Different Strokes for Different Folks: The Evolution of the Distribution of Traits within Heterogeneous Populations
Most population models assume that individuals within a given population are identical, that is, they ignore the fundamental role of variation. By understanding the dynamics within heterogeneous populations, we can more accurately predict population growth and composition. Using computational and analytical techniques, we consider Malthus, logistic and Allee growth models with several different initial parameter distributions. Our results highlight the importance of local dynamics on genetic diversity and, consequently, the role of natural selection on the evolution of traits.
Kara Cunningham, California State University, Bakersfield
Paul Hurtado, University of Southern Colorado
Heather Watson, Claremont McKenna College
Project supervisor: Georgy Karev, Georgia Technical Institute