首页> 外文期刊>ISPRS International Journal of Geo-Information >Investigating the Spatiotemporally Varying Correlation between Urban Spatial Patterns and Ecosystem Services: A Case Study of Nansihu Lake Basin, China
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Investigating the Spatiotemporally Varying Correlation between Urban Spatial Patterns and Ecosystem Services: A Case Study of Nansihu Lake Basin, China

机译:城市空间格局与生态系统服务的时空变化相关性研究:以南四湖流域为例

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Ecosystem services are the benefits obtained from an ecosystem that have great significance in sustainable development. Urbanization has triggered significant changes on urban spatial patterns, which have had a great impact on the ecosystem services. However, studies on the spatiotemporally varying relationship between urban spatial patterns and ecosystem services are lacking. Taking as a case study, the Nansihu Lake Basin in China, this study aimed to explore the spatiotemporally varying relationship between urban spatial patterns and ecosystem services. Urban spatial patterns were derived by integrating remote sensing and spatial metrics. Ecosystem service values were calculated using ecosystem service models. The spatiotemporally varying impact of urban spatial patterns on ecosystem services was quantified using the Geographically Weighted Regression (GWR) model. The findings indicate that urban spatial patterns and ecosystem services have dramatically varied with the urbanization process. The estimated parameters indicate that urban spatial patterns have significant impacts on ecosystem services. The GWR revealed a spatiotemporally varying correlation and improved the explanatory ability in comparison with the Ordinary Least Squares (OLS) model. The investigation of the impact of urban spatial patterns on ecosystem services can provide more practical support for effective urban planning and ecosystem management.
机译:生态系统服务是从生态系统中获得的利益,对可持续发展具有重大意义。城市化引发了城市空间格局的重大变化,对生态系统服务产生了巨大影响。然而,缺乏关于城市空间格局与生态系统服务之间时空变化关系的研究。以中国南四湖流域为例,该研究旨在探讨城市空间格局与生态系统服务之间的时空变化关系。城市空间格局是通过整合遥感和空间度量得出的。使用生态系统服务模型计算生态系统服务价值。使用地理加权回归(GWR)模型量化了城市空间格局对生态系统服务的时空变化影响。研究结果表明,城市空间格局和生态系统服务随着城市化进程发生了巨大变化。估计参数表明,城市空间格局对生态系统服务具有重大影响。与普通最小二乘(OLS)模型相比,GWR揭示了时空变化的相关性并提高了解释能力。对城市空间格局对生态系统服务影响的调查可以为有效的城市规划和生态系统管理提供更多实际支持。

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