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Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China

机译:城市化与景观格局对杭州OLS和GWR模型对栖息地质量的影响

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摘要

China has experienced the most serious habitat degradation, especially in fast-growing metropolis cities. Although increasing attentions have been brought to this issue, we still lack the understanding of the quanti-tative impacts of urbanization and landscape pattern on habitats. In this study, we used the "Integrated Valuation of Environmental Services and Trade-off" (InVEST) model to evaluate the habitat quality in Hangzhou city. We further employed spatial auto-correlation to analyze its spatiotemporal pattern variation characteristics. Finally, the ordinary least squares (OLS) and geographically weighted regression (GWR) models were used to explore the impacts of urbanization and landscape pattern change on habitat quality. The results show that the habitat quality index of Hangzhou decreased from 0.608 to 0.577 during 2004-2015, and these areas mainly located around the suburb decreased significantly. The spatial distribution of habitat quality showed sig-nificantly positive spatial auto-correlation, and the overall spatial auto-correlation degree of the habitat quality increased during this time. Rapid urbanization has significant negative effects on habitat quality in various areas, while the magnitude and direction of the impacts of landscape pattern on habitat quality differed in time and space. These results provide decision-making criteria for formulating differential urban development policies and landscape management measures for urban ecological sustainability.
机译:中国经历了最严重的栖息地退化,特别是在快速增长的大都市城市。虽然提高了以下问题,但我们仍然缺乏对城市化和景观模式对栖息地的量化影响的理解。在这项研究中,我们利用“环境服务的综合估值和权衡”(投资)模型来评估杭州市栖息地质量。我们进一步采用了空间自相关,以分析其时空模式变化特性。最后,普通的最小二乘(OLS)和地理加权回归(GWR)模型用于探索城市化和景观模式变化对栖息地质量的影响。结果表明,杭州的栖息地质量指数在2004 - 2015年期间从0.608减少到0.577,这些地区主要位于郊区周围显着下降。栖息地质量的空间分布表现出显着的积极空间自动相关,并且在此期间,栖息地质量的总空间自相关程度增加。快速城市化对各个领域的栖息地质量具有显着的负面影响,而景观格局对栖息地质量的影响的幅度和方向在时间和空间中不同。这些结果提供了制定差异城市发展政策和城市生态可持续性景观管理措施的决策标准。

著录项

  • 来源
    《Ecological indicators》 |2020年第2期|106654.1-106654.11|共11页
  • 作者单位

    Zhejiang Univ Coll Environm & Resource Sci Inst Agr Remote Sensing & Informat Technol Hangzhou 310058 Peoples R China;

    City Univ Hong Kong Dept Publ Policy Urban Res Grp Kowloon Tat Chee Ave Hong Kong Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Inst Agr Remote Sensing & Informat Technol Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Inst Agr Remote Sensing & Informat Technol Hangzhou 310058 Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Inst Agr Remote Sensing & Informat Technol Hangzhou 310058 Peoples R China;

    Zhejiang Univ Finance & Econ Sch Publ Adm Hangzhou 310018 Zhejiang Peoples R China;

    Zhejiang Univ Coll Environm & Resource Sci Inst Agr Remote Sensing & Informat Technol Hangzhou 310058 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Habitat quality; Urbanization; Landscape pattern; Geographical weighted regression; Hangzhou;

    机译:栖息地质量;城市化;景观模式;地理加权回归;杭州;

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