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Calibration of topological development in the procedure of parametric identification : application of the stochastic GreenLab model for Pinus sylvestris var. mongolica

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. Los Alamitos : IEEE Computer Society, pp. 26-33. ISBN 978-0-7695-3988-1 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA09). 3, Pékin, Chine, 9 November 2009/13 November 2009.

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Abstract : 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. (Résumé d'auteur)

Mots-clés Agrovoc : Pinus sylvestris, Modèle mathématique, Anatomie végétale, Développement biologique, Croissance, Biomasse

Mots-clés géographiques Agrovoc : Chine

Classification Agris : U10 - Mathematical and statistical methods
F50 - Plant structure
F62 - Plant physiology - Growth and development

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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