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Impact of spring phenology variation on GPP and its lag feedback for winter wheat over the North China Plain

文献类型：期刊论文

作者Guo, Linghui3; Gao, Jiangbo1; Ma, Shouchen3; Chang, Qing4; Zhang, Linlin1; Wang, Suxian2; Zou, Youfeng3; Wu, Shaohong1; Xiao, Xiangming4
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2020-07-10
卷号725页码:11
ISSN号0048-9697
关键词North China Plain Winter wheat Spring phenology Plant productivity Hydrothermal variation
DOI10.1016/j.scitotenv.2020.138342
通讯作者Gao, Jiangbo(gaojiangbo@igsnrr.ac.cn) ; Ma, Shouchen(mashouchen@hpu.edu.cn)
英文摘要Spring green-up date (GUD) is a sensitive indicator of climate change, and of great significance to winter wheat production. However, our knowledge of the chain relationships among them is relatively weak. In this study, based on 8-day Enhanced Vegetation Index (EVI) data from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2001 to 2015, we first assessed the performance of four algorithms for extracting winter wheat GUD in the North China Plain (NCP). A multiple linear regression model was then established to quantitatively determine the contributions of the time lag effects of hydrothermal variation on GUD. We further investigated the interactions between GUD and gross primary production (GPP) comprehensively. Our results showed that the rate of change in curvature algorithm(RCCmax) had better performance in capturing the spatiotemporal variation of winter wheat GUD relative to the other threemethods (Kmax, CRmax, and cumCRmax). Regarding the non-identical lag time effects of hydrothermal factors, hydrothermal variations could explain winter wheat GUD variations for 82.05% of all pixels, 36.78% higher than that without considering the time lag effects. Variation in GUD negatively correlated with winter wheat GPP after green up in most parts of the NCP, significantly in 35.75% of all pixels with a mean rate of 1.89 g C m(-2) yr(-1) day(-1). Meanwhile, winter wheat GPP exerted a strongly positive feedback on GUD in N82.42% of all pixels (significant in 28.01% of all pixels), characterized by a humped-shape pattern along the long-term average plant productivity. This finding highlights the complex interaction between spring phenology and plant productivity, and also suggests the importance of preseason climate factors on spring phenology. (C) 2020 Elsevier B.V. All rights reserved.
WOS关键词GREEN-UP DATE ; GROSS PRIMARY PRODUCTIVITY ; DECIDUOUS BROADLEAF FOREST ; VEGETATION PHENOLOGY ; CLIMATE-CHANGE ; PLANT PHENOLOGY ; TIBETAN PLATEAU ; TRENDS ; ECOSYSTEMS ; PATTERNS
资助项目Natural Science Foundation of China[41601580] ; Natural Science Foundation of China[41671098] ; Natural Science Foundation of China[U1904210] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19040304] ; National Key Research and Development Program[2017YFD0301106-1] ; Innovative Research Team of Henan Polytechnic University[T2018-4] ; Research Projects of Land and Resources in Henan Province[201904507] ; Open Foundation of Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences[LBKF201801]
WOS研究方向Environmental Sciences & Ecology
语种英语
出版者ELSEVIER
WOS记录号WOS:000537430800005
资助机构Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Key Research and Development Program ; Innovative Research Team of Henan Polytechnic University ; Research Projects of Land and Resources in Henan Province ; Open Foundation of Key Laboratory of Land Surface Pattern and Simulation, Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/159494]  
专题中国科学院地理科学与资源研究所
通讯作者Gao, Jiangbo; Ma, Shouchen
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, 11A Datun Rd, Beijing 100101, Peoples R China
2.Henan Polytech Univ, Emergency Management Sch, Jiaozuo 454000, Henan, Peoples R China
3.Henan Polytech Univ, Sch Surveying & Land Informat Engn, Jiaozuo 454000, Henan, Peoples R China
4.Univ Oklahoma, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
推荐引用方式
GB/T 7714		 Guo, Linghui,Gao, Jiangbo,Ma, Shouchen,et al. Impact of spring phenology variation on GPP and its lag feedback for winter wheat over the North China Plain[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2020,725:11.
APA Guo, Linghui.,Gao, Jiangbo.,Ma, Shouchen.,Chang, Qing.,Zhang, Linlin.,...&Xiao, Xiangming.(2020).Impact of spring phenology variation on GPP and its lag feedback for winter wheat over the North China Plain.SCIENCE OF THE TOTAL ENVIRONMENT,725,11.
MLA Guo, Linghui,et al."Impact of spring phenology variation on GPP and its lag feedback for winter wheat over the North China Plain".SCIENCE OF THE TOTAL ENVIRONMENT 725(2020):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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