Project

Environmental Drivers of Bald Cypress Knee Density Across a Wetland Landscape

Wetland ecology LiDAR terrain analysis Field sampling ArcGIS Pro Generalized Linear Regression

Abstract

Bald cypress (Taxodium distichum) produces distinctive woody root projections known as “knees,” whose function remains poorly understood. This study investigates how fine-scale topographic and hydrologic variation influences knee density in a bottomland hardwood wetland in western Kentucky.

Field sampling was conducted at 24 plots, recording knee count, stem count, soil moisture, and basic site characteristics. Terrain variables, including elevation, slope, and proximity to ephemeral streams, were derived from a 2-ft resolution LiDAR-based Digital Elevation Model. Generalized linear regression models were used to assess relationships between environmental conditions and knee density.

Soil moisture consistently emerged as the most influential predictor across all models, while stream proximity and slope displayed ecologically meaningful but statistically non-significant trends. The strongest knee densities were observed in saturated, low-relief zones near minor drainage features. These findings suggest that localized hydrologic conditions, particularly surface saturation, play a key role in shaping bald cypress knee distribution. Results can inform future wetland restoration and management strategies by emphasizing the importance of moisture retention and microtopographic complexity.

Project Details

Year Spring 2025
Course BIO 668: Wetland Ecology
Methods Field sampling, soil moisture classification, LiDAR DEM terrain analysis, modeled ephemeral drainage proximity, and generalized linear regression
Study Area Murphy’s Pond / Obion Creek wetland landscape, western Kentucky

Maps and Figures

Study area map for bald cypress knee density project
Study area and sampling regime used to evaluate bald cypress knee density across hydrologic and topographic gradients.
Map of bald cypress knee counts over shaded relief DEM
Sampling points symbolized by knee count and overlaid on shaded relief terrain data to show spatial patterns in knee density.
Scatter plot matrix of bald cypress knee density predictors
Scatter plot matrix showing relationships among knee count, soil moisture, terrain variables, and proximity to ephemeral drainage features.
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