Stochastic modelling of tree architecture and biomass allocation: application to teak (Tectona grandis L. f.) a tree species with polycyclic growth and leaf neoformation

摘要

Background and aimsFor a given genotype, the observed variability of tree forms results from the stochasticity of meristem functioning and from changing and heterogeneous environmental factors affecting biomass formation and allocation. In response to climate change, trees adapt their architecture by adjusting growth processes such as pre- and neoformation, as well as polycyclic growth. This is the case for the teak tree. The aim of this work was to adapt the plant model, GreenLab, in order to take into consideration both these processes using existing data on this tree species.