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Effects of extreme flood events on nutrient and physical drivers of cyanobacteria blooms in Shelburne Pond

Delahunt, Jo
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Abstract
Nutrient drivers of cyanobacteria blooms are well understood, but blooms remain challenging to predict because we do not fully understand how disturbance events interact with these mechanisms in eutrophic lakes such as Shelburne Pond, VT. We sampled biweekly through the summer and fall of 2024 and observed a disturbance event between 7/3 and 7/17. Chemical, physical, and biological samples are being analyzed to understand how that disturbance affected the lake and phytoplankton community relative to predisturbance conditions. Understanding how cyanobacteria react to disturbance aids in better predicting blooms in relation to changing weather patterns and climate extremes.
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Date
2025-01-01
Student Status
Undergraduate
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Poster Presentation
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UVM Student Research Conference
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https://hdl.handle.net/20.500.14849/9108
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Advisor(s)
Ana Morales
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Program/Major
Wildlife and Fisheries Biology
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Rubenstein School of Environmental and Natural Resources
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Life Sciences
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