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Updated: Jul 8, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Spatiotemporal decoupling between impervious surface areas and ecosystem services.
Jingyi Wang1, Shaohua Wu2, Yuanmin Wang3
1School of Public Administration, Zhejiang University of Finance & Economics, Hangzhou, 310018, China.
Impervious surface area negatively impacts ecosystem services. However, urbanization and intensified land use can mitigate these losses, suggesting a path toward sustainable development in areas like Hangzhou Bay.
Area of Science:
- Environmental Science
- Urban Ecology
- Spatial Planning
Background:
- Impervious surfaces disrupt material and energy cycles, affecting ecosystem services vital for sustainability.
- Understanding the impact of impervious surface area (ISA) on ecosystem services is crucial for territorial spatial planning and ecological construction.
Purpose of the Study:
- To analyze the spatiotemporal variation and interaction between impervious surface areas and six ecosystem services in Hangzhou Bay from 1996 to 2018.
- To investigate the correlation and decoupling effects between ISA and ecosystem services.
Main Methods:
- Correlation analysis was employed to assess the relationship between ISA and ecosystem services.
- Decoupling analysis was used to examine the interactions between ISA and ecosystem services over time.
Main Results:
- A negative correlation was observed between ISA abundance and ecosystem services, with correlation coefficients decreasing as ISA increased.
- From 2007 to 2018, weak decoupling (79.2%) and strong decoupling (11.9%) dominated the relationship between ISA and ecosystem services.
- Urbanized central areas showed strong/weak decoupling, while peripheral areas exhibited expansive recoupling and connection.
Conclusions:
- Ecosystem service loss can be mitigated through continued urbanization and enhanced land use intensification.
- Differentiated control strategies are proposed for sustainable urbanization in Hangzhou Bay and similar global regions.
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