Evolve III: a discrete events model of an evolutionary ecosystem

Area of Science:

• Evolutionary biology
• Computational modeling
• Ecosystem dynamics

Background:

• Understanding the relationship between environmental variability and population adaptability is crucial for evolutionary biology.
• Previous research has utilized laboratory microcosms to study these dynamics.
• A need exists for predictive models to simulate evolutionary ecosystem responses.

Purpose of the Study:

• To introduce Evolve III, a discrete event model of an evolutionary ecosystem.
• To investigate the relationship between population adaptability and environmental variability using the Evolve III model.
• To test the predictive value of the model by comparing its outputs to empirical data.

Main Methods:

• Developed Evolve III, a multi-level discrete event model (population, organism, genetic structure).
• Modeled components independently to allow for subsystem replacement and hypothesis testing.
• Conducted simulation experiments varying environmental conditions (constant vs. variable) and developmental stages.

Main Results:

• Populations adapted to constant environments initially performed worse in variable environments compared to those adapted to variable environments.
• At later developmental stages, populations adapted to constant environments showed improved performance in variable environments.
• Simulation results aligned with findings from laboratory microcosm experiments.

Conclusions:

• The Evolve III model demonstrates potential predictive value for evolutionary ecosystem dynamics.
• Early adaptation strategies can impact long-term adaptability in changing environments.
• The model's modular design facilitates testing alternative hypotheses in evolutionary biology.