Date of Award

Summer 8-7-2025

Degree Type

Thesis

Degree Name

Master of Science - Forestry

Department

Forestry

First Advisor

Dr. Yuhui Weng

Second Advisor

Dr. Anusha Shrestha

Third Advisor

Mr. ason Grogan

Abstract

The influence of thinning regimes incorporating row thinning on diameter distribution and timber product allocation is of considerable importance in the management of loblolly pine (Pinus taeda) plantations within the Western Gulf Coastal Plain. This study utilized data from a thinning study plots established by the East Texas Pine Plantation Research Project across East Texas and Western Louisiana. A two-parameter Weibull distribution was used to model diameter distributions under varying thinning intensities, with parameter estimation conducted using both parameter prediction (PPM) and percentile-based (PRM) methods. The PRM approach demonstrated excellent model performance, with coefficients of determination (R²) ranging from 0.94 to 0.99 and root mean square error (RMSE) values remaining below 2% of the mean for DBH percentiles. The PPM method yielded high accuracy for the scale parameter (R² = 0.99) but exhibited lower predictive strength for the shape parameter (R² = 0.53). Model validation against both 9th-year post-thinning and independent datasets confirmed strong predictive capability. Thinning intensity significantly altered stand structure and product distribution, with moderate to heavy thinning increasing the proportion of sawtimber and overall financial returns, particularly on higher-quality sites. An analysis of variance revealed statistically significant effects of both site quality and timber product class on revenue outcomes (p < 0.001). These findings highlight the importance of aligning thinning intensity with site productivity to optimize structural and economic outcomes in loblolly pine plantations.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Available for download on Tuesday, August 04, 2026

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