Analysis of the spatial and temporal evolution and driving factors of landscape ecological risk in Xiaojiang River Basin, Yunnan, China
Assessing the spatiotemporal evolution of landscape ecological risk (LER) in watersheds and its driving factors is crucial for ecosystem maintenance. This study utilized land use/land cover (LULC) data to establish an LER evaluation model. A transfer matrix, along with global and local Moran’s indic...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2489524 |
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| Summary: | Assessing the spatiotemporal evolution of landscape ecological risk (LER) in watersheds and its driving factors is crucial for ecosystem maintenance. This study utilized land use/land cover (LULC) data to establish an LER evaluation model. A transfer matrix, along with global and local Moran’s indices, analyzed LER evolution, while a geographic detector model quantified the driving factors of LER spatial heterogeneity in the Xiaojiang River Basin. Results indicate that LER was higher in central/northern areas and lower in southern areas, with low/sub-low risk areas expanding by 483.27 km2 and medium/high-risk areas decreasing by 684.08 km2, reflecting overall risk reduction. The LER exhibited evident spatial clustering, with “High-High” clusters in middle-lower areas (water body/construction land) and “Low-Low” clusters in southern areas (forest/grass land). The dominant driving factor was the interaction between net primary productivity of vegetation (NPP) and human disturbance (HD). This study provides insights for ecological restoration and ecosystem service enhancement. |
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| ISSN: | 1010-6049 1752-0762 |