华北水利水电大学学报（自然科学版）2025，Vol.46Issue(4)：37-49,13.DOI:10.19760/j.ncwu.zk.2025056
伊洛河流域植被NPP时空格局及驱动因素分析
Spatiotemporal Dynamics of Vegetation NPP and Its Driving Factors in Yiluo River Basin
摘要
Abstract
[Objective]To explore the response mechanism of vegetation net primary productivity(NPP)to climate change and human activities in the Yiluo River Basin,reveal its spatiotemporal variation patterns and driving factors,and provide sci-entific support for the formulation of watershed ecological protection strategies.[Methods]The Yiluo River Basin was select-ed as the study area.Based on the meteorological data,MODIS NDVI data and land use data from 2000 to 2020 in the study area,the improved CASA model was used to estimate the basin vegetation NPP.The spatiotemporal evolution characteristics of NPP were further analyzed by combining trend analysis,correlation analysis,GeoDetector method,and its main driving factors.[Results](1)The estimated NPP for different vegetation types in the Yiluo River Basin was reasonable,with a multi-year average total NPP of 10.77 TgC.(2)At the temporal scale,the total vegetation NPP showed an overall increasing trend from 2000 to 2020,with most areas showing a slight decreasing trend in the future.At the spatial scale,the differences in vegetation NPP were significant,showing a spatial variation pattern of high in the southwest and low in the northeast,and most areas of the basin showed an increasing trend in NPP,with the overall NPP remaining relatively stable.(3)The vegeta-tion NPP increased by approximately 264.39×10-3 TgC,mainly caused by the conversion of cropland,grassland,and shrubs to woodland.4 Land use was the dominant factor influencing the spatial pattern of vegetation NPP,and the interaction among different driving factors had an increasingly significant impact on its spatial variation.[Conclusion]The vegetation NPP in the Yiluo River Basin shows a slow overall increasing trend,mainly driven by the conversion of cropland to woodland.关键词
净初级生产力/时空变化/驱动因素/CASA模型/地理探测器/伊洛河流域Key words
net primary productivity/spatiotemporal variation/driving factor/CASA model/GeoDetector/Yiluo River Basin分类
农业科技引用本文复制引用
王悦钰,吕俊锋,李曾奕,穆文彬,万芳..伊洛河流域植被NPP时空格局及驱动因素分析[J].华北水利水电大学学报（自然科学版）,2025,46(4):37-49,13.基金项目
国家自然科学基金项目(52009043) （52009043）
河南省科技攻关项目(212102310375) （212102310375）
河南省2021年水利科技攻关项目"基于水足迹的气候变化及土地利用对流域水资源压力的影响研究与应用". （）
