本文選題：喜馬拉雅南麓　切入點：植被變化　出處：《干旱區(qū)地理》2017年02期 　論文類型：期刊論文

【摘要】：本文應用喜馬拉雅南麓地區(qū)MODIS NDVI植被遙感數據和格點數據,采用趨勢線分析、多元回歸等方法分析了該研究區(qū)2001-2015年植被NDVI_(max)時空變化特征,同時利用Person相關分析探討了植被NDVI_(max)時空變化特征與氣候因子的響應關系。結果表明:(1)2001-2015年,喜馬拉雅南麓地區(qū)年內平均NDVI_(max)1~3月份呈下降趨勢,4~6月份開始緩慢生長,6~9月份進入植被生長高峰期,10月份開始逐漸降低;植被NDVI_(max)平均值為0.59,植被覆蓋度較高;空間上植被覆蓋度總體呈東南高西北低,由東南向西北遞減;平均NDVI_(max)隨海拔變化表現出明顯規(guī)律性,80%的植被主要分布在較低海拔區(qū)(4 050 m)。(2)15 a間,喜馬拉雅南麓地區(qū)植被NDVI_(max)變化具有階段性特征,年均NDVI_(max)呈三個變化階段:2001-2006年和2010-2015年分別以0.003 9·a~(-1)、0.005 3·a~(-1)的速率增長,而2006-2010年以-0.007 0·a~(-1)的速率減少。植被生長季NDVI_(max)呈4個階段:2001-2004和2007-2010年分別以-0.001 8·a~(-1)、-0.010 6·a~(-1)的速率逐年減少,但2005、2006兩年(0.014 8·a~(-1))快速增長至最大值,2010-2015年(0.006 3 a~(-1))波動增長。空間上大部分地區(qū)表現出不顯著退化,但少部分地區(qū)表現出不顯著改善(0.05p0.01),而西段低海拔區(qū)表現出極顯著改善。(3)喜馬拉雅南麓地區(qū)植被的變化主要由溫度和降水量共同影響,此外,高海拔區(qū)氣溫上升引起的冰川融水對植被生長起到一定的作用,中部低海拔區(qū)可能還受到人類活動的影響。
[Abstract]:In this paper, using MODIS NDVI vegetation remote sensing data and grid data in the southern Himalayan region, using trend line analysis and multivariate regression analysis, the spatiotemporal variation characteristics of vegetation NDVIV max. from 2001 to 2015 in the study area are analyzed. At the same time, Person correlation analysis was used to study the relationship between the spatial and temporal variation of vegetation NDV _ I _ max) and the response of climatic factors. In the southern Himalayan region, the average annual NDVI_(max)1~3 showed a decreasing trend. The slow growth began in June and the peak of vegetation growth began to decrease in September, and the average value of NDVI_(max)1~3 in October was 0.59, and the vegetation coverage was relatively high. The vegetation coverage in space is generally high in the southeast and low in the northwest, and decreases from southeast to northwest, and the average NDVImax) shows obvious regularity with elevation. 80% of the vegetation is mainly distributed in the lower altitude area within 15 years. The vegetation NDVImax) changes in the southern Himalayan region are characterized by stages, and the annual annual NDVImax) increases at the rate of 0.003 9 路a ~ (1) / a ~ (3) ~ (3) ~ (3) / a ~ (3) / a ~ (-1) from 2001 to 2006 and from 2010 to 2015 (respectively) at the rate of 0.0039 路a ~ (-1) 路a ~ (-1) 路a ~ (-1)). From 2006 to 2010, the rate of NDVImax decreased from -0.007 0 路a ~ (-1) to -0.007 0 路a ~ (-1). NDVImax) showed four stages: 2001-2004 and 2007-2010, respectively, at the rate of -0.001 8 路a ~ (-1) -0.010 6 路a ~ (-1)). But in 2005 / 2006, 0.014.8 路a / a ~ (-1)) increased rapidly to its maximum value (2010-2015) and increased in fluctuation (0.0063 / a ~ (-1)). Most areas showed no significant degradation in space. However, in a few areas there was no significant improvement of 0.05p0.01g, while in the low altitude area of the western part, the vegetation change in the southern Himalayan region was mainly influenced by temperature and precipitation. The glacial melt water caused by the rise of temperature in the high altitude area plays a certain role in vegetation growth, and the low altitude area in the central part may also be affected by human activities.
【作者單位】： 蘭州交通大學測繪與地理信息學院/甘肅省地理國情監(jiān)測工程實驗室;
【基金】：國家自然科學基金(41671447、71563025、41371435)資助
【分類號】：Q948.1;TP79

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