标题: Spatio-temporal variation of ecosystem services and the response to urbanization: Evidence based on Shandong province of China

作者: Ren, QR (Ren, Qiran); Liu, DD (Liu, Dandan); Liu, YF (Liu, Yanfang)

来源出版物: ECOLOGICAL INDICATORS 卷: 151 文献号: 110333 DOI: 10.1016/j.ecolind.2023.110333 提前访问日期: MAY 2023 出版年: JUL 2023

摘要: Rapid urbanization has brought about continuous urban expansion, which has put enormous pressure on eco-systems. In this paper, we take both temporal and spatial dimensions into account to discuss the interaction between various ecological services (ESs) and urbanization in Shandong Province based on data at different scales. We utilize the InVEST model for quantifying ESs indicators. Pearson correlation analysis and geograph-ically weighted regression were used to investigate the relationship with the four urbanization indicators. The results of the study indicate that with the development of urbanization, the regulating and supporting services of land in Shandong province show an upward trend. In contrast, the supply services show a downward trend. There is a significant correlation between ESs and urbanization (p < 0.05). Regarding sub-indicators, water yield (WY) increases with urbanization, and carbon sequestration (CS)/grain providing (GP)/habitat quality (HQ) are negatively correlated with the four urbanization indicators. Geographically weighted regressions show that the results fit well only when we choose counties as the study scale, and there is a clear tendency of aggregation. In summary, this paper clarifies the spatio-temporal variation of ESs and the response to urbanization, which provides an effective reference for ecosystem management in Shandong Province. This paper suggests that the government should formulate targeted policies for ecosystem service management in different regions and make appropriate dynamic adjustments to the spatial scale of policy formulation.

作者关键词: Shandong province; Ecosystem services; Urbanization indicators; Spatial distribution pattern

地址: [Ren, Qiran; Liu, Yanfang] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Liu, Dandan] Shanghai Univ Finance & Econ, Inst Finance & Econ, Shanghai 200433, Peoples R China.

通讯作者地址: Liu, YF (通讯作者)，Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址: yfliu610@yeah.net

影响因子：6.9