摘要
在月、季节、生长季和年4个时间尺度上,采用Krigging空间插值方法对1982—1999年的降水、气温数据插值生成栅格影像,将其与1982—1999年的NOAA/AVHRR NDVI影像进行相关分析.同时,综合分析了归一化差值植被指数(normalized differential vegetation index,NDVI)、降水、气温、区域潜在蒸散量、区域实际蒸散量的年际季节变化.结果表明,降水是制约本区植被生长的根本原因,夏季降水量对植被生长的影响最为显著,7—8月份的降水对下月植被的生长有重要的影响.同时得出中国北方温带草原植被与气象因子相关性的空间分布图.
One of the focuses of global change research is the impact of climate change on terrestrial ecosystem. In this study, 1983-1999 precipitation and temperature data are interpolated into raster images. And on month, season, growing season and year time scales, correlation between climate factor images and NOAA/ AVHRR NDVI data are computed. Dynamic of NDVI, precipitation, temperature, potential evapotranspiration, estimated evapotranspiration are analyzed. Results show that rainfall is limited factor in study area. Rainfall in July and August has important effect on vegetation of next month. And spacial patterns of correlation coefficients between vegetation and climate factors are obtained in temperate grassland in northern China.
出处
《北京师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2006年第6期618-623,共6页
Journal of Beijing Normal University(Natural Science)
基金
国家自然科学基金资助项目(30370265)
教育部新世纪优秀人才资助项目(CET-04-0149)