Scholarly
    Communications Project


Document Type:Dissertation
Name:Michael E. Dyer
Email address:medyer@westvaco.com
URN:1997/00390
Title:Dominance/Suppression Competitive Relationships in Loblolly Pine (Pinus taeda L.) Plantations
Degree:Doctor of Philosophy
Department:Forestry
Committee Chair: Harold E. Burkhart
Chair's email:burkhart@vt.edu
Committee Members:Timothy G. Gregoire
Marion R. Reynolds
John A. Scrivani
Shepard M. Zedaker
Keywords:Relative Growth Rate, Resource Depletion, Resource Pre-emption, Thinning
Date of defense:November 13, 1997
Availability:Release the entire work immediately worldwide.

Abstract:

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.

List of Attached Files

Front.pdf back.pdf chap1.pdf
chap2.pdf chap3.pdf chap4.pdf
chap5.pdf chap6.pdf


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