Spring vegetation green-up date in China inferred from SPOT NDVI data: A   multiple model analysis

doi:10.1016/j.agrformet.2012.06.009

CORC > 北京大学 > 城市与环境学院

	Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis
	Cong, Nan ; Piao, Shilong ; Chen, Anping ; Wang, Xuhui ; Lin, Xin ; Chen, Shiping ; Han, Shijie ; Zhou, Guangsheng ; Zhang, Xinping
刊名	agricultural and forest meteorology
	2012
关键词	Climate change Phenology NDVI Spring vegetation green-up date China NET ECOSYSTEM EXCHANGE DROUGHT-INDUCED REDUCTION TIME-SERIES GROWING-SEASON CLIMATE-CHANGE SATELLITE MEASUREMENTS CARBON-DIOXIDE NORTH-AMERICA PLANT-GROWTH PHENOLOGY
DOI	10.1016/j.agrformet.2012.06.009
英文摘要	Phenological changes are closely related to the carbon cycle of terrestrial ecosystems, and satellite data have been widely used in large scale phenological research. Numerous methods have been developed to reconstruct distinct satellite derived vegetation signals from continuous vegetation index time series and to track the points corresponding to important phenological events. In this study, we perform a multiple-method investigation of the spring vegetation growth onset phenology in temperate China north of 30 degrees N with NDVI (normalized difference vegetation index) data produced from SPOT satellites. The results indicated that the spring onset dates estimated from five different methods show similar spatial pattern along latitudinal or altitudinal gradients, but with significant variances in the dates. In most areas (76% of pixels), the standard deviation (SD) of the estimated spring onset dates from different methods is within one month, while in a few places (2% of pixels), mostly agricultural cropland, the SD is more than 60 days. Comparing the satellite derived green-up onset dates against the gross primary productivity (GPP) time series curves acquired from six eddy covariance towers further highlights the strengths and limits of different methods in estimating phenological events. In a vast region with diverse vegetation types and physical environment, it is critical to choose the "right" method for the "right" place. Generally climate factors such as temperature and precipitation play an important role in controlling the start of vegetation growth in temperate China. Yet this climate-phenology relationship varies largely across different regions and vegetation types. (C) 2012 Elsevier B.V. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000309312800011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Agronomy; Forestry; Meteorology & Atmospheric Sciences; SCI(E); 44; ARTICLE; 104-113; 165
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/161013]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Cong, Nan,Piao, Shilong,Chen, Anping,et al. Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis[J]. agricultural and forest meteorology,2012.
APA	Cong, Nan.,Piao, Shilong.,Chen, Anping.,Wang, Xuhui.,Lin, Xin.,...&Zhang, Xinping.(2012).Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis.agricultural and forest meteorology.
MLA	Cong, Nan,et al."Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis".agricultural and forest meteorology (2012).