Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest

Maurizio Bagnara,Marcel Van Oijen,David Cameron,Damiano Gianelle,Federico Magnani,Matteo Sottocornola

Ecological Modelling（2018）

引用 3|浏览19

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摘要

•Calibration issues must be investigated in order to ensure reliable model results.•A model with strongly multiplicative mathematical structure delays MCMC convergence.•All tested MCMC-methods were similarly effective.•A very high number of iterations was required for the MCMC to reach convergence.•Informative prior distributions were ineffective in facilitating convergence.

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关键词

Forest model,Prelued,Bayesian calibration,Markov Chain Monte Carlo,Light Use Efficiency,GPP

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