1982～2011年蒙古高原植被物候时空动态变化

发布时间：2018-01-22 07:54

本文关键词： 蒙古高原物候识别时空动态　出处：《遥感技术与应用》2017年05期 　论文类型：期刊论文

【摘要】：基于1982~2011年第三代GIMMS NDVI数据,利用累计NDVI的Logistic曲线曲率极值法、Logistic曲线曲率变化率法和NDVI变化率法等方法,识别了蒙古高原植被生长季开始日期(Start of Growing Season,SOS)、生长季结束日期(End of Growing Season,EOS)和生长季长度(Length of Growing Season,LOS)等物候参数,并分析了其时空变化特征。结果表明:累计NDVI的Logistic曲线曲率极值法和NDVI变化率法在蒙古高原植被区具有较好的物候识别能力,对两种方法识别的物候参数求平均一定程度上可提高研究区物候参数的识别精度。蒙古高原植被SOS一般从4月中旬到5月下旬开始,到9月下旬至10月中旬结束,生长季长度主要集中在125~175d之间。在空间上,蒙古高原湿润半湿润地区的SOS较早、EOS较晚和LOS更长,而干旱半干旱地区的SOS较晚、EOS更早和LOS更短。时间变化分析表明,在30a的观测尺度,约占研究区51.6%和33.9%地区的SOS分别呈提前和推迟趋势,其中21.2%和12.4%地区的变化为显著;约占研究区35.6%和49.8%的地区EOS分别呈推迟和提前趋势,其中8.2%和12.0%地区的变化为显著。受SOS和EOS的影响,40.3%的地区(17.8%为显著)主要以缩短为主,44.8%的地区(18.9%为显著)主要以延长为主。
[Abstract]:Based on the third generation GIMMS NDVI data from 1982 to 2011, the Logistic curve curvature extremum method of cumulative NDVI is used. The Logistic curve curvature rate method and the NDVI change rate method were used to identify the start of the vegetation growing season in Mongolia Plateau. End of Growing Season. Eos) and length of Growing length of growth season (LOS). The results show that the Logistic curve curvature extremum method and NDVI variation rate method of cumulative NDVI have good phenological recognition ability in the vegetation area of Mongolian Plateau. Finding the average phenological parameters of the two methods can improve the accuracy of phenological parameters in the study area to some extent. The vegetation SOS of Mongolia Plateau generally starts from middle of April to late May. From late September to middle of October, the length of growing season was mainly between 125 and 175 days. In space, SOS was earlier and LOS was longer in humid and sub-humid areas of Mongolia Plateau. In arid and semi-arid areas, SOS is earlier and LOS is shorter. Time variation analysis shows that the observed scale is 30 years. The SOS in 51.6% and 33.9% of the study area showed an early and delayed trend, among which the changes of 21.2% and 12.4% were significant. In 35.6% and 49.8% of the study area, EOS was delayed and advanced, among which the changes in 8.2% and 12.0% were significant, which were influenced by SOS and EOS. In 40.3%, 17.8% of them were significant (44.8% of them were shortened) and 18.9% of them were lengthened.
【作者单位】：内蒙古师范大学内蒙古自治区遥感与地理信息系统重点实验室;内蒙古师范大学地理科学学院;中国农业科学院农业资源与农业区划研究所;山西师范大学地理科学学院;
【基金】：内蒙古自然基金(2017MS0402和2015BS0505) 内蒙古自治区高等学校科学研究项目(NJZY029)
【分类号】：Q948;TP79
【正文快照】： 1　引　言植被物候是指植被群落受气候变化和其他环境因素的影响而以年为周期重复出现的各种生物学现象,如萌芽、发叶、开花、结实、叶黄和叶落等现象及其发生时间[1-2]。植被物候变化与气候变化密切相关,在气候上的任一微小的变化都能被植被物候信息记录起来,被广泛认为是全

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