Improvement of transpiration estimation based on a two-leaf conductance-photosynthesis model with seasonal parameters for temperate deciduous forests
文献类型:期刊论文
作者 | Jin, Jiaxin2,3,4; Liu, Ying2; Hou, Weiye2; Cai, Yulong2; Zhang, Fengyan2; Wang, Ying1; Fang, Xiuqin2; Huang, Lingxiao5; Yong, Bin2,3; Ren, Liliang2 |
刊名 | FRONTIERS IN PLANT SCIENCE |
出版日期 | 2023-05-08 |
卷号 | 14页码:12 |
ISSN号 | 1664-462X |
关键词 | two-leaf scheme ball-berry model stomatal conductance transpiration light use efficiency seasonal variability temperate deciduous forests |
DOI | 10.3389/fpls.2023.1164078 |
通讯作者 | Jin, Jiaxin(jiaxinking@hhu.edu.cn) ; Wang, Ying(mfacewang@njxzc.edu.cn) |
英文摘要 | IntroductionConductance-photosynthesis (G(s)-A) models, accompanying with light use efficiency (LUE) models for calculating carbon assimilation, are widely used for estimating canopy stomatal conductance (G(s)) and transpiration (T-c) under the two-leaf (TL) scheme. However, the key parameters of photosynthetic rate sensitivity (g(su) and g(sh)) and maximum LUE (epsilon(msu) and epsilon(msh)) are typically set to temporally constant values for sunlit and shaded leaves, respectively. This may result in T-c estimation errors, as it contradicts field observations. MethodsIn this study, the measured flux data from three temperate deciduous broadleaved forests (DBF) FLUXNET sites were adopted, and the key parameters of LUE and Ball-Berry models for sunlit and shaded leaves were calibrated within the entire growing season and each season, respectively. Then, the estimations of gross primary production (GPP) and T-c were compared between the two schemes of parameterization: (1) entire growing season-based fixed parameters (EGS) and (2) season-specific dynamic parameters (SEA). ResultsOur results show a cyclical variability of epsilon(msu) across the sites, with the highest value during the summer and the lowest during the spring. A similar pattern was found for g(su) and g(sh), which showed a decrease in summer and a slight increase in both spring and autumn. Furthermore, the SEA model (i.e., the dynamic parameterization) better simulated GPP, with a reduction in root mean square error (RMSE) of about 8.0 +/- 1.1% and an improvement in correlation coefficient (r) of 3.7 +/- 1.5%, relative to the EGS model. Meanwhile, the SEA scheme reduced T-c simulation errors in terms of RMSE by 3.7 +/- 4.4%. DiscussionThese findings provide a greater understanding of the seasonality of plant functional traits, and help to improve simulations of seasonal carbon and water fluxes in temperate forests. |
WOS关键词 | GROSS PRIMARY PRODUCTION ; NET ECOSYSTEM EXCHANGE ; USE EFFICIENCY MODEL ; CANOPY CONDUCTANCE ; LEAF ; EVAPOTRANSPIRATION ; CARBON ; CO2 ; PRODUCTIVITY ; 2-BIG-LEAF |
WOS研究方向 | Plant Sciences |
语种 | 英语 |
出版者 | FRONTIERS MEDIA SA |
WOS记录号 | WOS:000990286600001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/197126] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Jin, Jiaxin; Wang, Ying |
作者单位 | 1.NanJing XiaoZhuang Univ, Tourism & Social Adm Coll, Nanjing, Peoples R China 2.Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Peoples R China 3.Hohai Univ, Key Lab Water Big Data Technol, Minist Water Resources, Nanjing, Peoples R China 4.Natl Earth Syst Sci Data Ctr, Natl Sci & Technol Infrastruct China, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Jin, Jiaxin,Liu, Ying,Hou, Weiye,et al. Improvement of transpiration estimation based on a two-leaf conductance-photosynthesis model with seasonal parameters for temperate deciduous forests[J]. FRONTIERS IN PLANT SCIENCE,2023,14:12. |
APA | Jin, Jiaxin.,Liu, Ying.,Hou, Weiye.,Cai, Yulong.,Zhang, Fengyan.,...&Ren, Liliang.(2023).Improvement of transpiration estimation based on a two-leaf conductance-photosynthesis model with seasonal parameters for temperate deciduous forests.FRONTIERS IN PLANT SCIENCE,14,12. |
MLA | Jin, Jiaxin,et al."Improvement of transpiration estimation based on a two-leaf conductance-photosynthesis model with seasonal parameters for temperate deciduous forests".FRONTIERS IN PLANT SCIENCE 14(2023):12. |
入库方式: OAI收割
来源:地理科学与资源研究所
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