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    Author(s): J. G. Isebrands; G. E. Host; K. Lenz; G. Wu; H. W. Stech
    Date: 2000
    Source: In: Ceulemans, R. J. M.; et al., eds. Forest ecosystem modelling, upscaling andremote sensing. The Hague, The Natherlands: SPB Academic Publishiing: 123-135. 2000
    Publication Series: Scientific Journal (JRNL)
    Station: North Central Research Station
    PDF: View PDF  (630.9 KB)

    Description

    Process models are powerful research tools for assessing the effects of multiple environmental stresses on forest plantations. These models are driven by interacting environmental variables and often include genetic factors necessary for assessing forest plantation growth over a range of different site, climate, and silvicultural conditions. However, process models are usually detailed and present complex modelling challenges that require innovative computing approaches. The authors have developed a hierarchical, parallel computing strategy for modelling forest plantations growing under multiple stresses. The strategy utilizes object-oriented programming to achieve computational efficiencies through distributed processing within a parallel computing network using the Microsoft Component Object Model (COM). The authors present this strategy as an alternative for process modelling of forest plantations.

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Isebrands, J. G.; Host, G. E.; Lenz, K.; Wu, G.; Stech, H. W. 2000. Hierarchical, parallel computing strategies using component object model for process modelling responses of forest plantations to interacting multiple stresses. In: Ceulemans, R. J. M.; et al., eds. Forest ecosystem modelling, upscaling andremote sensing. The Hague, The Natherlands: SPB Academic Publishiing: 123-135. 2000

    Keywords

    object-oriented programming, global climate change, Component Object Model (COM), multiple stresses

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