Calibration of topological development in the procedure of parametric identification: application to the stochastic GreenLab model for Pinus Sylvestris var. Mongolica

Feng Wang (1) , Meng Zhen Kang (2) , Hui Han (3, 4) , Qi Lu (5) , Véronique Letort (6, 7) , Yan Guo (1, 2) , P. de Reffye (3, 7) , Baoguo Li (1)

1 PSI - Key Laboratory of Plant-Soil Interactions - College of Resources and Environmental Sciences
2 LIAMA - Eco-informatics
3 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
4 Liaoning Sand Fixation and Afforestation Institute
5 Key Laboratory of Tree Breeding and Cultivation
6 MAS - Mathématiques Appliquées aux Systèmes - EA 4037
7 DIGIPLANTE - Modélisation de la croissance et de l'architecture des plantes

Arid climate, biophysical conditions and human activities all contribute to the occurrences of ecosystem and environment problems, i.e. water scarcity, desertification, salinization, in arid and semiarid zone of North China. Mongolian Scots pine tree (Pinus sylvestris var. mongolica) is one of the principal species of the windbreak and sand-fixing forest in this area. In this paper, we present the calibration process of stochastic GreenLab model based on experiment data. Specific plant topology and sink–source parameters were estimated for Mongolian Scots pine trees through optimizing procedure. The fitting results showed that the calibration was reasonable and acceptable. The model produces several three-dimensional visual representations of Mongolian Scots pine trees with different topological structures simulated by Monte Carlo methods. This model can be used to describe the plant development and growth in a stand level, taking into accounts the variations in plant topology and biomass.

Mots clés: Pine; functional-structural model; stochastic architecture; number of organs; topology

Domaines: Biologie végétale; Systèmes dynamiques [math.DS]

Feng Wang, Meng Zhen Kang, Hui Han, Qi Lu, Véronique Letort, et al.. Calibration of topological development in the procedure of parametric identification: application to the stochastic GreenLab model for Pinus Sylvestris var. Mongolica. 2009 Plant Growth Modeling And Applications, Nov 2009, Beijing, China. pp.26-33. ⟨hal-00546799⟩