Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites

Y. Zhou, X. Wu, W. Ju, J.M. M. Chen, S. Wang, H. Wang, W. Yuan, A. Black, R. Jassal, A. Ibrom, S. Han, J. Yan, H. Margolis, O. Roupsard, Y. Li, F. Zhao, G. Kiely, G. Starr, M. Pavelka, L. MontagnaniG. Wohlfahrt, P. D'Odorico, D. Cook, M. Altaf Arain, D. Bonal, Jason Beringer, P. Blanken, B. Loubet, M. Leclerc, G. Matteucci, Z. Nagy, J. Olejnik, U. Paw, A. Varlagin

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    Abstract

    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 (ϵmsh) was 2.63 to 4.59 times that of sunlit leaves (ϵmsu). Generally, the relationships of ϵmsh and ϵmsu with ϵmax 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.
    Original languageEnglish
    Pages (from-to)1045–1072
    Number of pages28
    JournalJournal of Geophysical Research: Oceans
    Volume121
    Issue number4
    DOIs
    Publication statusPublished - 1 Apr 2016

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