Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024
To elucidate the mechanisms of vegetation dynamics, this study primarily investigates the spatiotemporal variations in fractional vegetation cover (FVC) on the Loess Plateau and its responses to topography. Leveraging the high-resolution and temporal continuity of Landsat imagery, this study utilize...
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| Format: | Article |
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Taylor & Francis Group
2025-12-01
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| Series: | Geomatics, Natural Hazards & Risk |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2543455 |
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| author | Fan Fu Mingwei Zhao Cancan Yang Xiaoli Huang Yan Xu Yuan Liu Shaojie Jia |
| author_facet | Fan Fu Mingwei Zhao Cancan Yang Xiaoli Huang Yan Xu Yuan Liu Shaojie Jia |
| author_sort | Fan Fu |
| collection | DOAJ |
| description | To elucidate the mechanisms of vegetation dynamics, this study primarily investigates the spatiotemporal variations in fractional vegetation cover (FVC) on the Loess Plateau and its responses to topography. Leveraging the high-resolution and temporal continuity of Landsat imagery, this study utilized the Google Earth Engine (GEE) platform to acquire imagery from 1995 to 2024. The normalized difference vegetation index (NDVI) dataset was synthesized, and FVC was retrieved using the pixel dichotomy model. Methods including linear regression, Sen + MK analysis, coefficient of variation (CV), Hurst exponent, and multiscale geographically weighted regression (MGWR) were employed to examine long-term FVC dynamics and terrain-driven influences. Results show a significant upward FVC trend (0.449%/a, p < 0.01), with 69.74% of the area showing vegetation improvement (p < 0.05) and 54.32% exhibiting large fluctuations. Future predictions indicate spatial heterogeneity, with 52.99% of the area projected to improve. Under categorized conditions, FVC initially decreases and then increases with elevation and topographic position index, while it exhibits a fluctuating upward trend with increasing slope, terrain roughness, and topographic complexity index. FVC responses to terrain factors are significant (p < 0.05), except for aspect (p > 0.05). These findings provide valuable insights for ecological restoration policies by elucidating the spatial heterogeneity of vegetation and the driving mechanisms of topography. |
| format | Article |
| id | doaj-art-3bd69c9b25bf4e6aa05d5c472965f53c |
| institution | Kabale University |
| issn | 1947-5705 1947-5713 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
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| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj-art-3bd69c9b25bf4e6aa05d5c472965f53c2025-08-20T03:41:15ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132025-12-0116110.1080/19475705.2025.2543455Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024Fan Fu0Mingwei Zhao1Cancan Yang2Xiaoli Huang3Yan Xu4Yuan Liu5Shaojie Jia6School of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaSchool of Geographic Information and Tourism, Chuzhou University, Chuzhou, ChinaTo elucidate the mechanisms of vegetation dynamics, this study primarily investigates the spatiotemporal variations in fractional vegetation cover (FVC) on the Loess Plateau and its responses to topography. Leveraging the high-resolution and temporal continuity of Landsat imagery, this study utilized the Google Earth Engine (GEE) platform to acquire imagery from 1995 to 2024. The normalized difference vegetation index (NDVI) dataset was synthesized, and FVC was retrieved using the pixel dichotomy model. Methods including linear regression, Sen + MK analysis, coefficient of variation (CV), Hurst exponent, and multiscale geographically weighted regression (MGWR) were employed to examine long-term FVC dynamics and terrain-driven influences. Results show a significant upward FVC trend (0.449%/a, p < 0.01), with 69.74% of the area showing vegetation improvement (p < 0.05) and 54.32% exhibiting large fluctuations. Future predictions indicate spatial heterogeneity, with 52.99% of the area projected to improve. Under categorized conditions, FVC initially decreases and then increases with elevation and topographic position index, while it exhibits a fluctuating upward trend with increasing slope, terrain roughness, and topographic complexity index. FVC responses to terrain factors are significant (p < 0.05), except for aspect (p > 0.05). These findings provide valuable insights for ecological restoration policies by elucidating the spatial heterogeneity of vegetation and the driving mechanisms of topography.https://www.tandfonline.com/doi/10.1080/19475705.2025.2543455Loess Plateaufractional vegetation coverspatiotemporal analysisspatial heterogeneityterrain response |
| spellingShingle | Fan Fu Mingwei Zhao Cancan Yang Xiaoli Huang Yan Xu Yuan Liu Shaojie Jia Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024 Geomatics, Natural Hazards & Risk Loess Plateau fractional vegetation cover spatiotemporal analysis spatial heterogeneity terrain response |
| title | Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024 |
| title_full | Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024 |
| title_fullStr | Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024 |
| title_full_unstemmed | Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024 |
| title_short | Spatiotemporal variations of fractional vegetation cover and its response to topography on the Loess Plateau of China from 1995 to 2024 |
| title_sort | spatiotemporal variations of fractional vegetation cover and its response to topography on the loess plateau of china from 1995 to 2024 |
| topic | Loess Plateau fractional vegetation cover spatiotemporal analysis spatial heterogeneity terrain response |
| url | https://www.tandfonline.com/doi/10.1080/19475705.2025.2543455 |
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