Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites
Zhou, Yanlian1,2; Wu, Xiaocui2,3; Ju, Weimin3,4; Chen, Jing M.2,3; Wang, Shaoqiang5; Wang, Huimin5; Yuan, Wenping6; Black, T. Andrew7; Jassal, Rachhpal7; Ibrom, Andreas8
刊名journal of geophysical research-biogeosciences
2016-04-01
卷号121期号:4页码:1045-1072
英文摘要light use efficiency (lue) models are widely used to simulate gross primary production (gpp). however, the treatment of the plant canopy as a big leaf by these models can introduce large uncertainties in simulated gpp. recently, a two-leaf light use efficiency (tl-lue) model was developed to simulate gpp separately for sunlit and shaded leaves and has been shown to outperform the big-leaf mod17 model at six flux sites in china. in this study we investigated the performance of the tl-lue model for a wider range of biomes. for this we optimized the parameters and tested the tl-lue model using data from 98 fluxnet sites which are distributed across the globe. the results showed that the tl-lue model performed in general better than the mod17 model in simulating 8 day gpp. optimized maximum light use efficiency of shaded leaves (epsilon(msh)) was 2.63 to 4.59 times that of sunlit leaves (epsilon(msu)). generally, the relationships of epsilon(msh) and epsilon(msu) with epsilon(max) were well described by linear equations, indicating the existence of general patterns across biomes. gpp simulated by the tl-lue model was much less sensitive to biases in the photosynthetically active radiation (par) input than the mod17 model. the results of this study suggest that the proposed tl-lue model has the potential for simulating regional and global gpp of terrestrial ecosystems, and it is more robust with regard to usual biases in input data than existing approaches which neglect the bimodal within-canopy distribution of par.
WOS标题词science & technology ; life sciences & biomedicine ; physical sciences
类目[WOS]environmental sciences ; geosciences, multidisciplinary
研究领域[WOS]environmental sciences & ecology ; geology
关键词[WOS]net ecosystem exchange ; photosynthetically active radiation ; carbon-dioxide exchange ; terrestrial primary production ; eddy covariance technique ; water-vapor exchange ; ncep-ncar reanalysis ; land-surface model ; deciduous forest ; diffuse-radiation
收录类别SCI
语种英语
WOS记录号WOS:000378702800002
内容类型期刊论文
源URL[http://ir.nwipb.ac.cn/handle/363003/6483]  
专题西北高原生物研究所_中国科学院西北高原生物研究所
作者单位1.Nanjing Univ, Sch Geog & Oceanog Sci, Jiangsu Prov Key Lab Geog Informat Sci & Technol, Nanjing 210008, Jiangsu, Peoples R China
2.Joint Ctr Global Change Studies, Beijing, Peoples R China
3.Nanjing Univ, Int Inst Earth Syst Sci, Nanjing 210008, Jiangsu, Peoples R China
4.Jiangsu Ctr Collaborat Innovat Geog Informat Res, Nanjing, Jiangsu, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
6.Beijing Normal Univ, Future Earth Res Inst, State Key Lab Earth Surface Proc & Resource, Beijing 100875, Peoples R China
7.Univ British Columbia, Fac Land & Food Syst, Vancouver, BC V5Z 1M9, Canada
8.Tech Univ Denmark DTU, Dept Environm Engn, Lyngby, Denmark
9.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
10.Chinese Acad Sci, South China Bot Garden, Guangzhou, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Yanlian,Wu, Xiaocui,Ju, Weimin,et al. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites[J]. journal of geophysical research-biogeosciences,2016,121(4):1045-1072.
APA Zhou, Yanlian.,Wu, Xiaocui.,Ju, Weimin.,Chen, Jing M..,Wang, Shaoqiang.,...&Varlagin, Andrej.(2016).Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites.journal of geophysical research-biogeosciences,121(4),1045-1072.
MLA Zhou, Yanlian,et al."Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites".journal of geophysical research-biogeosciences 121.4(2016):1045-1072.
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