中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites

文献类型:SCI/SSCI论文

作者Zhou Y. L.; Wu, X. C.; Ju, W. M.; Chen, J. M.; Wang, S. Q.; Wang, H. M.; Yuan, W. P.; Black, T. A.; Jassal, R.; Ibrom, A.
发表日期2016
关键词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
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.
出处Journal of Geophysical Research-Biogeosciences
121
4
1045-1072
收录类别SCI
语种英语
ISSN号2169-8953
源URL[http://ir.igsnrr.ac.cn/handle/311030/43955]  
专题地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
推荐引用方式
GB/T 7714
Zhou Y. L.,Wu, X. C.,Ju, W. M.,et al. Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites. 2016.

入库方式: OAI收割

来源:地理科学与资源研究所

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