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  5. Ecological Controls on Successional Patterns in Bloom-Forming Cyanobacteria
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Ecological Controls on Successional Patterns in Bloom-Forming Cyanobacteria

Date Issued
May 1, 2022
Author(s)
Hooker, Kyla L
Advisor(s)
David Talmy
Additional Advisor(s)
David Talmy
Suzanne Lenhart
Steven W. Wilhelm
Christopher Strickland
Stephanie N. Kivlin
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/42722
Abstract

Harmful algal blooms are widespread in lake ecosystems but the ecological factors underlying their formation and maintenance are poorly understood. We revisit classical ecological theories which characterize and evaluate contrasting bottom-up and top-down influences on the selection of phytoplankton groups, such as Microcystis aeruginosa. We begin with a data compilation and analysis of environmental data from Lake Erie. This data analysis of nutrient concentrations, pigment concentrations, and zooplankton biomasses helps us understand and interpret what is happening in the environment throughout the year. Thus, allowing us to build a mathematical model to test our hypothesis. Our mathematical model asses a community in which two producers compete for a resource, which is supplied at a high constant rate and a consumer which can feed on either producer. Raised nutrient input may enhance selective pressure for defensive groups when high cell densities lead to high contact rates between predators and prey. We report work which evaluates whether these idealized predictions hold in more complex models which account for non-equilibrium influences associated with variable resource supply and temperature. Overall, we hypothesize that increases in resource inflow and temperature increase contact rates between predators and prey, shifting selection pressure toward defense against predation, which may be a major reason why Microcystis aeruginosa are selected in hyper-eutrophic lakes.

Disciplines
Environmental Microbiology and Microbial Ecology
Degree
Master of Science
Major
Life Sciences
File(s)
Thumbnail Image
Name

KL.Hooker_thesis.docx

Size

3.31 MB

Format

Microsoft Word XML

Checksum (MD5)

d223c36a1c98bc5af93ced7da75dc46c

Thumbnail Image
Name

auto_convert.pdf

Size

2.12 MB

Format

Adobe PDF

Checksum (MD5)

20e65680edce6e0c63c7ebb4b371ef72


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