You are here: Home
/ Publication Information
Title: Process models as tools in forestry research and management
Author: Johnsen, Kurt; Samuelson, Lisa; Teskey, Robert; McNulty, Steve; Fox, Tom
Source: Forest Science. 47(1): 2-8.
Publication Series: Miscellaneous Publication
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.
- 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.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication. (Please specify exactly
which publication you are requesting and your mailing address.)
XML: View XML
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.
Get the latest version of the Adobe Acrobat reader or Acrobat Reader for Windows with Search and Accessibility