Author

Shaelyn Deal

Date of Award

2025

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Atmospheric and Earth Science

Committee Chair

Robert Griffin

Committee Member

John Christy

Research Advisor

Lee Ellenburg

Subject(s)

Cave ecology--Alabama, Karst hydrology, Drought forecasting, Ecological disturbances

Abstract

Cave ecosystems depend on stable groundwater inputs, yet no standard method exists for detecting subterranean drought. This study develops a framework to define and monitor drought in karst cave systems by adapting surface-based hydrologic indicators. Using long-term water level data from Bobcat Cave in northern Alabama, we identified drought events through percentile-based thresholds and evaluated multiple surface metrics, including the Standardized Precipitation Index (SPI) and deep-layer soil moisture, as predictors of cave drought severity. Random Forest models supported the selection of key indicators and informed classification thresholds. These thresholds were then applied across the Middle Tennessee Elk watershed to map seasonal drought exposure and intersect with species-specific breeding periods. Vulnerability analyses highlighted potential ecological risks to taxa such as the Alabama Cave Shrimp and Southern Cavefish. This work establishes a transferable approach for identifying subterranean drought and supports conservation planning in sensitive karst environments.

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