• DocumentCode
    497053
  • Title

    Study on Growth Model of Sabina Vulgaris

  • Author

    Jiang, Zhen-jie ; Geng, Zhao-Feng ; Zhou, Wen-hua

  • Author_Institution
    Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    137
  • Lastpage
    139
  • Abstract
    Many experiments have verified that Sabina vulgaris shrubs had distinguished advantage in anti-drought, but a lot of past works were primarily focused on its eco-physiological characteristics, with its growth model almost never explored. In this work, the primary model of S. vulgaris shrubs is discussed and improved based on the dual-scale automaton model with the data from experiments. The diversification on its internode lengths, branching angles and curvature of branches in different growth cycles is also discussed. This study introduces a new method from agro-ecological perspective. The dynamic model describes the growth of S. vulgaris more accurately in natural environment, and visualization can be implemented by using C++ and OpenGL. The result provides a feasible study on the dynamics of S. vulgaris growth, architecture and geometry in various drought environments.
  • Keywords
    C++ language; ecology; geophysical techniques; geophysics computing; vegetation; C++; OpenGL; Sabina vulgaris shrubs growth cycle; agro-ecological perspective; branch curvature; branching angles; drought environments; dual-scale automaton model; ecophysiological characteristics; internode lengths; primary model; Automata; Computational geometry; Computational modeling; Computer architecture; Computer simulation; Data visualization; Educational institutions; Information science; Production systems; Solid modeling; branching angle; curvature; internode length; model; sabina vulgaris; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.356
  • Filename
    5200083