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

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.

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Publication Details

Journal
Forests
Published
2025-05-09
DOI
https://doi.org/10.3390/f16050798
Primary Topic
Environmental Changes in China
Type
article
Field-Weighted Citation Impact
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article

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

Yujun Pan, Pu Cheng, Kunpeng Wu
Forests
Environmental Changes in China
article

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

Yujun Pan, Pu Cheng, Kunpeng Wu
article en

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.

ForestsVol. 16(5)
Yunnan Normal University (CN), Yunnan University (CN), Yunnan Vocational College of Mechanical and Electrical Technology (CN)
National Natural Science Foundation of China, Yunnan University
Openalex Percentile: Top 90%
Environmental Changes in China
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Spatiotemporal Variations of Fractional Vegetation Coverage and Its Driving Mechanisms in Southwestern China — Yujun Pan, Pu Cheng, et al. · Forests (2025) | TGRS Research Map | TGRS