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Publication Details
Note: In October 2006, the North Central Research Station and the Northeastern Research Station joined to form the Northern Research Station. New publications are being added to the Northern Research Station Publications & Data site.
This publication is also available at: http://nrs.fs.fed.us/pubs/2564
Title: Hierarchical, parallel computing strategies using component object model for process modelling responses of forest plantations to interacting multiple stresses
Author: Isebrands, J. G.; Host, G. E.; Lenz, K.; Wu, G.; Stech, H. W.
Year: 2000
Publication: In: Ceulemans, R. J. M.; et al., eds. Forest ecosystem modelling, upscaling andremote sensing. The Hague, The Natherlands: SPB Academic Publishiing: 123-135. 2000
Abstract: 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.
Key Words: object-oriented programming, global climate change, Component Object Model (COM), multiple stresses
File Size: 630 kb's
This publication is available only online.
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USDA Forest Service - North Central Research Station
Last Modified: March 31, 2006