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2000-2014年甘肃省NDVI时空变化特征
引用本文:曹博,张勃,马彬,王国强,唐敏,张耀宗,贾艳青.2000-2014年甘肃省NDVI时空变化特征[J].中国沙漠,2018,38(2):418-427.
作者姓名:曹博  张勃  马彬  王国强  唐敏  张耀宗  贾艳青
作者单位:西北师范大学 地理与环境科学学院, 甘肃 兰州 730070
基金项目:国家自然科学基金项目(41561024);高校博士学科点专项科研基金项目(20136203110002);生态经济学省级重点学科项目(5001-021)
摘    要:基于甘肃省2000-2014年MODIS-NDVI遥感数据及气象数据,采用趋势分析法及相关分析法,对甘肃省归一化植被指数(NDVI)的时空变化特征进行研究,探讨了植被变化对区域气候变化的响应。结果表明:近15年,生长季及春、夏、秋季NDVI均呈增加趋势。区域尺度上,夏季NDVI增加趋势最显著,增速为0.071/10a(P<0.01);像元尺度上,生长季NDVI呈增加趋势的面积最大,呈极显著增加(P<0.01)和显著增加(0.01 < P < 0.05)的区域分别占研究区的50.03%和14.44%。生长季和夏季植被受降水和湿润指数的影响较大,春季植被受气温、降水和湿润指数的共同控制,秋季植被受气温的影响更强。生长季NDVI对于上一年生长季平均气温的响应存在滞后性,各季节NDVI分别对前一季节降水和湿润指数响应的滞后性较强。

关 键 词:甘肃省  NDVI  气候因子  相关分析  
收稿时间:2016-10-12
修稿时间:2016-12-19

Spatial and Temporal Variations of NDVI in Gansu,China from 2000 to 2014
Cao Bo,Zhang Bo,Ma Bin,Wang Guoqiang,Tang Min,Zhang Yaozong,Jia Yanqing.Spatial and Temporal Variations of NDVI in Gansu,China from 2000 to 2014[J].Journal of Desert Research,2018,38(2):418-427.
Authors:Cao Bo  Zhang Bo  Ma Bin  Wang Guoqiang  Tang Min  Zhang Yaozong  Jia Yanqing
Institution:College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
Abstract:Based on MODIS NDVI and climate datasets during 2000-2014, used linear regression and correlation analysis, the spatiotemporal variations of NDVI in Gansu and their linkage with regional climate change were analyzed. The results showed that in the last 15 years, average NDVI of growing season, spring, summer and autumn all showed an increasing trend. The trend of summer was the most significant at regional scale, with a rate of 0.071/10 a (P<0.01). At pixel scale, the area of increasing trend in growing season was the largest, area with excellent (P<0.01) and significant (0.01 < P < 0.05) increasing trend covered 50.03% and 14.44% of the whole vegetation area respectively. Precipitation and humid index are the most important factors of vegetation growth in growing season and summer. Temperature, precipitation and humid index played equal roles in spring, temperature was the most important driving factor in autumn. The lag effect of temperature was obvious to NDVI in growing season. The precipitation and humid index in last season had effect on the vegetation growth of the coming season.
Keywords:Gansu  NDVI  climate factor  correlation analysis  
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