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

Yanlian Zhou, Xiaocui Wu, Weimin Ju, Jing M. Chen, Shaoqiang Wang, Huimin Wang, Wenping Yuan, T. Andrew Black, Rachhpal Jassal, Andreas Ibrom, Shijie Han, Junhua Yan, Hank Margolis, Olivier Roupsard, Yingnian Li, Fenghua Zhao, Gerard Kiely, Gregory Starr, Marian Pavelka, Leonardo MontagnaniGeorg Wohlfahrt, Petra D'Odorico, David Cook, M. Altaf Arain, Damien Bonal, Jason Beringer, Peter D. Blanken, Benjamin Loubet, Monique Y. Leclerc, Giorgio Matteucci, Zoltan Nagy, Janusz Olejnik, Kyaw Tha Paw U, Andrej 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 (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.
Original languageEnglish
JournalJournal of Geophysical Research: Biogeosciences
Volume121
Issue number4
Pages (from-to)1045-1072
Number of pages28
ISSN2169-8953
DOIs
Publication statusPublished - 2015

Bibliographical note

© 2015. The Authors. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made

Keywords

  • FLUXNET
  • Gross primary productivity
  • MODIS
  • Sunlit and shaded leaves
  • Two-leaf light use efficiency model

Cite this

Zhou, Y., Wu, X., Ju, W., Chen, J. M., Wang, S., Wang, H., Yuan, W., Black, T. A., Jassal, R., Ibrom, A., Han, S., Yan, J., Margolis, H., Roupsard, O., Li, Y., Zhao, F., Kiely, G., Starr, G., Pavelka, M., ... Varlagin, A. (2015). Global parameterization and validation of a two-leaf light use efficiency model for predicting gross primary production across FLUXNET sites: TL-LUE Parameterization and Validation. Journal of Geophysical Research: Biogeosciences, 121(4), 1045-1072. https://doi.org/10.1002/2014JG002876