Master of Sciences, Case Western Reserve University, 2022, Biology
Matrix population models are a prevalent and useful tool for modeling populations in
ecology. Stochasticity, meanwhile, is used in ecological modeling to reflect the natural
variability in any population's environment and demographic rates. In this thesis, I explore
the role of stochasticity, or randomness, in ecological matrix models. Firstly, I use a
Leslie-style matrix model to explore how variation in the carrying capacity of generalist
avian predators suggests a mechanism by which developmentally synchronized cohorts of
periodical cicadas, called “broods", overcome competitive exclusion by their parent brood,
and thereby synchronize mass emergence in a different year. Then, I derive a method
to analyze which sources of process noise contribute most strongly to state covariance
in matrix models. We thus provide a method complementary to the population viability
analysis that may help to reduce stochastic extinction risk, and apply the method to a
species of conservation concern, the desert tortoise.
Committee: Karen Abbott (Advisor); David Gurarie (Committee Member); Peter Thomas (Committee Member); Gabriella Wolff (Committee Chair)
Subjects: Applied Mathematics; Biology; Ecology