If you are experiencing problems downloading PDF or HTML fulltext, our helpdesk recommend clearing your browser cache and trying again. If you need help in clearing your cache, please click here . Still need help? Email help@ingentaconnect.com

A Jack Pine Bark Factor Equation for Michigan

$29.50 plus tax (Refund Policy)

Buy Article:

Abstract:

A multiple linear regression equation was developed to predict bark factor for jack pine in Michigan as a function of tree height. The equation was validated on independent data sets. The prediction equation yielded average relative errors from -2.9 to 0.4% for all tree heights above stump height. At stump height the average relative errors varied from -5.3 to -2.3%. The jack pine equation was compared with red pine and aspen bark factor equations. The new equation 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 volume. North. J. Appl. For. 10(2):86-89.

Document Type: Journal Article

Affiliations: School of Natural Resources, The University of Michigan, Ann Arbor, MI 48109-1115

Publication date: June 1, 1993

More about this publication?
  • Each regional journal of applied forestry focuses on research, practice, and techniques targeted to foresters and allied professionals in specific regions of the United States and Canada. The Northern Journal of Applied Forestry covers northeastern, midwestern, and boreal forests in the United States and Canada.
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites
Related content

Tools

Favourites

Share Content

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more