干旱区地理2026，Vol.49Issue(1)：1-12,12.DOI:10.12118/j.issn.1000-6060.2025.083
黄土高原植被抗旱性监测及影响因素分析
Monitoring and influencing factors of vegetation drought resistance on the Loess Plateau
摘要
Abstract
With intensifying climate change and human activities,the increasing frequency of droughts and their impacts on the Loess Plateau of China have severely constrained regional vegetation growth.Using data from 2000 to 2022,including standardized precipitation evapotranspiration index,normalized difference vegetation in-dex,and gross primary productivity data,three vegetation drought resistance indices were established,namely lag time,impact degree,and vegetation resilience,using the maximum correlation coefficient method.A comprehen-sive monitoring framework was then constructed to assess vegetation responses under drought conditions and quantify drought resistance.Results revealed three key insights.(1)The Loess Plateau exhibited the most pro-nounced lag time at 1 month,with maximum correlation coefficients exceeding 0.4 in 73%areas and correlation coefficients decreasing from south to north as lag increases.(2)Vegetation drought resistance ranged from 0 to 0.2 in the southern and eastern of southern temperate and northern plateau climate zones of the Loess Plateau and 0.2-0.4 in the middle temperate zone.Overall,drought resistance was highest in shrubs,followed by forest and farmland,and lowest in grassland.(3)Land surface temperature,rainfall,and soil pH showed the strongest linear correlations with vegetation drought resistance,consistent with the main influencing factors identified via optimal parameter geographic detector analyses across climate zones.This comprehensive monitoring approach enhances understanding of vegetation drought resistance patterns and provides valuable guidance for reducing ecological risk under future drought conditions.关键词
相关系数/植被抗旱性/干旱指数/遥感/黄土高原Key words
correlation coefficient/vegetation drought resistance/drought index/remote sensing/Loess Plateau引用本文复制引用
程西安,牛全福,王刚,邵东虎,朱登峰,王振宇..黄土高原植被抗旱性监测及影响因素分析[J].干旱区地理,2026,49(1):1-12,12.基金项目
国家自然科学基金项目(42261069)资助 （42261069）
