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京津风沙源区植被的时空变化及其对气候因子的响应
引用本文:裴 亮,黄森旺,陈丽萍.京津风沙源区植被的时空变化及其对气候因子的响应[J].中国沙漠,2013,33(5):1593-1597.
作者姓名:裴 亮  黄森旺  陈丽萍
作者单位:1.辽宁工程技术大学 测绘与地理科学学院, 辽宁 阜新 123000; 2.铜陵学院 土木建筑系, 安徽 铜陵 244000
摘    要:利用2000—2008年的MODIS-NDVI遥感数据和34个站的气象数据,分析了京津风沙源区植被变化的空间分布范围及其与气候因子的关系。即利用坡度分析定量地估算了京津风沙源区植被覆盖的时空变化;分别计算降雨、温度及相对湿度与植被变化的相关系数,并进行显著性检验。结果表明:2000—2008年京津风沙源区植被覆盖整体呈上升趋势,其中上升区域占74%,显著上升区域占9.83%;气候整体上变化规律不强,降雨和气温都存在一定的增加趋势,但各年波动性较大;气候因子中降雨与生长季NDVI最大值相关性最强,两者整体变化趋势一致,80.11%的区域为正相关,3.17%的区域为显著正相关;降雨和NDVI相关的显著性不强及不完全同步性,可能是源于工程和非工程等人为因素的干扰。

关 键 词:京津风沙源区    植被    时空变化    气候  
收稿时间:2012-08-10
修稿时间:2012-10-30

Vegetation Spatio-temporal Changes and the Relationship with Climate Factors in Beijing-Tianjin Sand Source Region
PEI Liang,HUANG Sen-wang,CHEN Li-ping.Vegetation Spatio-temporal Changes and the Relationship with Climate Factors in Beijing-Tianjin Sand Source Region[J].Journal of Desert Research,2013,33(5):1593-1597.
Authors:PEI Liang  HUANG Sen-wang  CHEN Li-ping
Institution:1.Department of Survey and Geography Science,Liaoning Project Technology University, Fuxin 123000, Liaoning, China; 2.Department of Civil Engineering and Architecture,Tongling University, Tongling 244000, Anhui, China
Abstract:In this paper, we analyzed the spatial distribution of vegetation change and its relationship with climate factors by using remote sensing data of MODIS-NDVI and the meteorological data of 34 weather stations in Beijing-Tianjin Sand Source Region from 2000 to 2008. In another word, the spatial and temporal variation of vegetation cover was estimated quantitatively and then the significant correlation between the vegetation and rainfall, temperature and relative humidity were calculated by the correlation coefficients and the significance test in the study area. The results showed that the vegetation of Beijing-Tianjin Sand Source Region increased overall, the rising area is up to 74%, and the significantly increased is up to 9.83%. The climate change is not strong as a whole, and there is some fluctuant rising trend for rainfall and temperature. Rainfall in the growing season had high correlation with the maximum NDVI, those were consistent as a whole, 80.11% area is positive correlation, and 3.17% is significant positive correlation. The correlation between rainfall and NDVI are not fully synchronized and significant, since it may be disturbed by the non-engineering and engineering human factors.
Keywords:Beijing-Tianjin Sand Source Region  vegetation  spatio-temporal changes  climate  
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