Parametric identification of a functional-structural tree growth model and application to beech trees (Fagus sylvatica)
Veronique Letort (MAS), Paul-Henry Courn\`ede (MAS), Am\'elie Mathieu, (MAS, EGC), Philippe De Reffye (CIRAD), Thi\'ery Constant (LERFOB)

TL;DR
This paper introduces a parametric identification method for a functional-structural tree growth model, GreenLab, applied to beech trees, enabling detailed simulation of growth responses and architecture with simplified yet flexible representations.
Contribution
The paper presents a global parameter estimation approach for the GreenLab model, allowing accurate reproduction of tree growth and architecture across different environmental conditions.
Findings
Model successfully reproduces growth of two beech trees in different environments.
Simulated and measured trees show close agreement in trunk and branch metrics.
The approach captures source-sink dynamics throughout development.
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…
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Taxonomy
TopicsForest ecology and management · Plant Water Relations and Carbon Dynamics · Tree-ring climate responses
