基于多源遥感数据集的近30a西北地区植被动态变化研究
发布时间:2018-04-13 05:49
本文选题:植被变化 + NDVI ; 参考:《干旱区地理》2016年02期
【摘要】:基于重构后的AVHRR GIMMS NDVI、MODIS NDVI、GLC 2000数据产品和研究区的128个气象站点的气温、降水数据,利用回归分析、相关性分析法,研究了西北地区近30 a(1984-2013年)以来不同植被NDVI的时空变化及其与气候的相关性。结果表明:(1)研究时段内,西北地区植被NDVI变化整体上呈上升趋势,将整个研究分为两个时段,1984-1997年呈小幅上升趋势,且波动起伏较大,最大值在1993年,最小值出现在1995年;1997-2013年也呈波动上升趋势,且上升趋势大于前一阶段。(2)空间上,西北地区植被NDVI变化存在明显的区域差异,大部分区域植被NDVI变化显著性较弱,昆仑山、塔里木盆地北部、祁连山、青海的中东西部、甘肃东部、陕西北部等地区植被NDVI显著增加;阿尔泰山、天山、伊犁哈萨克自治州等干旱地区植被NDVI下降趋势明显。(3)除甘肃的祁连山、青海东南部、陕西的秦岭等地植被NDVI的变化主要受气温的驱动外,西北地区植被NDVI变化与气温整体上呈弱相关,干旱半干旱地区植被与气温呈负相关;除甘肃南部、祁连山西段和陕西中部等一些年降水量较多以及灌溉农业区或草地以外,西北地区植被与降水呈较强正相关,降水是影响植被变化的主要自然因素;(4)不同植被类型NDVI的变化具有时空差异性,且与气温和降水的相关性不尽相同,与气温由强到弱:耕地灌丛草地沼泽湿地林地;与降水由强到弱:耕地草地灌丛林地沼泽湿地。
[Abstract]:Based on the reconstructed AVHRR GIMMS NDVI MODIS NDVI 2000 data product and the temperature and precipitation data from 128 meteorological stations in the study area, regression analysis and correlation analysis are used.The temporal and spatial variations of NDVI in different vegetation and its correlation with climate in Northwest China from 1984 to 2013 were studied.The results showed that the NDVI variation of vegetation in Northwest China showed an upward trend during the period of study. The whole study was divided into two periods: 1984-1997 with a small upward trend, and the fluctuation was quite large. The maximum value was in 1993.The minimum value also showed a fluctuating upward trend from 19951997 to 2013, and the rising trend was larger than that of the former stage. There were obvious regional differences in vegetation NDVI changes in Northwest China, and the significant changes of vegetation NDVI were weak in most regions and Kunlun Mountains.In the northern part of the Tarim Basin, Qilian Mountains, the central and western parts of Qinghai, the eastern part of Gansu, and the northern part of Shaanxi, the vegetation NDVI increased significantly; the Altai Mountains, the Tianshan Mountains, the Tianshan Mountains, and so on.Except for the Qilian Mountains in Gansu Province, the southeast of Qinghai and the Qinling Mountains in Shaanxi Province, the change of vegetation NDVI is mainly driven by temperature.The variation of vegetation NDVI was weakly correlated with air temperature in Northwest China, and negatively correlated with temperature in arid and semi-arid areas, except for some annual precipitation in southern Gansu, western Qilian Mountains and central Shaanxi, and irrigated agricultural areas or grasslands.There is a strong positive correlation between vegetation and precipitation in Northwest China. Precipitation is the main natural factor affecting vegetation change. (4) the variation of NDVI of different vegetation types has space-time difference, and the correlation with temperature and precipitation is not the same.And temperature from strong to weak: cultivated land, shrub, grassland, marsh wetland, and precipitation from strong to weak: cultivated land, grassland, shrub, woodland, marsh wetland.
【作者单位】: 西北师范大学地理与环境科学学院;兰州大学资环学院;
【基金】:甘肃省科技计划(1308RJZA141) 国家自然科学基金(41261016)资助
【分类号】:Q948;P237
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