Wang Feng, Kang Meng Zhen, Qi Lu, Hui Han, Letort Véronique, Guo Yan, De Reffye Philippe, Li Baoguo.
2010. Calibration of topological development in the procedure of parametric identification : application of the stochastic GreenLab model for Pinus sylvestris var. mongolica.
In : Plant growth modeling and applications. Proceedings PMA09 : The Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Beijing, China, 9-13 November 2009. Li Baoguo (ed.), Jaeger Marc (ed.), Guo Yan (ed.). China Agricultural University, CIRAD
Résumé : 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 presented 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 process were reasonable and acceptable. The model produced a variety of 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 Agrovoc : Pinus sylvestris, modèle mathématique, anatomie végétale, développement biologique, croissance, biomasse
Mots-clés géographiques Agrovoc : Chine
Classification Agris : U10 - Informatique, mathématiques et statistiques
F50 - Anatomie et morphologie des plantes
F62 - Physiologie végétale - Croissance et développement
Auteurs et affiliations
- Wang Feng, CAU [China Agricultural University] (CHN)
- Kang Meng Zhen, Institut d'automatique (CHN)
- Qi Lu, Chinese Academy of Forestry (CHN)
- Hui Han, Chinese Academy of Forestry (CHN)
- Letort Véronique, Ecole centrale Paris (FRA)
- Guo Yan, CAU [China Agricultural University] (CHN)
- De Reffye Philippe, CIRAD-BIOS-UMR AMAP (FRA)
- Li Baoguo, CAU [China Agricultural University] (CHN)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/556049/)
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