摘要
基于1982~2015年GIMMS NDVI数据,探究了太行山34 a来的植被覆盖状况,分析了NDVI的空间分布特征及其趋势变化;同时,基于地理探测器模型,结合自然因素和人为因素,探讨了各因子对太行山NDVI空间分布影响力的大小。结果表明:(1)太行山区的NDVI呈现波动上升的趋势,植被覆盖状况总体以改善为主;(2)各因子对NDVI分布影响程度的排序为:气温>坡向>土壤类型>降水量>地貌>植被类型>DEM>坡度>人口>GDP,其中气温、坡向、土壤类型、降水的影响力均大于10%,而GDP和人口均小于1%;(3)任意2个影响因素的交互作用都为增强,其中气温和坡向结合对研究区NDVI空间分布的影响力最大(q=0.3281)。人为因素在与自然因素相互作用之后,影响力有了很大幅度的提升。
Based on GIMMS NDVI data from 1982 to 2015,the vegetation coverage status of Taihang Mountain in the past 34 years was explored,and the spatial distribution characteristics and change trend were analyzed.At the same time,a geographic detector model based on statistical principle was used to explore the influence of various factors on the spatial distribution of NDVI in Taihang Mountain.The results showed that the NDVI of Taihang Mountain area showed an upward trend of fluctuation,and the vegetation coverage was mainly improved.For NDVI spatial differentiation,the order of influence degree of each factor was as follows:temperature>aspect>soil type>precipitation>landform>vegetation type>DEM>slope>population>GDP.The influence of temperature,aspect,soil type and precipitation was more than 10%,while GDP and population were less than 1%.The interaction between any two factors was enhanced,and the combination of temperature and aspect had the greatest influence on the spatial distribution of NDVI in the study area(q=0.3281).After the interaction between human factors and natural factors,the influence has been greatly improved.
作者
王炜
刘海新
高叶鹏
文韶鑫
WANG Wei;LIU Hai-xin;GAO Ye-peng;WEN Shao-xin(College of Mining and Geomatics,Hebei University of Engineering,Handan 056038,China)
出处
《江西农业学报》
CAS
2021年第6期98-104,共7页
Acta Agriculturae Jiangxi
基金
河北省社会科学发展研究课题(2019031203003)
河北省邯郸市科技项目(1721203048-2)。
