Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China

doi:10.1007/s40333-016-0121-9

CORC > 植物研究所 > 中国科学院植物研究所 > 植被与环境变化国家重点实验室

	Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China
	Sha Zongyao 1; Zhong Jialin ; Bai Yongfei 3; Tan Xicheng ; Li, Jonathan 1
刊名	JOURNAL OF ARID LAND
	2016
卷号	8 期号:3
关键词	phenological timing degradation harmonic analysis human activity climate restoration
ISSN号	1674-6767
DOI	10.1007/s40333-016-0121-9
文献子类	Article
英文摘要	Spatio-temporal variations of vegetation phenology, e.g. start of green-up season (SOS) and end of vegetation season (EOS), serve as important indicators of ecosystems. Routinely processed products from remotely sensed imagery, such as the normalized difference vegetation index (NDVI), can be used to map such variations. A remote sensing approach to tracing vegetation phenology was demonstrated here in application to the Inner Mongolia grassland, China. SOS and EOS mapping at regional and vegetation type (meadow steppe, typical steppe, desert steppe and steppe desert) levels using SPOT-VGT NDVI series allows new insights into the grassland ecosystem. The spatial and temporal variability of SOS and EOS during 1998-2012 was highlighted and presented, as were SOS and EOS responses to the monthly climatic fluctuations. Results indicated that SOS and EOS did not exhibit consistent shifts at either regional or vegetation type level; the one exception was the steppe desert, the least productive vegetation cover, which exhibited a progressive earlier SOS and later EOS. Monthly average temperature and precipitation in preseason (February, March and April) imposed most remarkable and negative effects on SOS (except for the non-significant impact of precipitation on that of the meadow steppe), while the climate impact on EOS was found to vary considerably between the vegetation types. Results showed that the spatio-temporal variability of the vegetation phenology of the meadow steppe, typical steppe and desert steppe could be reflected by the monthly thermal and hydrological factors but the progressive earlier SOS and later EOS of the highly degraded steppe desert might be accounted for by non-climate factors only, suggesting that the vegetation growing period in the highly degraded areas of the grassland could be extended possibly by human interventions.
学科主题	Environmental Sciences
电子版国际标准刊号	2194-7783
出版地	HEIDELBERG
WOS关键词	NDVI TIME-SERIES ; MEAN CLIMATE DATA ; GREEN-UP DATE ; SPATIAL INTERPOLATION ; DIFFERENT BIOMES ; SPOT-VGT ; MODIS ; AVHRR ; LAND ; TRENDS
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000373138300014
资助机构	Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA05050402] ; Key Laboratory for Geographic State Monitoring of the National Administration of Surveying, Mapping and Geoinformation ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41071249, 41371371]
内容类型	期刊论文
源URL	[http://ir.ibcas.ac.cn/handle/2S10CLM1/24323]
专题	植被与环境变化国家重点实验室
作者单位	1.Wuhan Univ, Int Software Sch, Wuhan 430079, Peoples R China 2.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 3.Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada
推荐引用方式 GB/T 7714	Sha Zongyao,Zhong Jialin,Bai Yongfei,et al. Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China[J]. JOURNAL OF ARID LAND,2016,8(3).
APA	Sha Zongyao,Zhong Jialin,Bai Yongfei,Tan Xicheng,&Li, Jonathan.(2016).Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China.JOURNAL OF ARID LAND,8(3).
MLA	Sha Zongyao,et al."Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China".JOURNAL OF ARID LAND 8.3(2016).