【作者】 刘向培； 刘烈霜； 史小康； 佟晓辉； 贾庆宇；

【Author】 LIU Xiang-pei;LIU Lie-shuang;SHI Xiao-kang;TONG Xiaohui;JIA Qingyu;Unit No.65061 of PLA;Key Laboratory of Land Surface Process and Climate Change in Cold and Arid Regions, Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences;Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University;Guizhou Air Traffic Control Bureau of CAAC;Institute of Aeronautical Meteorology, Air Force Academy of Equipment;Institute of Atmospheric Environment,China Meteorological Administration;

【机构】 解放军65061部队； 中国科学院寒区旱区环境与工程研究所寒旱区陆面过程与气候变化重点实验室； 北京大学物理学院大气与海洋科学系； 民航贵州空管分局； 空军装备研究院航空气象防化研究所； 中国气象局沈阳大气环境研究所；

【摘要】 基于GIMMS/NDVI数据,采用小波分析方法,在年内、年际尺度上研究了1982—2006年我国东北区域地表植被的动态变化,并分析了温度、降水等气候因子对植被动态变化的影响。结果表明:东北区域地表植被动态变化特征显著,总体上INDV(描述归一化植被指数(normalized difference vegetation index,NDVI)年际尺度平均状况)沿东北—西南方向递减,其中林地INDV及?I(描述NDVI年内变化)最大,分别为0.41和0.70,草地最小;草NDV地区域INDV平均增加6.21%,耕地INDV有小幅增加,林地有所减小。温度、降水是影响地表植被动态变化的重要因素,总体上与温度的相关系数大于与降水的相关系数,年内尺度的相关系数大于年际尺度的相关系数;在年际尺度上,NDVI与温度的相关系数以耕地最大,平均为0.60,耕地和林地区域NDVI与降水的相关性不显著;在年内尺度上,NDVI与温度、降水的相关系数以林地最大,分别为0.90和0.75;滞后相关分析表明,在年际尺度上,温度对地表植被的影响随着滞后时间的延长以近似线性的趋势降低;在年内尺度上,温度、降水的影响随着滞后时间的延长而加速减小,温度和降水对林地的影响均较快;降水的影响较温度的持续时间更短。更多还原

【Abstract】 Based on the GIMMS/NDVI data, the wavelet transform technique is used to analyze the dynamic variation of normalized difference vegetation index(NDVI) and its relationship with climate factors such as temperature and precipitation from 1982 to 2006 over Northeast China on intra- and inter-annual scales. Results show that the dynamic variation characteristic of vegetation is remarkable, the INDV(descripting the mean value of inter-annual scale NDVI) decreases from northeast to southwest over Northeast China, the INDV and ?I(descripting the variation of NDVintra-annual scale NDVI) of forest are the largest, which are 0.41 and 0.70,respectively,and those of grass land are the smallest. The INDV increases 6.21% over grass land, increases a little over arable land, and decreases over forest. The correlation coefficients between temperature, precipitation and NDVI are remarkable with the former larger than the latter, and the intra-annual scale correlation coefficient is larger than the inter-annual one. On inter-annual scale, the correlation coefficient between NDVI and temperature over arable land is the largest, which is 0.60,and the coefficients between NDVI and precipitation over arable land and forest are not significant. On the intra-annual scale, the correlation coefficients between NDVI and temperature, precipitation over forest are the largest, which are 0.90 and 0.75,respectively.The impact of temperature on NDVI decreases with a nearly linear trend when the lag time is extended on the inter-annual scale. The effects of temperature and precipitation on NDVI decrease more and more fast with the extension of lag time on the intra-annual scale. The responses of forest to temperature and precipitation are quick, and that of grass land is slow. The duration of precipitation influencing NDVI is shorter than that of temperature.更多还原