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): Steven G. McNulty; Jennifer A. Moore; Louis IversonAnantha Prasad; Robert Abt; Bryan Smith; Ge SunMichael Gavazzi; John Bartlett; Brian Murray; Robert A. Mickler; John D. Aber
    Date: 2000
    Source: World Resource Review Vol. 12 No. 2
    Publication Series: Miscellaneous Publication
    PDF: Download Publication  (602 KB)


    The southern United States produces over 50% of commercial timber harvests in the US and the demand for southern timber are likely to increase in the future. Global change is altering the physical and chemical environmental which will play a major role in determining future forest stand growth, insect and disease outbreaks, regeneration success, and distribution of species across the region. Therefore, it is necessary to better understand the relationships between soils, forest composition, growth, and economic demand to determine whether forests in the Southern US can satisfy future forest resource demands. Integrated models can be a useful tool to understand future timber supply and demand under changing environmental and social conditions. This paper linked DISTRIB, a forest biogeography model; PnET-II, a lumped parameter forest productivity model; and SRTS, a economic model of southern timber markets to attempt to understand the interactions between forest distribution, productivity and economics. As an example of model linkage, we examined the impact that the Hadley-Sul general circulation model predictions of climate change would have on southern US timber supply, harvest and geographic distribution. The results of the linked models demonstrate the inertia of the forest ecosystems and economics to changing environmental conditions. Despite a 3°C increase in mean annual air temperature, regional forest productivity, volume and harvest were not greatly altered. The models did predict shifts in the pine range, and inter-regional changes in forest harvest. Results of the linked models are presented and the need for expanded research on linked dynamic model development to predict future US timber supply and demand are discussed.

    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.


    McNulty, Steven G.; Moore, Jennifer A.; Iverson, Louis; Prasad, Anantha; Abt, Robert; Smith, Bryan; Sun, Ge; Gavazzi, Michael; Bartlett, John; Murray, Brian; Mickler, Robert A.; Aber, John D. 2000. Application of Linked Regional Scale Growth, Biogeography, and Economic Models for Southeastern United States Pine Forests. World Resource Review Vol. 12 No. 2


    Linked dynamic model, biogeography, forest productivity, economics, climate chance

    Related Search

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