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Landscape Ecological Risk Assessment of Zhoushan Island Based on LULC Change

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  • Sizheng Li

    (Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China)

  • Liuzhu Wang

    (Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China)

  • Sheng Zhao

    (Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China)

  • Feng Gui

    (Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316022, China)

  • Qun Le

    (Dinghai Branch Bureau, Natural Resources and Planning Bureau of Zhoushan, Zhoushan 316000, China)

Abstract

Owing to limited land resources and unique ecosystems, islands face more serious ecological risks under the interference of climate change and human activities. In this study, selecting Zhoushan Island as the study area, a landscape ecological risk index model was constructed based on LULC (land use/land cover) data and the landscape ecological risks for Zhoushan Island from 2000 to 2020 were analyzed. The results showed that: (1) From 2000 to 2020, the proportion of forest land and grassland remained above 70%, built-up land expanded from 52.67 km 2 to 123.52 km 2 , and the beach area and ocean on the north side of the island decreased by 23.24 km 2 and 24.87 km 2 , respectively; this was mainly converted into built-up land. (2) The number of landscape patches in Zhoushan Island decreased as the landscape ecological risk index decreased. The landscape ecological risk showed distinct spatial autocorrelation, with lowest-risk and medium-risk areas collectively accounting for 80% and higher-risk and highest-risk areas showing a decline. (3) The landscape ecological risks exhibited distinct spatiotemporal differences. Before 2010, the higher-risk and highest-risk areas were mainly distributed in the mudflat and ocean areas on the northern coast. After 2010, the higher-risk and highest-risk areas are mainly distributed in the central region, which comprises woodland, grassland, and built-up land.

Suggested Citation

  • Sizheng Li & Liuzhu Wang & Sheng Zhao & Feng Gui & Qun Le, 2023. "Landscape Ecological Risk Assessment of Zhoushan Island Based on LULC Change," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9507-:d:1170217
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    References listed on IDEAS

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    Cited by:

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    2. Lu Han & Yanbo Qu & Shufeng Liang & Luyan Shi & Min Zhang & Haiyan Jia, 2024. "Spatiotemporal Differentiation of Land Ecological Security and Optimization Based on GeoSOS-FLUS Model: A Case Study of the Yellow River Delta in China Toward Sustainability," Land, MDPI, vol. 13(11), pages 1-21, November.
    3. Ruifang Deng & Xue Ding & Jinliang Wang, 2023. "Landscape Ecological Risk Assessment and Spatial Pattern Evolution Analysis of the Central Yunnan Urban Agglomeration from 1995 to 2020 Based on Land Use/Cover Change," Sustainability, MDPI, vol. 15(24), pages 1-18, December.
    4. Yao Xiong & Yueling Li & Yunfeng Yang, 2025. "Landscape Ecological Risk Assessment of Peri-Urban Villages in the Yangtze River Delta Based on Ecosystem Service Values," Sustainability, MDPI, vol. 17(15), pages 1-24, August.
    5. Yuan Tian & Ming-Shuo Wang & Qi-Peng Zhang & Chen-Xuan Zhang & Yu-Chen Zhao & Qian Wang, 2025. "Research on Landscape Risks and Their Driving Mechanisms for Sustainable Development in Alpine Meadow Areas," Sustainability, MDPI, vol. 17(20), pages 1-26, October.
    6. Ayinigaer Adili & Biao Wu & Jiayu Chen & Na Wu & Yongxiao Ge & Jilili Abuduwaili, 2024. "Assessment of Landscape Ecological Risk and Its Driving Factors for the Ebinur Lake Basin from 1985 to 2022," Land, MDPI, vol. 13(10), pages 1-20, September.
    7. Jinfeng Xie & Jun Zhao & Sheshu Zhang & Ziyun Sun, 2023. "Optimal Scale and Scenario Simulation Analysis of Landscape Ecological Risk Assessment in the Shiyang River Basin," Sustainability, MDPI, vol. 15(22), pages 1-14, November.
    8. Yang Li & Jiafu Liu & Yue Zhu & Chunyan Wu, 2025. "Assessment of Landscape Ecological Risks Driven by Land Use Change Using Multi-Scenario Simulation: A Case Study of Harbin, China," Land, MDPI, vol. 14(5), pages 1-23, April.

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