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

doi:10.1007/s40333-016-0121-9

	Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China
	Sha Zongyao 1; Zhong Jialin ; Bai Yongfei2 ; Tan Xicheng ; Li, Jonathan 1
	2016
发表期刊	JOURNAL OF ARID LAND
ISSN	1674-6767
卷号	8 期号:3 页码:462-477
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.
关键词	phenological timing degradation harmonic analysis human activity climate restoration
学科领域	Environmental Sciences
DOI	10.1007/s40333-016-0121-9
收录类别	SCI
语种	英语
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)
WOS记录号	WOS:000373138300014
出版者	SPRINGER HEIDELBERG
文献子类	Article
出版地	HEIDELBERG
EISSN	2194-7783
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]
作者邮箱	zongyaosha@163.com
作品OA属性	Bronze
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/24971
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.Univ Waterloo, Dept Geog & Environm Management, Waterloo, ON N2L 3G1, Canada 3.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
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):462-477.
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),462-477.
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):462-477.

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