Skip to Main Content
U.S. Forest Service
Caring for the land and serving people

United States Department of Agriculture

Home > Search > Publication Information

  1. Share via EmailShare on FacebookShare on LinkedInShare on Twitter
    Dislike this pubLike this pub
    Author(s): Daniel L. Schmoldt
    Date: 1991
    Source: AI Applications. 5(4): 3-16.
    Publication Series: Miscellaneous Publication
    PDF: View PDF  (157 KB)


    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.

    Publication Notes

    • You may send email to to request a hard copy of this publication.
    • (Please specify exactly which publication you are requesting and your mailing address.)
    • We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.


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

    Related Search

    XML: View XML
Show More
Show Fewer
Jump to Top of Page