Multiscale exploration of spatiotemporal dynamics in China's largest urban agglomeration: An interactive coupling perspective on human activity intensity and ecosystem health
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View abstract on PubMed
Summary
This summary is machine-generated.Human activity intensity (HAI) and ecosystem health index (EHI) show a spatiotemporal mismatch in China
Area Of Science
- Ecological economics
- Environmental science
- Urban planning
Background
- Human economic development increasingly impacts sensitive ecological zones, particularly in urban agglomerations.
- Understanding the interplay between human activity intensity (HAI) and ecosystem health index (EHI) is vital for mitigating human-land conflicts.
Purpose Of The Study
- To develop a framework for assessing human-land coupling dynamics.
- To analyze the spatiotemporal interactions between HAI and EHI across multiple scales.
- To provide scientific guidance for sustainable development in urban agglomerations.
Main Methods
- Integrated human footprint and ecosystem Maintain-Bearing-Service-Resilience models.
- Employed exploratory spatiotemporal data analysis for HAI and EHI patterns.
- Utilized four-quadrant model, coupling coordination degree (CCD), and relative development model for interaction analysis.
Main Results
- Identified significant spatiotemporal mismatches between HAI and EHI, with high HAI and low EHI in urbanized waterfront plains.
- Observed polarization patterns in HAI and EHI along the Yangtze River Economic Belt, indicating conflicting development.
- Found waterfront built-up areas as HAI hotspots and peripheral forests as EHI hotspots at the grid scale.
Conclusions
- The interaction between HAI and EHI shifts towards misalignment with increasing urbanization.
- While current coupling coordination degree shows positive trends, future urbanization may lead to greater decoupling.
- The study provides crucial insights for achieving sustainable development in China's urban agglomerations.
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