Parametric identification of a functional-structural tree growth model and application to beech trees (Fagus sylvatica)

Functional Plant Biology : FPB
Veronique LetortThiéry Constant

Abstract

Functional-structural models provide detailed representations of tree growth and their application to forestry seems full of prospects. However, owing to the complexity of tree architecture, parametric identification of such models remains a critical issue. We present the GreenLab approach for modelling tree growth. It simulates tree growth plasticity in response to changes of their internal level of trophic competition, especially topological development and cambial growth. The model includes a simplified representation of tree architecture, based on a species-specific description of branching patterns. We study whether those simplifications allow enough flexibility to reproduce with the same set of parameters the growth of two observed understorey beech trees (Fagus sylvatica L.) of different ages in different environmental conditions. The parametric identification of the model is global, i.e. all parameters are estimated simultaneously, potentially providing a better description of interactions between sub-processes. As a result, the source-sink dynamics throughout tree development is retrieved. Simulated and measured trees were compared for their trunk profiles (fresh masses and dimensions of every growth units, ring diamet...Continue Reading

References

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Citations

Jan 26, 2018·Annals of Botany·Romain LehnebachPatrick Heuret
Nov 5, 2019·Frontiers in Plant Science·Anne SchneiderJessica Bertheloot
Aug 8, 2014·Frontiers in Plant Science·Robert BeyerPaul-Henry Cournède
May 25, 2012·The New Phytologist·MengZhen KangPhilippe de Reffye
Jul 6, 2014·Frontiers in Plant Science·E David Ford
May 12, 2020·Annals of Botany·Frédéric BoudonFrédéric Normand
Feb 6, 2020·Mathematical Biosciences·Hussein KansoValentina Baldazzi

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