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On the spatial relationship between ecosystem services and urbanization: A case study in Wuhan, China
Yan Zhang1, Yanfang Liu2, Yang Zhang1
1School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan, Hubei Province 430079, China.
The Science of the Total Environment
|May 15, 2018
Summary
Urbanization negatively impacts ecosystem services (ESs), but local-scale analysis reveals complex spatial relationships. Understanding these dynamics is crucial for sustainable urban planning and environmental protection.
Area of Science:
- Environmental Science
- Urban Ecology
- Spatial Analysis
Background:
- Ecosystem services (ESs) and urbanization are critical components of urban landscape planning.
- Limited research exists on the spatial interactions between ESs and urbanization at local scales.
- Understanding these relationships offers insights for effective urban development and environmental management.
Purpose of the Study:
- To investigate the spatial correlations between ecosystem services and urbanization in Wuhan City.
- To analyze the local-scale spatial dependence of ESs on urbanization.
- To provide practical guidance for urban planning and environmental protection.
Main Methods:
- Integration of various models and multisource data to estimate ESs and urbanization.
- Application of bivariate Moran's I to test and visualize spatial correlations.
- Utilization of spatial regression models to quantify spatial dependence, accounting for spatial autocorrelation.
Main Results:
- Globally, all ESs exhibit negative spatial correlations with urbanization.
- Local-scale analysis identified four distinct spatial correlation types: high ESs/high urbanization, high ESs/low urbanization, low ESs/high urbanization, and low ESs/low urbanization.
- Biodiversity conservation was most sensitive to urbanization, followed by outdoor recreation, water yield, grain productivity, carbon storage, and erosion prevention.
Conclusions:
- Spatial regression models are more suitable for measuring the spatial dependence of ESs on urbanization due to their ability to handle spatial autocorrelation.
- The study provides a nuanced understanding of local-scale ESs-urbanization interactions.
- Findings offer practical guidance for optimizing urban development and environmental protection strategies.
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