Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Environmental Studies

First Advisor's Name

Jennifer Rehage

First Advisor's Committee Title

Committee Co-Chair

Second Advisor's Name

Rolando O. Santos

Second Advisor's Committee Title

Committee Co-Chair

Third Advisor's Name

Elizbeth Anderson

Third Advisor's Committee Title

Committee Member

Fourth Advisor's Name

Micheal Allen

Fourth Advisor's Committee Title

Committee Member

Keywords

Florida Largemouth Bass, Acoustic Telemetry, Boosted Regression Trees, Climate Change, Habitat Suitability, Environmental Conditions

Date of Defense

11-1-2022

Abstract

Numerous species face redistribution and compression of habitat due to climate change. We coupled long-term movement and environmental data to assess how a freshwater species responds to changes in a coastal refuge habitat using Boosted Regression Trees (BRT) to predict distributional changes in the coming decades. Salinity, variation in salinity, and stage of the surrounding marsh habitat were the most important variables in BRT model, accounting for over half (56.6%) of the tree splits informing the final model. Interestingly, the habitat classified as conditional experienced the most variability (5.85 ± 6.2 km2), while core habitat remained relatively consistent (1.29 ± 0.98 km2) across years with varying hydrological conditions. These results suggest that varying environmental scenarios can drastically shift the amount of suitable habitat available for freshwater species using high salinity, conditional habitats at the coast. Climate change will likely result in large-scale reductions of critical dry season habitat for these species; while restoration efforts and adaptive management can bolster the resiliency of these habitats to ensure population persistence.

Identifier

FIDC010948

ORCID

https://orcid.org/0000-0002-4273-4083

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