干旱区地理2025，Vol.48Issue(2)：283-295,13.DOI:10.12118/j.issn.1000-6060.2024.324
三江源植被覆盖变化驱动机制及生态脆弱性分析
Driving mechanisms of vegetation change and ecological vulnerability in the Three-River Headwater Region
摘要
Abstract
Investigating changes in vegetation cover,the driving mechanisms behind these changes,and the re-gion's ecological vulnerability in the Three-River Headwater Region(TRHR),Qinghai Province,China is essen-tial for ensuring its ecological sustainability.Normalized difference vegetation index(NDVI)and kernel normal-ized difference vegetation index(kNDVI)were used,along with Theil-Sen Median trend analysis,Mann-Kendall significance test,and geographic detectors to explore the spatiotemporal changes in vegetation cover and driving forces.The sensitivity-resilience-pressure(SRP)model was used to assess ecological vulnerability.The results re-vealed the following trends:(1)From 2001 to 2020,both NDVI and kNDVI in the TRHR showed a fluctuating upward trend.Spatially,areas of improvement were mainly in the northeast and west,covering 73.70%and 79.79%,respectively,while areas of decline were primarily in the central and southern regions,covering 23.23%and 18.18%,respectively.(2)Precipitation,elevation,and temperature were the dominant factors influencing veg-etation cover,with interactions among these factors led to bifactor or nonlinear enhancement effects.Precipitation between 573-675 mm and elevations of 3447-3850 m were most favorable for vegetation growth.(3)Ecological vulnerability increased from the southeast to the northwest,showing significant spatial variation.The region ex-hibited high ecological vulnerability,with areas of severe and extreme vulnerability,as indicated by NDVI and kNDVI,covering 35.38%and 36.85%of the total area,respectively.关键词
NDVI/kNDVI/植被时空变化/生态脆弱性评价/地理探测器Key words
NDVI/kNDVI/temporal and spatial changes of vegetation/ecological vulnerability assessment/geographic detector引用本文复制引用
李康宁,林伊琳,赵俊三,王健,葛峰..三江源植被覆盖变化驱动机制及生态脆弱性分析[J].干旱区地理,2025,48(2):283-295,13.基金项目
国家自然科学基金资助项目(42301304) （42301304）
云南省基础研究计划项目(202201AU070112)资助 （202201AU070112）
