Date of Award

8-2025

Degree Type

Thesis

Degree Name

Master of Science - Forestry

Department

Forestry

First Advisor

Dr. Jeremy Stovall

Second Advisor

Dr. Matthew McBroom

Third Advisor

Dr. Yuhui Weng

Fourth Advisor

Dr. Yanli Zhang

Abstract

Trees assist in stormwater retention basin functionality as efficient sources of water removal, and determining stand structure and leaf area of forests can be a measure of their effectiveness. The structure of forest stands on these basins managed for runoff mitigation has received little attention. We investigated the structure and species composition/diversity (tree and herbaceous) of planted, managed stands and naturally regenerated stands on stormwater retention basins managed by Harris County Flood Control District in Harris County, Texas. We determined stand structure variables (trees per hectare, basal area per hectare, quadratic mean diameter, relative density, average tree height, and percent canopy coverage) as they relate to leaf area index (LAI) and stand age. Simple linear regressions were used to determine relationships for: structure variables with LAI, structure variables with age, hemispheric canopy photography/LI-COR LAI-2200c measurements, and dormant/growing season LAI. Positive, increasing relationships (p< 0.05) were found for: LAI with structure variables, dormant/growing season LAI, and hemi photography/LAI-2200c measurements. No relationship was found between structure variables and age. Two-way t-tests and PERMANOVAs showed significant differences (p< 0.05) between the planted and unplanted area stands for: structural variables and LAI (except dormant LAI, hemi photography LAI, and relative density), species composition (tree and herbaceous), and tree species abundance. Overall, our results for the structure variable with LAI relationships and species composition/diversity were in line with studies on other forest stands regarding the effects of management regimes and stand dynamics (density, disturbance, and light competition) on stand structure and composition.

Creative Commons License

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

Share

COinS

Tell us how this article helped you.

 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.