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

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.

Bibliographic Details

Main Authors:	Wang, Feng, Kang, Meng Zhen, Qi Lu, Hui Han, Letort, Véronique, Guo, Yan, De Reffye, Philippe, Li, Baoguo
Format:	conference_item biblioteca
Language:	eng
Published:	IEEE Computer Society
Subjects:	U10 - Informatique, mathématiques et statistiques, F50 - Anatomie et morphologie des plantes, F62 - Physiologie végétale - Croissance et développement, Pinus sylvestris, modèle mathématique, anatomie végétale, développement biologique, croissance, biomasse, http://aims.fao.org/aos/agrovoc/c_5912, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_5954, http://aims.fao.org/aos/agrovoc/c_921, http://aims.fao.org/aos/agrovoc/c_3394, http://aims.fao.org/aos/agrovoc/c_926, http://aims.fao.org/aos/agrovoc/c_1556,
Online Access:	http://agritrop.cirad.fr/556049/
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