Skip to Main Content
System identification principles in studies of forest dynamics.Author(s): Rolfe A. Leary
Source: Research Paper NC-45. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Publication Series: Research Paper (RP)
Station: North Central Research Station
PDF: View PDF (8.32 MB)
DescriptionShows how it is possible to obtain governing equation parameter estimates on the basis of observed system states. The approach used represents a constructive alternative to regression techniques for models expressed as differential equations. This approach allows scientists to more completely quantify knowledge of forest development processes, to express theories in terms of one or more governing differential equations, and to determine unknown numerical constants in the governing equations.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- 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.
CitationLeary, Rolfe A. 1970. System identification principles in studies of forest dynamics. Research Paper NC-45. St. Paul, MN: U.S. Dept. of Agriculture, Forest Service, North Central Forest Experiment Station
Keywordsforest dynamics, system identification
- Gene expression polymorphisms and ESTs associated with gravitropic response of subterranean branch meristems and growth habit in Leymus wildryes
- Simple, Flexible, Trigonometric Taper Equations
- Transcriptome characterization and detection of gene expression differences in aspen (Populus tremuloides)
XML: View XML