostafin, 2018. "Forest-Cover Increase Does Not Trigger Forest-Fragmentation Decrease: Case Study from the Polish Carpathians," Sustainability, MDPI, vol. 10(5), pages 1-24, May.
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    Cited by:

    1. Karolina Zięba-Kulawik & Piotr Wężyk, 2022. "Monitoring 3D Changes in Urban Forests Using Landscape Metrics Analyses Based on Multi-Temporal Remote Sensing Data," Land, MDPI, vol. 11(6), pages 1-19, June.
    2. Shanshan Chen & Dagmar Haase & Bing Xue & Thilo Wellmann & Salman Qureshi, 2021. "Integrating Quantity and Quality to Assess Urban Green Space Improvement in the Compact City," Land, MDPI, vol. 10(12), pages 1-14, December.
    3. 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.
    4. Zixuan Lian & Xianhui Feng, 2022. "Urban Green Space Pattern in Core Cities of the Greater Bay Area Based on Morphological Spatial Pattern Analysis," Sustainability, MDPI, vol. 14(19), pages 1-15, September.

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