中南大学
Visits:
HomeSpatiotemporal Evolution of Land Use Patterns and Carbon Emission Effects in Hilly Regions Evidence from Xuancheng City, China
Release time:2026-09-03
Hits:
- DOI number:
- 10.3390/land15091622
- Journal:
- Land
- Key Words:
- landscape pattern indexes; carbon emission; spatial distribution; Spearman correlation; Grey relational analysis; low-carbon territorial plannin
- Abstract:
- Land use and land cover change represent major anthropogenic carbon emission sources, yet most existing studies on landscape patterns and carbon emissions predominantly focus on plain urban agglomerations, with limited empirical evidence from terrain-restricted hilly regions. Taking Xuancheng, a typical hilly city in the Yangtze River Delta, as the study area, this paper utilized seven time-series of Landsat remote-sensing datasets spanning 1990–2020. Integrating the land use dynamic degree, transfer matrix, landscape pattern indexes, calibrated carbon coefffcients, Spearman correlation analysis and grey relational analysis, this study explored the associations between land use patterns and carbon emissions. Results show that built-up areas expanded 4.08-fold in the past three decades and emerged as the dominant carbon source, while forests maintained persistent carbon sequestration. The largest patch index of built-up area exhibited the strongest correlation with carbon emissions; cultivated land and forest displayed temporally synchronous ffuctuations with emissions rather than exerting independent causal effects. Terrain constraints drive axial urban sprawl along transport corridors, elevating correlations of edge-related indexes and generating carbon response patterns distinct from those observed in plain cities. The two-step correlation analysis framework proved suitable for small-sample long-term datasets. These ffndings suggest that curbing contiguous built-up area expansion, optimizing urban morphology, and strengthening ecological connectivity should be prioritized in low-carbon spatial planning for hilly cities.
- Indexed by:
- Journal paper
- Translation or Not:
- no
- Date of Publication:
- 2026-09-02
- Included Journals:
- SSCI
Attachments: