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NIMBioS Seminar Series

In conjunction with the interdisciplinary activities of the National Institute for Mathematical and Biological Synthesis (NIMBioS), a seminar series on topics in mathematical biology will be hosted at NIMBioS every other Tuesday at 3:30 p.m. (unless otherwise noted) in the Hallam Auditorium, Room 206, Claxton Building, 1122 Volunteer Blvd. Seminar speakers will focus on their research initiatives at the interface of mathematics and many areas of the life sciences. Light refreshments will be served in Room 206 beginning 30 minutes before each talk. Faculty and students from across the UT community are welcome to join us.

A. Peace photo.

Time/Date: Tuesday, September 23, 2014, 3:30 p.m.*
Location: Room 206, Claxton Building, 1122 Volunteer Blvd.
Speaker: Dr. Angela Peace, NIMBioS Postdoctoral Fellow
Topic: Stoichiometric Producer-Grazer Models Incorporating the Effects of Food Quality on Grazer Dynamics
Abstract: There has been important progress in understanding ecological dynamics through the development of the theory of ecological stoichiometry. By considering the balance of multiple chemical elements in ecological interactions, this fast growing theory provides new constraints and mechanisms that can be formulated into mathematical models. Stoichiometric models incorporate the effects of both food quantity and food quality into a single framework that produce rich dynamics. Here we present producer-grazer Lotka-Volterra type models to investigate the growth response of Daphnia to algae of varying phosphorus:carbon ratios. We incorporate the consequences of both phosphorus limitation as well as phosphorus excess on grazer's growth. These modeling efforts provide insight on the effects of varying nutrient content on grazer dynamics and deepen our understanding of the effects of stoichiometry on the mechanisms governing population dynamics and the interactions between trophic levels.

*Join us for refreshments at 3 p.m. in Room 205.

Seminar Flyer (pdf)

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A. Peace.

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NSF logo. NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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