Document Type

Thesis

Degree

Master of Science (MS)

Major/Program

Biology

First Advisor's Name

Todd Crowl

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Daniel Gann

Second Advisor's Committee Title

Committee member

Third Advisor's Name

Michael Ross

Third Advisor's Committee Title

Committee member

Keywords

fire resilience, climate change, remote sensing, landsat, machine learning, Florida Everglades, pinelands, hammocks, normalized difference vegetation index, spectroscopy

Date of Defense

5-15-2023

Abstract

In fire dependent ecosystems, regular disturbance by fire is critical for maintaining diversity, ecosystem function, and landscape resilience. Changes in management have altered the way ecosystems respond to fire, and climate change is predicted to complicate future fire regimes. An assessment of ecosystem response to different fire regimes is necessary to understand the capacity of ecosystems to cope with regime change. This research determined how fire history influences post-fire vegetation recovery time in Everglades upland ecosystems. Leveraging fire history data, satellite imagery, and long-term climate data, I provided a landscape-scale assessment of recovery under varying fire history scenarios and climatic conditions. I found that recovery time varied with time since fire and total fires, though droughts and extreme precipitation had little influence on recovery time. This research provides a framework for studying recovery in southeastern ecosystems where fire management is critical for ecosystem function and resilience.

Identifier

FIDC011144

ORCID

https://orcid.org/0000-0003-3960-4840

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