Title page for ETD etd-10102005-131549


Type of Document Dissertation
Author Liu, Jiping
URN etd-10102005-131549
Title Modelling inter- and intra-specific competition effects in loblolly pine (Pinus taeda L.) plantations
Degree PhD
Department Forestry
Advisory Committee
Advisor Name Title
Burkhart, Harold E. Committee Chair
Buhyoff, Gregory J. Committee Member
Gregoire, Timothy G. Committee Member
Reynolds, Marion R. Jr. Committee Member
Zedaker, Sheperd M. Committee Member
Keywords
  • Tree farms Mathematical models
  • Loblolly pine Ecology Mathematical models
  • Plant competition Mathematical models
Date of Defense 1992-04-05
Availability restricted
Abstract

Accounting for competition effects is an essential step in building any stand growth simulator. However, accurate modelling of competition effects depends upon a clear understanding of quantitative relationships of various aspects of stand dynamics, including distributional parameters and spatial statistics. This study addressed four aspects of competition effects: 1) competition effects on distributional parameter dynamics of tree size variables; 2) inter-specific (loblolly pine vs. hardwood) and intra-specific competition effects on basal area growth, 3) dynamics of spatial statistical characteristics of DBH and total height, and their relevance to intertree competition, 4) and spatial properties of competition measures by available stand simulators for loblolly pine (Pinus taeda L.) plantations. Competition was found to affect the distribution parameters such as coefficient of variation, skewness, and the general shapes of distributions for diameter measurements, total height, crown width and crown height. Competition expedites size differentiation and thereby increases distribution variability for all variables except crown height. Intertree competition also drives skewness of these variables negative, although the distributions of crown heights tends to be more symmetric. Normality assumption generally holds for diameter measurement, but distributions of total height and crown width deviate from, and those of crown height approach, normality with intensified competition. A set of competition driven equations was developed for the distribution parameters and was validated. The differences of distribution parameters among the variables studied could be attributed to their biological meanings.

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