摘要
基于GIMMS NDVI和MODIS NDVI数据集,通过一元线性回归模型构建1982—2020年GIMMS-MODIS长时序NDVI数据集,辅以趋势分析、显著性检验以及相关性分析等方法,研究1982—2020年可可西里自然保护区植被NDVI时空分布特征以及变化趋势,并基于像元尺度分析了NDVI对温度、降水变化的响应。结果表明:1982—2020年年均温度、年均降水量均呈现显著上升的趋势,上升速率分别为0.06℃·a^(-1)、5.59 mm·a^(-1);1982—2020年NDVI变化呈现由西北向东南逐渐增加的趋势,夏季NDVI值最大,变化最为明显;冬季NDVI值最小,变化趋于平稳;植被年均NDVI与年均气温表现为不显著的正相关,基于像元尺度分析,NDVI与温度之间的相关性以正向居多且大于NDVI与降水的正相关比例,以秋季的相关性最强,温度对NDVI的影响大于降水。
Based on the GIMMS NDVI and MODIS NDVI datasets,we constructed a long-term GIMMS-MODIS NDVI dataset of 1982-2020 in Hoh Xil with a simple linear regression model.We analyzed the temporal and spatial variations of NDVI by adopting trend analysis,significance test,and correlation analysis,and analyzed the responses of NDVI to temperature and precipitation based on pixel scale.The results showed that the average annual temperature and precipitation showed a significant rising trend in Hoh Xil from 1982 to 2020,with a rising rate of 0.06℃·a^(-1)and 5.59 mm·a^(-1),respectively.The NDVI increased gradually from northwest to southeast of Hoh Xil during 1982-2020.The NDVI value was the largest and varied most obviously in summer,while it was the smallest and tended to be stable in winter.The annual average NDVI showed a non-significant positive correlation with the average annual temperature.At the pixel scale,the correlations between NDVI and temperature were predominantly positively,surpassing that between NDVI and precipitation.The correlation was the strongest in autumn.The impact of temperature on NDVI outweighed that of precipitation.
作者
李秀萍
郝仕龙
姚瑞晨
张岩
LI Xiuping;HAO Shilong;YAO Ruichen;ZHANG Yan(North China University of Water Resources and Electric Power,Zhengzhou 450046,China;Henan Provincial Soil and Water Conservation Monitoring Station,Zhengzhou 450002,China)
出处
《生态学杂志》
CAS
CSCD
北大核心
2024年第6期1851-1858,共8页
Chinese Journal of Ecology
基金
水利部黄土高原水土流失过程与控制重点实验室开放课题基金资助项目(201603)
河南省科技攻关项目(222102320281)资助。
