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Seasonal fluctuations of photosynthetic parameters for light use efficiency models and the impacts on gross primary production estimation
Lin, Xiaofeng1,2; Chen, Baozhang1,2,3; Chen, Jing4; Zhang, Huifang1; Sun, Shaobo1,2; Xu, Guang1,2; Guo, Lifeng1,2; Ge, Mengyu3; Qu, Junfeng3; Li, Lijuan5; Kong, Yawen1,2
2017-04-15
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
Volume236Pages:22-35
Corresponding AuthorChen, Baozhang(baozhang.chen@igsnrr.ac.cn)
AbstractHow 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.
KeywordLight use efficiency (LUE) models Seasonal variations of maximum LUE parameters Capacity of gross primary production Metropolis-Hasting algorithm Eddy covariance
DOI10.1016/j.agrformet.2016.12.019
WOS KeywordCARBON-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
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Key Technology Support Program ; State Key Laboratory of Resources and Environment Information System ; National Science Foundation of China
WOS Research AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
WOS SubjectAgronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS IDWOS:000396956700002
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/64662
Collection中国科学院地理科学与资源研究所
Corresponding AuthorChen, Baozhang
Affiliation1.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
Recommended Citation
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.
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