Skip to main content

A Study of Site Index for Planted Slash Pine

Buy Article:

$29.50 plus tax (Refund Policy)


To examine several of the assumptions on which the procedure for predicting height growth in relation to age is based, stem analyses of five trees in each of ten 25-year-old slash pine plantations in Chester-field County, South Carolina, were studied. The analyses indicated that the relationship of the logarithm of height and the reciprocal of age is essentially linear between ages 10 and 25. Analysis of all stands showed no correlation between the height reciprocal of age relationships and actual site indices. There was room for speculation, however, concerning bias; dropping one plantation from the computation caused a high degree of correlation between actual site index and the slope of the height and age regression.

Document Type: Journal Article

Affiliations: Associate Professor, School of Forestry, University of Georgia

Publication date: July 1, 1967

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
  • Membership Information
  • ingentaconnect is not responsible for the content or availability of external websites

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
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