Title page for ETD etd-101797-155415

Type of Document Dissertation
Author Dyer, Michael E.
Author's Email Address medyer@westvaco.com
URN etd-101797-155415
Title Dominance/Suppression Competitive Relationships in Loblolly Pine (Pinus taeda L.) Plantations
Degree PhD
Department Forestry
Advisory Committee
Advisor Name Title
Burkhart, Harold E. Committee Chair
Gregoire, Timothy G. Committee Member
Reynolds, Marion R. Jr. Committee Member
Scrivani, John A. Committee Member
Zedaker, Shepard M. Committee Member
  • Relative Growth Rate
  • Resource Depletion
  • Resource Pre-emption
  • Thinning
Date of Defense 1997-11-13
Availability unrestricted
Data from three long-term field studies with loblolly pine (Pinus taeda L.) plantations were used to examine inequality (Gini coefficient) trends in diameter and the relationship between diameter relative growth rate (r) and initial size. Analysis with two spacing studies shows inequality increases with increasing density. For a given initial density, inequality initially decreases and then begins to increase as trees compete for resources. The slope of the linear relationship between r and relative size also increases with increasing density. The slope is initially negative and switches to positive as competition intensifies. The switch in the slope of the r/size relationship occurs when the crown projection area exceeds 1.05 or when the crown ratio falls below 0.75. These results are consistent with the resource pre-emptive or dominance/suppression theory of intra-specific competition. The r/size trends are not evident when calculations are based on class means as opposed to individual trees. The slope of the r/size relationship is a function of stand height, density, and to a lesser extent, site quality. Density reduction through mid-rotation thinning tends to decrease the slope coefficient. The r/size trends are used to develop a disaggregation model to distribute stand-level basal area growth over an initial tree list. This approach compares well with two other disaggregation models but tends to over predict growth on the largest trees.
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  Front.pdf 32.60 Kb 00:00:09 00:00:04 00:00:04 00:00:02 < 00:00:01

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