Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation

doi:10.1016/j.agrformet.2016.12.019

	Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation
	Lin, Xiaofeng 1,2; Chen, Baozhang 1,2,3; Chen, Jing 4; Zhang, Huifang 1; Sun, Shaobo 1,2; Xu, Guang 1,2; Guo, Lifeng 1,2; Ge, Mengyu 3; Qu, Junfeng 3; Li, Lijuan 5
刊名	AGRICULTURAL AND FOREST METEOROLOGY
	2017-04-15
卷号	236 页码:22-35
关键词	Light use efficiency (LUE) models Seasonal variations of maximum LUE parameters Capacity of gross primary production Metropolis-Hasting algorithm Eddy covariance
ISSN号	0168-1923
DOI	10.1016/j.agrformet.2016.12.019
通讯作者	Chen, Baozhang(baozhang.chen@igsnrr.ac.cn)
英文摘要	How parameterization improves Light-use efficiency (LUE) models by taking into account the seasonal variations of the maximum LUE (epsilon(max)) has been rarely investigated. The LUE models include two categories which are the one-leaf LUE model (SL-LUE) and the two-leaf LUE model (TL-LUE) with separation of sunlit and shaded leaves (epsilon(msu) and epsilon(msh)). In this study, the SL-LUE and TL-LUE models were parameterized for 46 towers (176 site-years data) representing eighteen typical plant functional types (PFTs) by using the Metropolis-Hasting algorithm at monthly time scales. The results indicate that the maximum LUE parameters varied seasonally for most PFTs having a significant positive linear correlation with leaf area index (LAI) and ambient temperature changes. The relationships of epsilon(msu) and epsilon(msh) with epsilon(max) can be well described by linear equations, indicating the existence of general patterns across biomes. And as expected, The LUE models with the seasonal fluctuations of epsilon(max), epsilon(msu) and epsilon(msh) significantly improved GPP estimation except for needleleaf evergreen forests in mid- and low- latitude regions. The improvements of both the SL-WE and TL-LUE models were most significant in summer for tropical and Mediterranean climate regions, while most evident in spring and winter for temperate and boreal climate regions. Even with seasonal parameters, both the LUE models still cannot well capture GPP dynamics in cold season for some PFTs in Mediterranean and tropical regions (e.g., Tropical-BEF, C3-C4 grass). This study suggests that further improvement of modelling GPP requires taking into account seasonal variations of the key parameters. (C) 2016 Elsevier B.V. All rights reserved.
资助项目	National Key Technology Support Program[2013BAC03B04] ; State Key Laboratory of Resources and Environment Information System[O88RA901YA] ; State Key Laboratory of Resources and Environment Information System[O8R8A085YA] ; National Science Foundation of China[41271116] ; National Science Foundation of China[31500402]
WOS关键词	CARBON-DIOXIDE EXCHANGE ; NET ECOSYSTEM EXCHANGE ; EVERGREEN NEEDLELEAF FOREST ; RADIATION-USE EFFICIENCY ; ATMOSPHERE WATER FLUX ; EDDY COVARIANCE DATA ; BAYESIAN CALIBRATION ; ACTIVE RADIATION ; INTERANNUAL VARIABILITY ; STOMATAL CONDUCTANCE
WOS研究方向	Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000396956700002
资助机构	National Key Technology Support Program ; State Key Laboratory of Resources and Environment Information System ; National Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/64661]
专题	中国科学院地理科学与资源研究所
通讯作者	Chen, Baozhang
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, 11A,Datun Rd, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, 19A,Yuquan Rd, Beijing 100049, Peoples R China 3.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Peoples R China 4.Beijing Meteorol Bur, Meteorol Informat Ctr Beijing, 44 Zizhuyuan Rd, Beijing 100089, Peoples R China 5.China Univ Geosci, Fac Earth Sci & Resources, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Lin, Xiaofeng,Chen, Baozhang,Chen, Jing,et al. Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation[J]. AGRICULTURAL AND FOREST METEOROLOGY,2017,236:22-35.
APA	Lin, Xiaofeng.,Chen, Baozhang.,Chen, Jing.,Zhang, Huifang.,Sun, Shaobo.,...&Kong, Yawen.(2017).Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation.AGRICULTURAL AND FOREST METEOROLOGY,236,22-35.
MLA	Lin, Xiaofeng,et al."Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation".AGRICULTURAL AND FOREST METEOROLOGY 236(2017):22-35.