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

文献类型：期刊论文

作者Guo, Linghui1,4; Gao, Jiangbo3; Hao, Chengyuan4; Zhang, Linlin2,3; Wu, Shaohong2,3; Xiao, Xiangming1
刊名REMOTE SENSING
出版日期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
DOI10.3390/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.
WOS关键词GROSS PRIMARY PRODUCTION ; CLIMATE-CHANGE ; NONLINEAR RESPONSE ; SPRING PHENOLOGY ; VEGETATION PHENOLOGY ; CARBON UPTAKE ; YIELD ; TEMPERATURE ; IMPACTS ; NDVI
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研究方向Remote Sensing
语种英语
WOS记录号WOS:000477049000084
出版者MDPI
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
源URL[http://ir.igsnrr.ac.cn/handle/311030/68705]  
专题陆地表层格局与模拟院重点实验室_外文论文
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.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China
4.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, 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.

入库方式： OAI收割

来源：地理科学与资源研究所

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