• DocumentCode
    1931676
  • Title

    Adaptation of the GreenLab Model for Analyzing Sink-Source Relationships in Chinese Pine Saplings

  • Author

    Guo, Hong ; Letort, Veronique ; Hong, Lingxia ; Fourcaud, Thierry ; Cournede, Paul-Henry ; Lu, Yuanchang ; de Reffye, P.

  • Author_Institution
    Res. Inst. of Forest, Chinese Acad. of Forestry, Beijing
  • fYear
    2006
  • fDate
    13-17 Nov. 2006
  • Firstpage
    236
  • Lastpage
    243
  • Abstract
    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.
  • Keywords
    digital simulation; forestry; natural sciences computing; vegetation; Chinese Pine saplings; GreenLab model; allometry rules; biomass allocation; functional-structural models; sink-source relationships; tree growth; tree structure; Analytical models; Biomass; Calibration; Computational modeling; Environmental factors; Forestry; Laboratories; Mathematical model; Mathematics; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Plant Growth Modeling and Applications, 2006. PMA '06. Second International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-2851-9
  • Type

    conf

  • DOI
    10.1109/PMA.2006.32
  • Filename
    4548376