Predicting ecological dynamics in fluctuating environments
Tuesday, June 15 at 09:30am (PDT)Tuesday, June 15 at 05:30pm (BST)Wednesday, June 16 01:30am (KST)
Anna Miller (Department of Integrated Mathematical Oncology, Moffitt Cancer Center, United States), Nancy Huntly (Ecology Center and Department of Biology, Utah State University, United States)
Most living organisms, from bacteria to animals, experience temporal fluctuations in their environment. For example, bacteria may face fluctuating periods of antibiotic exposure, or animals experience variations in temperature and resources. To survive through stressful environments, organisms have evolved strategies such as phenotypic plasticity for predictable fluctuations, or bet-hedging for unpredictable fluctuations. Furthermore, temporal variability in resources or treatment can promote coexistence between species or strains that did not occur in constant environments through mechanisms including the storage effect and relative nonlinearity. Mathematical modeling is a useful framework to study how the rate of fluctuations impacts the dynamics of heterogeneous populations, which is useful for a variety of applications including predicting changes to biodiversity due to climate change, or response of coexisting populations of sensitive and resistant cancer cells to treatment. In this minisymposium, we aim to bring together researchers that use both theoretical and experimental approaches in a variety of ecosystems to share ideas centered around the common theme of species evolution and coexistence in fluctuating environments.