Testing life-cycle theory by computer simulation--I. Introduction of genetical structure

Area of Science:

• Evolutionary biology
• Theoretical ecology
• Computational modeling

Background:

• Analytical life-cycle theory provides a framework for understanding evolutionary outcomes.
• Previous models often rely on simplifying assumptions about life cycles.
• Constant environments are a common focus for evolutionary studies.

Purpose of the Study:

• To relax assumptions of analytical life-cycle theory using computer simulations.
• To investigate the eventual outcome of evolution in a constant environment.
• To compare simulation results with analytical predictions.

Main Methods:

• Development of detailed computer simulation models.
• Models represent diploid one-locus genetic systems.
• Comparison of simulation outputs with analytical life-cycle theory predictions.

Main Results:

• High agreement between analytical and simulation outcomes was observed.
• Discrepancies occurred in specific cases involving differing male and female life cycles.
• The models successfully relaxed key assumptions of analytical theory.

Conclusions:

• Computer simulations can effectively extend and test evolutionary life-cycle theory.
• The study highlights the importance of sex-specific life-history traits in evolutionary dynamics.
• Simulation results largely corroborate analytical predictions under relaxed assumptions.