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澜沧江流域植被NDVI与气候因子的相关性分析
引用本文:张景华,封志明,姜鲁光,杨艳昭.澜沧江流域植被NDVI与气候因子的相关性分析[J].自然资源学报,2015,30(9):1425-1435.
作者姓名:张景华  封志明  姜鲁光  杨艳昭
作者单位:中国科学院 地理科学与资源研究所,北京 100101
基金项目:国家自然科学基金项目(41271117); 青年科学基金项目(41401625); 中国科学院战略性先导科技专项(XDA05150800)
摘    要:基于2000-2010年MODIS NDVI数据和气象台站数据,对澜沧江流域植被NDVI与气候因子间的相关性逐像元进行分析,研究流域植被-气候关系的空间格局特征,并对其可能影响因素进行了探讨。研究结果表明:① 气温和降水对澜沧江流域植被生长均具有明显影响,其中,温度的影响尤为显著;② 流域植被生长对气候响应表现出明显的滞后效应,随着纬度的升高,植被对气候因子响应的滞后时间逐渐缩短;③ 流域不同植被类型受气温和降水的影响程度及其对气温和降水变化的敏感性均表现为草地>耕地>灌木林地>有林地。同一植被类型受气温的影响强于降水,但对降水的变化更为敏感;④ 气候特征(多年平均气温和年降水量)显著影响植被NDVI对气候变化的响应时间。年平均气温的高低与气温对植被的影响力并无必然联系,但年降水量显著影响植被NDVI与降水间的相关程度。

关 键 词:NDVI  植被-气候关系  相关分析  澜沧江流域  
收稿时间:2014-07-01
修稿时间:2015-03-20

Analysis of the Correlation between NDVI and Climate Factors in the Lancang River Basin
ZHANG Jing-hua,FENG Zhi-ming,JIANG Lu-guang,YANG Yan-zhao.Analysis of the Correlation between NDVI and Climate Factors in the Lancang River Basin[J].Journal of Natural Resources,2015,30(9):1425-1435.
Authors:ZHANG Jing-hua  FENG Zhi-ming  JIANG Lu-guang  YANG Yan-zhao
Institution:Institute of Geographic Sciences and Natural Resources Research, Beijing 100101, China
Abstract:Based on MODIS NDVI and meteorological data from 2000 to 2010, this study analyzed the correlation between NDVI and meteorological factors pixel by pixel in the Lancang River Basin, studied the spatial pattern of the relationship between vegetation and climate, and explored the possible influence factors. The study indicated that: 1) Both temperature and precipitation had significant impacts on vegetation growth in the Lancang River Basin, and the temperature’s effect was particularly striking. 2) The response of vegetation growth to climate change showed significant time lag effect, and the lag time shortened as the latitude went up. 3) For different vegetation types, both the orders of influence degree of meteorological factors on NDVI and the sensitive degree of NDVI to climate change were, in turn, grassland, cropland, shrub forest and woodland. For the same vegetation, the impact of temperature was greater than that of precipitation, but NDVI was more sensitive to precipitation. 4) Climate characteristics (perennial mean temperature and multi-year average precipitation) had significant impacts on the response time of NDVI to climate change. There is no significant influence of perennial mean temperature on the relationship between NDVI and temperature, but multi-year average precipitation has impacts on the degree of correlation between NDVI and precipitation.
Keywords:NDVI  vegetation-climate relationship  correlation analysis  the Lancang River Basin  
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