Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data

doi:10.3390/rs11131593

	Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data
	Guo, Linghui 1,3; Gao, Jiangbo 2; Hao, Chengyuan 3; Zhang, Linlin 2,4; Wu, Shaohong 2,4; Xiao, Xiangming 1
刊名	REMOTE SENSING
	2019-07-01
卷号	11 期号:13 页码:21
关键词	winter wheat green-up date hydrothermal conditions North China Plain
ISSN号	2072-4292
DOI	10.3390/rs11131593
通讯作者	Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn)
英文摘要	Vegetation phenology plays a critical role in the dynamic response of terrestrial ecosystems to climate change. However, the relationship between the phenology of winter wheat and hydrothermal factors is inadequate, especially in typical agricultural areas. In this study, the possible effects of preseason climate changes on the green-up date (GUD) of winter wheat over the North China Plain (NCP) was investigated, using the MODIS EVI 8-day time-series data from 2000 to 2015, as well as the concurrent monthly mean temperature (T-m), mean maximum (T-max) and minimum temperature (T-min) and total precipitation (TP) data. Firstly, we quantitatively identified the time lag effects of winter wheat GUD responses to different climatic factors; then, the major driving factors for winter wheat GUD were further explored by applying multiple linear regression models. The results showed that the time lag effects of winter wheat GUD response to climatic factors were site- and climatic parameters-dependent. Negative temperature effects with about a 3-month time lag dominated in most of the NCP, whereas positive temperature effects with a zero-month lag were most common in some of the southern parts. In comparison, total precipitation had a negative zero-month lag effect in the northern region, but two lagged months occurred in the south. Regarding the time lag effects, the explanation power of climatic factors improved relatively by up to 77%, and the explanation area increased by 41.20%. Additionally, change in winter wheat GUD was primarily determined by temperature rather than by TP, with a marked spatial heterogeneity of the T-max and T-min effect. Our results confirmed different time lag effects from different climatic factors on phenological processes in spring, and further suggested that both T-max and T-min should be considered to improve the performance of spring phenology models.
资助项目	Natural Science Foundation of China[41601580] ; Natural Science Foundation of China[41671098] ; PhD Foundation of Henan University of Technology[B2015-17] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304] ; Innovative research team of Henan Polytechnic University[T2018-4]
WOS关键词	GROSS PRIMARY PRODUCTION ; CLIMATE-CHANGE ; NONLINEAR RESPONSE ; SPRING PHENOLOGY ; VEGETATION PHENOLOGY ; CARBON UPTAKE ; YIELD ; TEMPERATURE ; IMPACTS ; NDVI
WOS研究方向	Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000477049000084
资助机构	Natural Science Foundation of China ; PhD Foundation of Henan University of Technology ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Innovative research team of Henan Polytechnic University
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/68705]
专题	中国科学院地理科学与资源研究所
通讯作者	Gao, Jiangbo
作者单位	1.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China 3.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Guo, Linghui,Gao, Jiangbo,Hao, Chengyuan,et al. Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data[J]. REMOTE SENSING,2019,11(13):21.
APA	Guo, Linghui,Gao, Jiangbo,Hao, Chengyuan,Zhang, Linlin,Wu, Shaohong,&Xiao, Xiangming.(2019).Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data.REMOTE SENSING,11(13),21.
MLA	Guo, Linghui,et al."Winter Wheat Green-up Date Variation and its Diverse Response on the Hydrothermal Conditions over the North China Plain, Using MODIS Time-Series Data".REMOTE SENSING 11.13(2019):21.