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Article

Spatiotemporal Variations of Fractional Vegetation Coverage and Its Driving Mechanisms in Southwestern China

1
Faculty of Geography, Yunnan Normal University, Kunming 650091, China
2
School of Public Service and Management, Yunnan Vocational College of Transportation, Kunming 650091, China
3
Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, China
4
Yunnan Key Laboratory of International Rivers and Transboundary Eco-security, Yunnan University, Kunming 650091, China
*
Authors to whom correspondence should be addressed.
Forests 2025, 16(5), 798; https://doi.org/10.3390/f16050798 (registering DOI)
Submission received: 6 April 2025 / Revised: 1 May 2025 / Accepted: 7 May 2025 / Published: 9 May 2025
(This article belongs to the Section Forest Inventory, Modeling and Remote Sensing)

Abstract

As a well-known ecological vulnerability region, monitoring and studying vegetation dynamics in southwestern China is important for resource management, ecological conservation, and climate adaptation strategies. The spatiotemporal dynamic characteristics of fractional vegetation cover (FVC) in southwestern China during the early 21st century was analyzed using MODIS Enhanced Vegetation Index (EVI) data. Additionally, this study employed the Geographic Detector Model (GDM), an innovative spatial statistical tool, to analyze the driving mechanism of FVC spatial patterns. The results indicated as follows: (1) the overall FVC in southwestern China exhibited a slight increasing trend, with distinct spatial heterogeneity; (2) the combined impacts of climate change and human activity could be the primary drivers of FVC changes, with relative contribution of 37.75% and 62.25%, respectively; (3) elevation was recognized as the key factor influencing this spatial variability, influencing hydrothermal conditions, vegetation types, soil types, and human activity intensity; (4) FVC increases steadily under high-emission scenarios of SSP370 and SSP585 from 2030 to 2100, while it exhibits an “increase–decrease” pattern under the low-emission scenarios of SSP126 and SSP245 from 2030 to 2100, with shifts occurring in 2080 and 2090, respectively. This pattern may result from the combined effects of moderate warming and fluctuations in precipitation, where initial hydrothermal conditions promote vegetation growth, but subsequent changes potentially inhibit it.
Keywords: fractional vegetation cover; spatiotemporal variations; driving mechanism; future climate change scenario fractional vegetation cover; spatiotemporal variations; driving mechanism; future climate change scenario

Share and Cite

MDPI and ACS Style

Cheng, P.; Wu, K.; Pan, Y. Spatiotemporal Variations of Fractional Vegetation Coverage and Its Driving Mechanisms in Southwestern China. Forests 2025, 16, 798. https://doi.org/10.3390/f16050798

AMA Style

Cheng P, Wu K, Pan Y. Spatiotemporal Variations of Fractional Vegetation Coverage and Its Driving Mechanisms in Southwestern China. Forests. 2025; 16(5):798. https://doi.org/10.3390/f16050798

Chicago/Turabian Style

Cheng, Pingping, Kunpeng Wu, and Yujun Pan. 2025. "Spatiotemporal Variations of Fractional Vegetation Coverage and Its Driving Mechanisms in Southwestern China" Forests 16, no. 5: 798. https://doi.org/10.3390/f16050798

APA Style

Cheng, P., Wu, K., & Pan, Y. (2025). Spatiotemporal Variations of Fractional Vegetation Coverage and Its Driving Mechanisms in Southwestern China. Forests, 16(5), 798. https://doi.org/10.3390/f16050798

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