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

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

Abstract

Forest models are increasingly being used to study ecosystem functioning, through simulation of carbon fluxes and productivity in different biomes and plant functional types all over the world. Several forest models based on the concept of Light Use Efficiency (LUE) rely mostly on a simplified mathematical structure and empirical parameters, require little amount of data to be run, and their computations are usually fast. However, possible calibration issues must be investigated in order to ensure reliable results.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:371:y:2018:i:c:p:90-100
    DOI: 10.1016/j.ecolmodel.2018.01.014
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    References listed on IDEAS

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