Skip to main content

An Evaluation of Big Basal Area Factor Sampling in Appalachian Hardwoods

Buy Article:

$29.50 plus tax (Refund Policy)

Big basal area factor (BAF) sampling techniques were investigated in a 70-year-old even-aged hardwood forest in northern West Virginia. Data collection procedures permitted the investigation of several small BAFs when employed with 12 big BAFs ranging from 55 to 300. Mean board foot volume per acre for sawtimber products was investigated along with a comparison of the resultant standard errors. The estimated mean volume per acre was quite stable. The same approximate mean volume per acre was obtained using big BAF values of 55 and 150 but with a 66% reduction in the number of sample trees needed for volume estimation. Sampling error increased with increasing big BAF, especially above values of 150. Sampling error within a single big BAF value was stable across the range of small BAFs sampled.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: Forest inventory; double sampling; variable plot sampling; volume to basal area ratio

Document Type: Research Article

Affiliations: Division of Forestry, West Virginia University, Morgantown, WV 26506-6125.

Publication date: 2006-03-01

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
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect 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