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渭河流域植被覆盖时空变化及驱动力分析OA

Spatiotemporal dynamics of vegetation cover in the Wei River basin and its driving forces

中文摘要英文摘要

渭河是黄河最大支流,了解渭河流域植被覆盖时空变化及驱动机制对黄河生态保护与泥沙防控至关重要.基于空间分析、地理探测器等方法,研究渭河流域归一化植被指数(NDVI)时空变化特征及主控因素.结果表明:①2001-2020年,全流域NDVI由0.59升至0.73,85.46%面积的NDVI逐渐增加,区域变异性呈中等,空间异质性显著;②流域70.80%面积的NDVI呈显著增加趋势,关中平原地区局部退化,流域NDVI面积的85.27%未来可能持续增加;③NDVI随着降水量的增加而上升,随着日照时间的增加而下降,在气温和干燥指数区间内则呈现峰值波动的情况;④NDVI的主要驱动因子是降水,其次为土地利用类型、干燥度和日照时间;⑤气象因素对NDVI的驱动力逐渐下降,土地利用对其的驱动力逐渐上升.

The Wei River is the largest tributary of the Yellow River.Understanding the spatiotemporal dynamics of vegetation cover and their driving mechanisms within the Wei River basin is critical for ecological conservation and sediment control in the Yellow River.Using spatial analysis and the GeoDetector,this study quantified the spatiotemporal patterns of the normalized difference vegetation index(NDVI)and identified dominant drivers across the basin.The results indicate that:① From 2001 to 2020,the basin-wide mean NDVI increased from 0.59 to 0.73;85.46%of pixels exhibited increasing trends.Regional variability was moderate,and spatial heterogeneity was pronounced.② NDVI showed a significant upward trend over 70.80%of the basin,with localized degradation in the Guanzhong Plain;85.27%of the area is expected to continue increasing in the future.③ NDVI increased with precipitation and decreased with longer sunshine duration,and displayed unimodal responses to temperature and the aridity index.④ Precipitation was the primary driver of NDVI,followed by land-use type,aridity,and sunshine duration.⑤ The explanatory power of meteorological factors for NDVI decreased ober time,whereas the influence of land use gradually increases.These findings provide a scientific basis for ecological protection and vegetation restoration strategies in the basin.

魏钰昔;徐国策;王斌;拓梦瑶

西安理工大学 旱区水工程生态环境全国重点实验室,陕西 西安 710048西安理工大学 旱区水工程生态环境全国重点实验室,陕西 西安 710048西安理工大学 旱区水工程生态环境全国重点实验室,陕西 西安 710048西安理工大学 旱区水工程生态环境全国重点实验室,陕西 西安 710048

资源环境

渭河流域归一化植被指数驱动力地理探测器

Wei River basinNDVIdriving forceGeoDetector

《农业科学研究》 2026 (1)

1-12,12

国家自然科学基金项目(42377344)

10.13907/j.cnki.nykxyj.2026.01.001

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