2000-2010年黄河上游流域植被年际变化及其对气候要素的响应(英文)

编号 zgly0001585022

文献类型 期刊论文

文献题名 2000-2010年黄河上游流域植被年际变化及其对气候要素的响应(英文)

作者 曹冉  蒋卫国  袁丽华  王文杰  吕忠亮  陈征 

作者单位 StateKeyLaboratoryofEarthSurfaceProcessesandResourceEcology  BeijingNormalUniversity  KeyLaboratoryofEnvironmentalChangeandNaturalDisaster  BeijingNormalUniversity  ChineseResearchAcademyofEnvironmentalSciences  NationalMeteorolo 

母体文献 Journal of Geographical Sciences 

年卷期 2014年06期

年份 2014 

分类号 Q948.1 

关键词 correlationanalysis  coefficientofvariation  hydropowerdevelopment  Mann–Kendalltest  NDVItimeseriesdata  Theil–Senmediantrendanalysis  YellowRiver  China 

文摘内容 To understand the variations in vegetation and their correlation with climate factors in the upper catchments of the Yellow River, China, Normalized Difference Vegetation Index(NDVI) time series data from 2000 to 2010 were collected based on the MOD13Q1 product. The coefficient of variation, Theil–Sen median trend analysis and the Mann–Kendall test were combined to investigate the volatility characteristic and trend characteristic of the vegetation. Climate data sets were then used to analyze the correlation between variations in vegetation and climate change. In terms of the temporal variations, the vegetation in this study area improved slightly from 2000 to 2010, although the volatility characteristic was larger in 2000–2005 than in 2006–2010. In terms of the spatial variation, vegetation which is relatively stable and has a significantly increasing trend accounts for the largest part of the study area. Its spatial distribution is highly correlated with altitude, which ranges from about 2000 to 3000 m in this area. Highly fluctuating vegetation and vegetation which showed a significantly decreasing trend were mostly distributed around the reservoirs and in the reaches of the river with hydropower developments. Vegetation with a relatively stable and significantly decreasing trend and vegetation with a highly fluctuating and significantly increasing trend are widely dispersed. With respect to the response of vegetation to climate change, about 20–30% of the vegetation has a significant correlation with climatic factors and the correlations in most areas are positive: regions with precipitation as the key influencing factor account for more than 10% of the area; regions with temperature as the key influencing factor account for less than 10% of the area; and regions with precipitation and temperature as the key influencing factors together account for about 5% of the total area. More than 70% of the vegetation has an insignificant correlation with cli