摘要
针对黄河流域气候的地区差异对植被产生复杂变化的问题,本研究选取了1981—2020年黄河流域的气候数据与NDVI数据,运用重心模型和地理加权回归GWR模型等方法,探究了黄河流域植被NDVI空间变化特征及驱动因素影响的空间异质性。结果表明,黄河流域植被NDVI分布不均匀,具有显著的空间自相关性;1981年—2020年,植被NDVI重心整体上向东北方向迁移了29.96 km,呈现出“东北—东—东北”的迁移趋势;气候因子对植被NDVI的影响存在空间异质性,降水因子对干旱与半干旱地区均呈现正向影响,回归系数在0.130~1.477之间,而气温对植被NDVI的负向影响占比高达72.3%。
In response to the complex changes in vegetation caused by regional differences in the climate of the Yellow River Basin,this study selected climate data and NDVI data from 1981 to 2020 in the Yellow River Basin,and used methods such as centroid model and GWR model to explore the spatial heterogeneity of vegetation NDVI spatial changes and driving factors in the Yellow River Basin.The results indicate that the distribution of vegetation NDVI in the Yellow River Basin is uneven and has significant spatial autocorrelation;From 1981 to 2020,the vegetation NDVI center of gravity shifted 29.96 km towards the northeast direction,showing a“northeast→east→northeast”migration trend;The impact of climate factors on vegetation NDVI exhibits spatial heterogeneity.Precipitation factors have a positive impact on both arid and semi-arid regions,with regression coefficients ranging from 0.130 to 1.477.Temperature has a negative impact on vegetation NDVI,accounting for as much as 72.3%.
作者
董文洁
毛曦
路文娟
王继周
李诚
秦瀚
DONG Wenjie;MAO Xi;LU Wenjuan;WANG Jizhou;LI Cheng;QIN Han(Chinese Academy of Surveying and Mapping,Beijing 100036,China)
出处
《测绘科学》
CSCD
北大核心
2024年第2期134-142,共9页
Science of Surveying and Mapping
基金
中央级公益性科研院所基本科研业务费项目(AR2308,AR2121)。
关键词
黄河流域
NDVI
地理加权回归模型
莫兰指数
空间异质性
Yellow River Basin
NDVI
geographically weighted regression model
Moran index
spatial heterogeneity
