水土保持研究2025，Vol.32Issue(3)：222-230,9.DOI:10.13869/j.cnki.rswc.2025.03.026
基于KNDVI的贵州省植被时空变化及其驱动分析
Analysis of spatiotemporal changes and driving factors of vegetation in Guizhou Province based on KNDVI
摘要
Abstract
[Objective]To reveal the spatiotemporal dynamic changes of vegetation in Guizhou Province,and explore the influence mechanism of different driving factors and their interactions on vegetation.The study aims to provide a scientific basis for local ecological environment protection and sustainable development.[Methods]The Kernel Normalized Difference Vegetation Index(KNDVI)from 2001 to 2023 was calculated using MODIS(MOD13Q1)data obtained by Google Earth Engine(GEE).The pattern of vegetation change in Guizhou Province was analyzed by TS trend analysis and Mann-Kendall(MK)test.Natural factors such as temperature,precipitation,elevation,slope and aspect,along with anthropogenic factors such as land use type and population density,were selected as the influencing factors of vegetation change in the study area.These factors were analyzed using partial correlation and geographic detector.[Results]From 2001 to 2023,the vegetation coverage in Guizhou Province showed an increasing trend,with an increase rate of 0.002 8/a.The average KNDVI value in the study area over the 23 years was 0.54,with the annual average ranging from 0.02 to 0.68.The vegetation coverage showed a pattern of being higher in the southeast and lower in the southwest.The area of vegetation improvement accounted for 83.8%,while the area of vegetation degradation accounted for 9.76%.The vegetation in the central part of the study area was significantly or extremely significantly degraded,and the vegetation in the northwest,southwest and northeast was significantly or extremely significantly improved.Temperature and precipitation were positively correlated with KNDVI,while population density was negatively correlated with KNDVI.Among the single factors,land use has the strongest explanatory power for KNDVI,and the interaction between land use and population density is the strongest.[Conclusion]During the study period,overall vegetation in Guizhou Province was generally improved,with land use being the leading factor driving KNDVI spatial differentiation in Guizhou Province.The explanatory power of multiple factor interactions surpassed that of single factors in explaining KNDVI changes.Anthropogenic factors have the most significant influence on vegetation changes in Guizhou,followed by climate factors and topographic factors.关键词
KNDVI/植被/时空变化/驱动因素/贵州省Key words
KNDVI/vegetation/spatiotemporal changes/driving factors/Guizhou Province分类
生物学引用本文复制引用
吴广霞,刘绥华,邓玲玲,刘冰青,宋善海..基于KNDVI的贵州省植被时空变化及其驱动分析[J].水土保持研究,2025,32(3):222-230,9.基金项目
国家自然科学基金(42161029) （42161029）
贵州省科技技术项目(黔科合基础-ZK[2022]一般278) （黔科合基础-ZK[2022]一般278）
