Back to results

Virginia Polytechnic Institute and State University

The spatial autocorrelation of individual tree characteristics in loblolly pine stands

Abstract

dc:description.abstract

Mathematical methods of assessing the spatial autocorrelation associated with individual tree characteristics in forest stands were identified. These measures were used to investigate the spatial autocorrelation of discrete tree characteristics including the species, product, and defect classifications. With the exception of the species classification, none of the discrete tree characteristics examined showed any evidence of significant (α = 0.05) levels of spatial autocorrelation in loblolly pine stands. The significant autocorrelation of the species classification was probably due to past stand history or microsite variability rather than overall stand conditions such as age, density, or percent pine. The relationship between the level of spatial autocorrelation associated with basal area and several descriptive stand characteristics was also examined. No strong relationships were identified but trends were noticed between the autocorrelation measures and measures of stand competition such as basal area and crown competition factor. The measures of spatial association indicate positive autocorrelation between the characteristics of neighboring trees at very low levels of competition with the autocorrelation becoming increasingly negative as competition increases. At extremely high levels of competition, the spatial autocorrelation measures become positive again, reflecting the stagnated condition of the stand. Methods were developed, using the measures of spatial autocorrelation, to assign characteristics 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 the locations and characteristics of its neighbors.

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Forestry
Department dc:contributor.department
Forestry
Grantor dc:publisher
Virginia Polytechnic Institute and State University
Year dc:date.issued
1982

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Reed, David Doss
Chair dc:contributor.committeechair
  • Burkhart, Harold E.
Committee members dc:contributor.committeemember
  • Burger, James A.
  • Burk, Thomas E.
  • Oderwald, Richard
  • Reynolds, Marion R. Jr.

Rights

dc:rights
Statement dc:rights
  • In Copyright
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10919/74640
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/74640

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Reed, David Doss. The spatial autocorrelation of individual tree characteristics in loblolly pine stands. doctoral thesis, Virginia Polytechnic Institute and State University, 1982. http://hdl.handle.net/10919/74640