| 引用本文： |
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阮亚节,罗娅,李睿峰,王小月,鄢明月.基于GEE的西南喀斯特区植被覆盖度时空变化及驱动因素分析[J].广西科学,2026,33(3):511-522. [点击复制]
- RUAN Yajie,LUO Ya,LI Ruifeng,WANG Xiaoyue,YAN Mingyue.Spatio-Temporal Variations and Driving Factors of Fractional Vegetation Cover in the Karst Region of Southwest China Based on GEE[J].Guangxi Sciences,2026,33(3):511-522. [点击复制]
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| 摘要: |
| 我国西南喀斯特区是全球喀斯特的关键组成部分，其生态环境脆弱，监测其植被覆盖度(Fractional Vegetation Cover，FVC)对实现该区域的生态安全具有实践意义。本研究基于谷歌地球引擎(Google Earth Engine，GEE)云计算平台获取2000—2024年中分辨率成像光谱仪(Moderate Resolution Imaging Spectroradiometer，MODIS)的归一化植被指数(Normalized Difference Vegetation Index，NDVI)数据，利用像元二分模型反演西南喀斯特区FVC，并综合运用Theil-Sen Median趋势分析、Mann-Kendall显著性检验、变异系数(Coefficient of Variation，CV)、Hurst指数及地理探测器等方法，系统揭示西南喀斯特区植被的时空变化及驱动因素。结果表明：(1)2000—2024年西南喀斯特区的FVC呈波动上升趋势，年均上升速率为0.33%，空间分布总体呈西北低、东南高的格局。(2)FVC以改善为主，但仍有26.25%的区域呈退化趋势，空间上表现为中部显著改善，西部及西北部局部退化的格局。研究区域整体上FVC的稳定性较高(CV均值为0.206 8)，且高FVC区域具有高稳定性。(3)FVC的变化趋势在未来具有较强的持续性(Hurst指数均值为0.711 5)，预测结果显示70.60%区域的FVC将持续改善，但仍有25.12%的区域存在持续退化的潜在风险。(4)交互探测结果表明，西南喀斯特区FVC的驱动因子存在明显的阶段性:2000年气温与土地利用的交互作用最强；2005年主导驱动因素转为土地利用与人口密度的协同作用；2010年气温与土地利用的交互作用达到峰值；2020年后则转变为以自然水热条件为主导作用的维持阶段。本研究结果可为喀斯特区生态保护、退化风险预警及差异化治理提供决策支持。 |
| 关键词: 植被覆盖度 时空演变 驱动因素 西南喀斯特 GEE |
| DOI：10.13656/j.cnki.gxkx.20260302.002 |
| 投稿时间：2026-01-05修订日期：2026-02-06 |
| 基金项目:国家自然科学基金项目(42561044)和贵州省科技计划项目(黔科合基础MS〔2025〕268)资助。 |
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| Spatio-Temporal Variations and Driving Factors of Fractional Vegetation Cover in the Karst Region of Southwest China Based on GEE |
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RUAN Yajie1, LUO Ya1,2, LI Ruifeng1, WANG Xiaoyue1, YAN Mingyue1
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| (1.School of Geography & Environmental Science, Guizhou Normal University, Guiyang, Guizhou, 550025, China;2.State Engineering Technology Institute for Karst Desertification Control, Guizhou Normal University, Guiyang, Guizhou, 550025, China) |
| Abstract: |
| The karst region of Southwest China,a critical component of the global karst ecosystem,features a fragile ecological environment where monitoring its Fractional Vegetation Cover (FVC) is essential for ensuring regional ecological security.The Normalized Difference Vegetation Index (NDVI) data of a Moderate Resolution Imaging Spectroradiometer (MODIS) from 2000 to 2024 were acquired from the Google Earth Engine (GEE) cloud computing platform.The dimidiate pixel model was employed to retrieve FVC in the karst region of Southwest China.Furthermore,Theil-Sen Median trend analysis,the Mann-Kendall test,Coefficient of Variation (CV),the Hurst index,and geodetector were integrated to systematically reveal the spatiotemporal evolution and driving factors of vegetation.The results showed that:(1) During 2000—2024,the FVC in the karst region of Southeast China exhibited a fluctuating upward trend with annual average growth rate of 0.33%,the overall spatial distribution showed a pattern of low in the northwest and high in the southeast.(2) FVC changes were dominated by improvement,yet 26.25% of the area still experienced degradation.The change pattern of FVC featured significant improvement in the central region and local degradation in the western and northwestern parts.The overall stability of regional FVC was high (CV mean of 0.206 8),and it enhanced as the coverage increased.(3) Future trends were predicted to exhibit strong persistence (Hurst index mean of 0.711 5).Projections indicated that 70.60% of regions would continue to improve,while vigilance was required as 25.12% of regions would face the risk of transitioning from improvement to degradation.(4) Interaction detection revealed that the driving factors of FVC in the karst region of Southwest China underwent phased shifts:the interaction between temperature and land use was the strongest in 2000;the dominant driving factor shifted to the synergistic effect of land use and population density in 2005;the interaction between temperature and land use peaked in 2010;and the interaction transitioned into a maintenance stage led primarily by natural hydrothermal conditions after 2020.The findings can provide decision support for ecological protection,degradation risk warning,and differentiated management in karst regions. |
| Key words: vegetation coverage spatiotemporal evolution driving factors karst region in Southwest China GEE |
