洞庭湖植被对降水的响应(英文)

被引:15
作者
蒋卫国 [1 ,2 ]
侯鹏 [1 ,3 ]
朱晓华 [4 ]
曹广真 [5 ]
刘小曼 [3 ,4 ]
曹入尹 [1 ]
机构
[1] State Key Laboratory of Earth Process and Resource Ecology,Beijing Normal University
[2] Academy of Disaster Reduction and Emergency Management,Beijing Normal University
[3] Satellite Environment Center,MEP
[4] Institute of Geographic Sciences and Natural Resources Research,CAS
[5] Key Laboratory of Radiometric Calibration and Validation for Environmental Satellites,China Meteorological
关键词
eco-hydrology; precipitation; vegetation; remote sensing; wetland; Dongting Lake;
D O I
暂无
中图分类号
P461.7 [];
学科分类号
摘要
We analyzed the Normalized Difference Vegetation Index (NDVI) from satellite images and precipitation data from meteorological stations from 1998 to 2007 in the Dongting Lake wetland watershed to better understand the eco-hydrological effect of atmospheric precipitation and its relationship with vegetation. First,we analyzed its general spatio-temporal distribution using its mean,standard deviation and linear trend. Then,we used the Empirical Orthogonal Functions (EOF) method to decompose the NDVI and precipitation data into spatial and temporal modes. We selected four leading modes based on North and Scree test rules and analyzed the synchronous seasonal and inter-annual variability between the vegetation index and precipitation,distinguishing time-lagged correlations between EOF modes with the correlative degree analysis method. According to our detailed analyses,the vegetation index and precipitation exhibit a prominent correlation in spatial distribution and seasonal variation. At the 90% confidence level,the time lag is around 110 to 140 days,which matches well with the seasonal variation.
引用
收藏
页码:135 / 149
页数:15
相关论文
共 10 条
[1]   中国东部植被NDVI对气温和降水的旬响应特征 [J].
崔林丽 ;
史军 ;
杨引明 ;
范文义 .
地理学报, 2009, 64 (07) :850-860
[2]   黄河流域植被覆盖度动态变化与降水的关系 [J].
孙睿 ;
刘昌明 ;
朱启疆 .
地理学报, 2001, (06) :667-672
[3]  
Correcting satellite data to detect vegetation signal for eco-hydrologic analyses[J] . David P. Groeneveld,William M. Baugh.Journal of Hydrology . 2007 (1)
[4]  
Vegetation response to rainfall as monitored by NOAA–AVHRR[J] . Current Science . 2006 (12)
[5]   Inter-annual variability and interaction of remote-sensed vegetation index and atmospheric precipitation in the Aral Sea region [J].
Nezlin, NP ;
Kostianoy, AG ;
Li, BL .
JOURNAL OF ARID ENVIRONMENTS, 2005, 62 (04) :677-700
[6]  
Interannual variations of the discharge of Amu Darya and Syr Darya estimated from global atmospheric precipitation[J] . Nikolay P. Nezlin,Andrey G. Kostianoy,Sergey A. Lebedev.Journal of Marine Systems . 2004 (1)
[7]  
Analysis of a 30-year rainfall record (1967–1997) in semi–arid SE Spain for implications on vegetation[J] . R. Lázaro,F.S. Rodrigo,L. Gutiérrez,F. Domingo,J. Puigdefábregas.Journal of Arid Environments . 2001 (3)
[8]  
A comparison of the vegetation response to rainfall in the Sahel and East Africa, using normalized difference vegetation index from NOAA AVHRR[J] . Sharon E. Nicholson,Michael L. Davenport,Ada R. Malo.Climatic Change . 1990 (2)
[9]  
Germination and Survival of Perennial Plant Species in the Mojave Desert[J] . The Southwestern Naturalist . 1979 (3)
[10]  
The Scree Test For The Number Of Factors1[J] . Raymond B. Cattell.Multivariate Behavioral Research . 1966 (2)