An aspen bark factor equation for Michigan

A multiple linear regression equation was developed to predict bark factor for aspen in Michigan as a function of tree height. Bark factors for bigtooth aspen were, in general, somewhat larger than bark factors for trembling aspen. Even though equations were developed for both species, the differenc...

Full description

Saved in:
Bibliographic Details
Published inNorthern journal of applied forestry Vol. 8
Main Author Fowler G.W
Format Journal Article
LanguageEnglish
Published 01.03.1991
Subjects
Online AccessGet more information

Cover

Loading…
More Information
Summary:A multiple linear regression equation was developed to predict bark factor for aspen in Michigan as a function of tree height. Bark factors for bigtooth aspen were, in general, somewhat larger than bark factors for trembling aspen. Even though equations were developed for both species, the differences between the two equations were small, and not statistically significant, and a pooled equation based on both species is recommended. The pooled prediction equation yielded average relative errors from -2.3 to 0.87% and -1.02 to 3.83% at all tree heights for bigtooth and trembling aspen, respectively. For more accurate predictions of bark factor, the separate prediction equations for bigtooth and trembling aspen should be used. The new equations can be used to more accurately estimate tree and log wood volumes than when using a constant bark factor determined at breast height, which, in general, leads to underestimates of wood volumes.
Bibliography:K
K10
ISSN:0742-6348
1938-3762
DOI:10.1093/njaf/8.1.12