Process models as tools in forestry research and management

  • Authors: Johnsen, Kurt; Samuelson, Lisa; Teskey, Robert; McNulty, Steve; Fox, Tom
  • Publication Year: 2001
  • Publication Series: Miscellaneous Publication
  • Source: Forest Science. 47(1): 2-8.

Abstract

Forest process models are mathematical representations of biological systems that incorporate our understanding of physiological and ecological mechanisms into predictive algorithms. These models were originally designed and used for research purposes, but are being developed for use in practical forest management. Process models designed for research typically require complicated and intensive data, whereas models designed for management strive to use simpler and more readily available data and provide predictions useful for forest managers. In this article, we review some different types of process models, examine their requirements and utility in research and forest management, and discuss research priority areas that will increase their accuracy and application. We conclude that soil and nutritional limitations are the most difficult model components in predicting growth responses using process models.

  • Citation: Johnsen, Kurt; Samuelson, Lisa; Teskey, Robert; McNulty, Steve; Fox, Tom 2001. Process models as tools in forestry research and management. Forest Science. 47(1): 2-8.
  • Posted Date: April 1, 1980
  • Modified Date: April 26, 2007
  • Print Publications Are No Longer Available

    In an ongoing effort to be fiscally responsible, the Southern Research Station (SRS) will no longer produce and distribute hard copies of our publications. Many SRS publications are available at cost via the Government Printing Office (GPO). Electronic versions of publications may be downloaded, printed, and distributed.

    Publication Notes

    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
    • Our online publications are scanned and captured using Adobe Acrobat. During the capture process some typographical errors may occur. Please contact the SRS webmaster if you notice any errors which make this publication unusable.
    • To view this article, download the latest version of Adobe Acrobat Reader.