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Adaptation of the GreenLab model for analyzing sink-source relationships in Chinese Pine saplings  ( EI收录)  

文献类型:会议论文

英文题名:Adaptation of the GreenLab model for analyzing sink-source relationships in Chinese Pine saplings

作者:Guo, Hong[1] Letort, Veronique[2] Hong, Lingxia[1] Fourcaud, Thierry[3] Cournède, Paul-Henry[2] Lu, Yuanchang[1] De Reffye, Philippe[4]

第一作者:国红

通信作者:Guo, H.|[a0005e2d43cc35fcfa122]郭慧;[a0005739db043d638e8dc]郭浩;[a0005a25a99ae27e5b4bd]国红;[a000556756552c221a7d9]郭昊;

机构:[1] Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, China; [2] Laboratory of Applied Mathematics, Ecole Centrale Paris, Paris, France; [3] CIRAD, UMR AMAP, Montpellier, France; [4] CIRAD, AMAP and INRIA Futurs - DigiPlante, Montpellier, France

会议论文集:Proceedings - Second International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, PMA 2006

会议日期:November 13, 2006 - November 17, 2006

会议地点:Beijing, China

语种:英文

外文关键词:Biology - Forestry - Trees (mathematics)

年份:2006

摘要:Since the 1990s, a new generation of models has emerged to simulate tree growth with consideration of both tree structure and functional processes. However, calibration of these functional-structural models (FSMs) often remains an open problem due to the topological complexity of trees and to the heavy measurements required. In this paper, we explore a possible way for dealing with the fitting problem, based on the GreenLab model approach. Detailed organ-level data including topological and geometrical measurements were collected on eight Chinese Pine (Pinus tabulaeformis Carr.) saplings grown near Beijing. Adaptation of GreenLab to introduce a flexible modeling for biomass allocation to ring growth is presented. The main assumptions, such as allometry rules and sink relationships, were investigated. The problem of calibration of a complex branching structure was solved by defining an average tree. The results were interpreted with particular focus on the ones concerning the hidden mechanisms of secondary growth. ? 2007 IEEE.

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