Skip to main content

Determining Stocking, Forest Type, and Stand-Size Class From Forest Inventory Data

Buy Article:

$21.50 plus tax (Refund Policy)

This paper describes the procedures used by North Central Forest Experiment Station's Forest Inventory and Analysis Work Unit (NCFIA) in determining stocking, forest type, and stand-size class. The stocking procedure assigns a portion of the stocking to individual trees measured on NCFIA 10-point field plots. Stand size and forest type are determined as functions of the stocking, size, and species of these trees and the physiographic classification of the site. One stand-size classification algorithm used in all states inventoried by NCFIA is described. Three separate forest type classification algorithms used in the Lake States (MI, MN, and WI), Plains States (KS, NE, ND, and SD) and Central States (IA, IL, IN, and MO) are presented. North. J. Appl. For. 9(3):82-89.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Document Type: Journal Article

Affiliations: USDA Forest Service, North Central Forest Experiment Station, 1992 Folwell Ave., St. Paul, MN 55108-1099

Publication date: 1992-09-01

More about this publication?
  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    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