气候变化领域集成服务门户(CCPortal): Spring vegetation green-up date in China inferred from SPOT NDVI data: A multiple model analysis

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DOI	10.1016/j.agrformet.2012.06.009
	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
通讯作者	Piao, SL (通讯作者)
发表日期	2012
ISSN	0168-1923
EISSN	1873-2240
起始页码	104
结束页码	113
卷号	165
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.
关键词	NET ECOSYSTEM EXCHANGE GROWING-SEASON TIME-SERIES CARBON-DIOXIDE NORTH-AMERICA PLANT-GROWTH CLIMATE PHENOLOGY TEMPERATURE VARIABILITY
英文关键词	Climate change; Phenology; NDVI; Spring vegetation green-up date; China
语种	英语
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS类目	Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000309312800011
来源期刊	AGRICULTURAL AND FOREST METEOROLOGY
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/258081
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]. 中国科学院青藏高原研究所,2012,165.
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,165.
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 165(2012).