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    Author(s): Daniel L. Schmoldt
    Date: 1991
    Source: AI Applications. 5(4): 3-16.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (157 KB)

    Description

    Qualitative modelling can help us understand and project effects of multiple stresses on trees. It is not practical to collect and correlate empirical data for all combinations of plant/environments and human/climate stresses, especially for mature trees in natural settings. Therefore, a mechanistic model was developed to describe ecophysiological processes. This model is qualitative and incorporates symbolic descriptions of important variables and their relationships. Fuzzy values, such as ãzero,ä ãlow,ä ãmoderate,ä etc., are used to express quantity and change in the model. A current application of this fuzzy variable model examines the interaction of drought and ozone stresses on a mature ponderosa pine tree. As new empirical results become available, the model can be modified to include realistic baseline values and specific mathematical relationships.

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    Citation

    Schmoldt, Daniel L. 1991. Simulation of Plant Physiological Process Using Fuzzy Variables. AI Applications. 5(4): 3-16.

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