Skip to main content

Spatial Autocorrelation of Individual Tree Characteristics in Loblolly Pine Stands

Buy Article:

$29.50 plus tax (Refund Policy)


Mathematical methods of assessing the levels of spatial autocorrelation in forest stands were identified. These methods were used to investigate spatial autocorrelation associated with tree characteristics such as product, defect, species class, and basal area. With the exception of the species classification, significant levels of spatial autocorrelation were not associated with any discrete variable. For individual tree basal area, the levels of spatial autocorrelation tended to be positive for low levels of competition, negative at intermediate levels of competition, and positive again at high levels of competition. Using measures of spatial autocorrelation, characteristics were assigned to individual trees in computer generated stands. These methods, applicable for discrete or continuous characteristics, assign the characteristics to individual trees depending on the spatial location of the individual tree and characteristics of its neighbors. Forest Sci. 31:575-587.

Keywords: Pinus taeda; competition; simulation; spatial distribution

Document Type: Journal Article

Affiliations: Thomas M. Brooks Professor of Forest Biometrics, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Publication date: September 1, 1985

More about this publication?
  • 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