Modelling polycyclic growth and leaf neoformation in trees

Trees can adapt their architecture in response to climate change by adjusting growth processes such as leaf neoformation and polycyclic growth. Tondjo et al. present work aimed to improve the plant growth model GreenLab in order to take into consideration these processes through stochastic functions.

Schematic representation of a simulation of the GreenLab model
Schematic representation of a simulation of the GreenLab model: development and growth simulation cycle, the model outputs, field measurements, the inverse method and the hidden parameters computed from the model. *Specific implementations made in the teak model. Image Tondjo et al. (2018)

The model is tested using existing data collected on planted teak trees (Tectona grandis, Lamiaceae) in Togo, Africa. Simulations reproduced the observed tree architectures and biomass production at different ages satisfactorily. The main advantage of Greenlab is its mathematical formulation that allows direct and fast calculation of a single tree or a forest.

Reference List

Tondjo, K., Brancheriau, L., Sabatier, S., Kokutse, A. D., Kokou, K., Jaeger, M., … Fourcaud, T. (2018). Stochastic modelling of tree architecture and biomass allocation: application to teak (Tectona grandis L. f.), a tree species with polycyclic growth and leaf neoformation. Annals of Botany, 121(7), 1397–1410. https://doi.org/10.1093/aob/mcy040