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Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems

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  • Bagnara, Maurizio
  • Sottocornola, Matteo
  • Cescatti, Alessandro
  • Minerbi, Stefano
  • Montagnani, Leonardo
  • Gianelle, Damiano
  • Magnani, Federico

Abstract

In this study we applied a modified version of Prelued, a simple semi-empirical light use efficiency (LUE) model, to eight eddy-covariance Italian sites. Since this model has been successfully applied mainly to coniferous forests located at northern latitudes, in our study we aimed to test its generality, by comparing Prelued's outputs in coniferous, broadleaf forests and in a Mediterranean macchia, at different climatic and environmental conditions. The model was calibrated for daily gross primary production (GPP) observed over one year in each flux site and validated for another year. The model uncertainties on both GPP and model parameters were estimated, applying a Bayesian calibration based on a multiple chains Markov Chain Monte Carlo sampling.

Suggested Citation

  • Bagnara, Maurizio & Sottocornola, Matteo & Cescatti, Alessandro & Minerbi, Stefano & Montagnani, Leonardo & Gianelle, Damiano & Magnani, Federico, 2015. "Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems," Ecological Modelling, Elsevier, vol. 306(C), pages 57-66.
    • Handle: RePEc:eee:ecomod:v:306:y:2015:i:c:p:57-66
    DOI: 10.1016/j.ecolmodel.2014.09.021
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    References listed on IDEAS

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    1. Xenakis, Georgios & Ray, Duncan & Mencuccini, Maurizio, 2008. "Sensitivity and uncertainty analysis from a coupled 3-PG and soil organic matter decomposition model," Ecological Modelling, Elsevier, vol. 219(1), pages 1-16.
    2. Ben D. MacArthur & Richard O. C. Oreffo, 2005. "Bridging the gap," Nature, Nature, vol. 433(7021), pages 19-19, January.
    3. Mo, Xingguo & Chen, Jing M. & Ju, Weimin & Black, T. Andrew, 2008. "Optimization of ecosystem model parameters through assimilating eddy covariance flux data with an ensemble Kalman filter," Ecological Modelling, Elsevier, vol. 217(1), pages 157-173.
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    1. Bagnara, Maurizio & Van Oijen, Marcel & Cameron, David & Gianelle, Damiano & Magnani, Federico & Sottocornola, Matteo, 2018. "Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest," Ecological Modelling, Elsevier, vol. 371(C), pages 90-100.

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