Graduation Year

2025

Document Type

Thesis

Degree

M.S.

Degree Name

Master of Science (M.S.)

Degree Granting Department

Biology (Integrative Biology)

Major Professor

Deby L. Cassill, Ph.D.

Committee Member

Justin R. Perrault, Ph.D.

Committee Member

J. Sean Doody, Ph.D.

Committee Member

Brian Maitner, Ph.D.

Keywords

Adaptive management, Environmental predictors, Long-term monitoring, Phenological modeling, Reproductive timing, Sea turtles

Abstract

Climate change is altering environmental conditions worldwide, affecting the timing and success of critical life-history events in many species. The timing of leatherback sea turtle (Dermochelys coriacea) nesting behavior is closely linked to seasonal and local environmental conditions, yet multi-decadal shifts in nesting phenology associated with climate change remain poorly understood. Using long-term leatherback nesting and saturation tagging data (2000––2025), I first examined patterns in emergence dates, emergence times per night, and the number of nesting leatherbacks per night over this 26-year period. Moreover, I examined the impact of environmental covariates including day length, water temperature, precipitation, wind speed, barometric pressure, tide height, moon phase, and El Niño Southern Oscillation (ENSO) state on date of emergence, time of emergence, and number of leatherback sea turtles emerging per night. I show that first and median emergence dates of leatherbacks nesting in central and eastern Florida have advanced significantly over 26 years by -1.13 and -0.46 days per year respectively, while last emergence dates have remained stable. Predictors of date of first nest included day length, water temperature, precipitation, wind speed, and barometric pressure. Time of emergence per night was influenced by warmer waters and higher predicted tides, which were associated with later emergence. By revealing how environmental factors shape leatherback nesting behavior, these results allow for better prediction of nest timing, incubation temperatures, and future phenological shifts. Understanding these patterns is essential for assessing the potential impacts of climate change on leatherback populations and guiding adaptive management and conservation efforts.

Included in

Biology Commons

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