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): Thomas J. Mills; Frederick W. Bratten
    Date: 1988
    Source: Res. Pap. PSW-RP-192. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Research Station. 58 p
    Publication Series: Research Paper (RP)
    Station: Pacific Southwest Research Station
    PDF: Download Publication  (3.37 MB)


    Economic efficiency and risk have long been considered during the selection of fire management programs and the design of fire management polices. The risk considerations was largely subjective, however, and efficiency has only recently been calculated for selected portions of the fire management program. The highly stochastic behavior of the fire system and the high degree of interaction among its components make it difficult to model analytically. Without fairly advance quantitative models, estimating the risk and efficiency consequences of fire management alternative was impossible.

    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.


    Mills, Thomas J.; Bratten, Frederick W. 1988. Economic efficiency and risk character of fire management programs, Northern Rocky Mountains. Res. Pap. PSW-RP-192. Albany, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station. 58 p.


    Google Scholar


    cost plus net value change, fire behavior, fuel treatments, initial attack, fire suppression, fire effects, resource values, probability modeling, risk analysis

    Related Search

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