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): Robert J. Luxmoore; William W. Hargrove; M. Lynn Tharp; W. Mac Post; Michael W. Berry; Karen S. Minser; Wendell P. Cropper; Dale W. Johnson; Boris Zeide; Ralph L. Amateis; Harold E. Burkhart; V. Clark Baldwin; Kelly D. Peterson
    Date: 2002
    Source: Forest Ecology and Management 165 (2002) 295-304
    Publication Series: Miscellaneous Publication
    PDF: Download Publication  (131 KB)


    Management decisions concerning impacts of projected changes in environmental and social conditions on multi-use forest products and services, such as productivity, water supply or carbon sequestration, may be facilitated with signal-transfer modeling. This simulation method utilizes a hierarchy of simulators in which the integrated responses (signals) from smaller- scale process models are transferred and incorporated into the algorithms of larger spatial- and temporal-scale models of ecological and economic phenomena. Several innovative procedures germane to multi-issue sustainable forest management have been initiated in our signal-transfer modeling development for forests of the southeastern United States. These developments include response surface interpolation for multi-factor signal-transfer, use of loblolly pine modeling to infer the growth of other southern pines, determination of soil nutrient limitations to productivity, multivariate clustering as a spatial basis for defining land units relevant to forest management, and variance propagation through the modeling hierarchy. Algorithms for larger scale phenomena are shown to constrain the variance introduced from a smaller-scale in a simulation of ambient ozone exposure effects on loblolly pine timber yield. Outputs of forest variables are frequency distributions that may be statistically compared for alternative environmental or management scenarios.

    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.


    Luxmoore, Robert J.; Hargrove, William W.; Tharp, M. Lynn; Post, W. Mac; Berry, Michael W.; Minser, Karen S.; Cropper, Wendell P., Jr.; Johnson, Dale W.; Zeide, Boris; Amateis, Ralph L.; Burkhart, Harold E.; Baldwin, V. Clark, Jr.; Peterson, Kelly D. 2002. Addressing multi-use issues in sustainable forest management with signal-transfer modeling. Forest Ecology and Management 165 (2002) 295-304


    Environmental change, Monte Carlo simulation, Multivariate clustering, Site index, Spatial and temporal scaling

    Related Search

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