Skip to Main Content
Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forest.Author(s): H. Temesgen; V.J. Monleon; D.W. Hann
Source: Canadian Journal of Forest Research. 38: 553-565
Publication Series: Scientific Journal (JRNL)
PDF: View PDF (1.95 MB)
DescriptionUsing an extensive Douglas-fir data set from southwest Oregon, we examined the (I) performance and suitability of selected prediction strategies, (2) contribution of relative position and stand-density measures in improving tree height (h) prediction values, and (3) effect of different subsampling designs to fill in missing h values in a new stand using a regional nonlinear model. Nonlinear mixed-effects models (NMEM) substantially improved the accuracy and precision of height prediction over the conventional nonlinear fixed-effects model (NFEM) that assumes the observations are independent, particularly when a few trees are subsampled for height. The predictive performance of a correction factor on a NFEM with relative position and stand-density measures was comparable to that of a NMEM when four or more trees were subsampled for height. When two or more heights were randomly subsampled, the NMEM efficiently explained the differences in the height4iameter relationship because of the variations in relative position of trees and stand density without having to incorporate them into the model. When only one height was subsampled, selecting the largest diameter tree in the stand would result in a lower predicted root mean square error (RMSE) than randomly selecting the height. regardless of the model form or fitting strategy used.
- 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.)
- 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.
CitationTemesgen, H.; Monleon, V.J.; Hann, D.W. 2008. Analysis and comparison of nonlinear tree height prediction strategies for Douglas-fir forest. Canadian Journal of Forest Research. 38: 553-565
- Effects of height imputation strategies on stand volume estimation
- Estimating Pinus palustris tree diameter and stem volume from tree height, crown area and stand-level parameters
- Estimating tree crown widths for the primary Acadian species in Maine
XML: View XML