Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors

doi:10.1080/01431161.2018.1506185

	Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors
	Guo, Jian 1,2; Yang, Xiuchun 1; Niu, Jianming 2; Jin, Yunxiang 1; Xu, Bin 1; Shen, Ge 1; Zhang, Wenbo 1; Zhao, Fen 3; Zhang, Yujing 1
刊名	INTERNATIONAL JOURNAL OF REMOTE SENSING
	2019
卷号	40 期号:5-6 页码:2190-2211
ISSN号	0143-1161
DOI	10.1080/01431161.2018.1506185
通讯作者	Yang, Xiuchun(yangxiuchun@caas.cn)
英文摘要	The grassland vegetation green-up date helps to initiate the start of grassland grazing and is an important scientific issue in grassland phenology research. This study examined green-up in the Xilingol grasslands of northern China. A double logistic function was used to reconstruct a time series of Satellite Pour l'Observation de la Terre Vegetation (SPOT Vegetation) Normalized Difference Vegetation Index (NDVI) data from 1999 to 2012. The dynamic threshold method was used to monitor the green-up date via remote sensing. The study found that green-up dates occurred between early April and mid-May in most areas. Sample plots indicated that 68% of ground monitoring results were consistent with the remotely sensed green-up date. The root mean square error of the green-up date measured via remote sensing was 8.7days. The results are summarized as follows. (1) The green-up date of temperate desert grassland usually occurred around the first half of April but could be quite variable (standard deviation=28.65days). The green-up date of temperate grassland usually occurred in mid- to late April, and was somewhat variable (standard deviation=18.45days). The green-up date of temperate meadow grassland usually occurred in late April or early May with little variability (standard deviation=12.97days). (2) Linear trend analyses showed that only 13.9% of the pixels exhibited significant changes over the 14-year time series. However, the linear trend increased from the southeast to the northwest, with 57% of pixels demonstrating earlier green-up. Across the region, the linear trend exhibited an average rate of change of - 1.5days 10year(-1). In addition, we discuss correlations between green-up dates and meteorological factors at eight meteorological stations and analyse partial correlation coefficients between green-up dates and meteorological factors. The correlations measured at seven meteorological stations were statistically significant (p<0.05). The average correlative value of deterministic factors was 0.54. The partial correlation coefficients between green-up date and temperature prior to seedling establishment were negative at five stations, but this relationship was significant at only three stations. Partial correlation coefficients between green-up date and precipitation prior to seedling establishment were negative at all eight stations, of which five relationships were significant.
资助项目	National Natural Science Foundation of China[31372354] ; National Natural Science Foundation of China[41571105] ; National Non-Profit Scientific Institution, Ministry of Finance of China[CAAS-Y2017CG09]
WOS关键词	LAND-SURFACE PHENOLOGY ; SPRING VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; TIME-SERIES ; LONG-TERM ; MODIS ; TEMPERATE ; COVER ; PRECIPITATION ; IMPACTS
WOS研究方向	Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000464043900036
资助机构	National Natural Science Foundation of China ; National Non-Profit Scientific Institution, Ministry of Finance of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48087]
专题	中国科学院地理科学与资源研究所
通讯作者	Yang, Xiuchun
作者单位	1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agriinformat, Beijing 100081, Peoples R China 2.Inner Mongolia Univ, Sch Ecol & Environm, Hohhot, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Guo, Jian,Yang, Xiuchun,Niu, Jianming,et al. Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING,2019,40(5-6):2190-2211.
APA	Guo, Jian.,Yang, Xiuchun.,Niu, Jianming.,Jin, Yunxiang.,Xu, Bin.,...&Zhang, Yujing.(2019).Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors.INTERNATIONAL JOURNAL OF REMOTE SENSING,40(5-6),2190-2211.
MLA	Guo, Jian,et al."Remote sensing monitoring of green-up dates in the Xilingol grasslands of northern China and their correlations with meteorological factors".INTERNATIONAL JOURNAL OF REMOTE SENSING 40.5-6(2019):2190-2211.