Study on the driving mechanism of spatio-temporal non-stationarity of vegetation dynamics in the Taihangshan-Yanshan Region
As an important ecological barrier of the Beijing-Tianjin-Hebei region, the Taihang-Yanshan Region (TYR) plays a crucial role in maintaining the sustainable stability of the ecosystem. This study aims to investigate the spatio-temporal evolution of vegetation dynamics and elucidate the various drivi...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25000135 |
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| Summary: | As an important ecological barrier of the Beijing-Tianjin-Hebei region, the Taihang-Yanshan Region (TYR) plays a crucial role in maintaining the sustainable stability of the ecosystem. This study aims to investigate the spatio-temporal evolution of vegetation dynamics and elucidate the various driving forces behind these changes, and results indicate that: (1) kernel Normalised Vegetation Index (kNDVI) is effectively capable of reflecting the vegetation changes in the TYR. From 2001 to 2020, kNDVI in spring, summer and autumn showed a slow upward trend and a downward trend in winter. In terms of space, vegetation coverage in Yanshan region is generally higher than that in Taihang Mountain with significant spatial heterogeneity.(2) Theil-Sen Median trend and Hurst index analysis shows that about 70% of regions have shown an increasing trend in kNDVI throughout the year and will continue to increase in the future. (3) The analysis results of Optimal Parameter Geodetector Detectors (OPGD) show that evapotranspiration (ET) is the dominant driving factor of kNDVI, and the interactive enhancement benefits with other factors is significant. Population density and land surface temperature were negatively correlated with kNDVI. (4) Based on the analysis results of multi-scale geographic weighted regression (MGWR) kNDVI is positively correlated with annual cumulative precipitation and ET, and negatively correlated with annual mean temperature and altitude, and the other variables show spatial heterogeneity. Research results provide important references for the formulation of vegetation ecosystem protection and restoration policies in this region. |
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| ISSN: | 1470-160X |