Date of Award
Summer 2024
Document Type
Thesis
Degree Name
Master of Science (MS) in Biology
Department
Biology
Committee Chair
Tenzing Ingty
Abstract
The southeastern United States is a critical biodiversity hotspot once covered in prairie grassland ecosystems and now facing significant threats due to urbanization, habitat destruction, over-exploitation, biological invasions, pollution, and climate change. This study analyzes the response of Alabama’s native prairie ecosystem to climate change. We used open top chambers (OTCs) to simulate climate change-induced warming. We assessed the response of ecosystem function and structure to higher temperatures (1-3oC). The indicators of ecosystem function included phenology, leaf surface area (LSA), specific leaf area (SLA), and aboveground and below net primary productivity (ANPP and BNPP respectively). Ecosystem structure was evaluated based on species diversity and composition. Our results showed ecosystem function in the OTC was significantly lower based on LSA, SLA, and leaf biomass. Although not statistically significant, ANPP and BNPP were also higher in control plots. We documented altered phenology in several species including early flowering and increase in the length of the growing season. We also documented decreased species diversity in the OTCs and the inability of some species to establish under the warmer conditions. Our results exemplify the negative effects of climate change on native prairie vegetation. Reduced ecosystem function has cascading impacts and will threaten food resources for other species, especially at higher trophic levels, thus putting at risk our already vulnerable prairie ecosystems. Moreover, a decline in healthy plants in an ecosystem will also alter ecosystem services like carbon sequestration, soil stabilization, and water cycle regulation. Changes in ecosystem services and biodiversity will also directly affect our food security.
Included in
Environmental Education Commons, Environmental Health and Protection Commons, Environmental Indicators and Impact Assessment Commons, Environmental Monitoring Commons