[Simulation of the macro-evolutionary process on computers]

Area of Science:

• Evolutionary biology
• Computational modeling

Context:

• Understanding evolutionary dynamics is crucial.
• Previous models may not fully capture complex interactions.

Purpose:

• To investigate the peculiarities and dynamics of evolutionary tree growth.
• To analyze the impact of population interactions on evolutionary patterns.

Summary:

• A FORTRAN-based model simulates evolutionary tree dynamics based on population interactions.
• Results show extreme dependence on competition parameters.
• Incomplete character data can lead to inaccurate evolutionary trees.

Impact:

• Highlights the sensitivity of evolutionary processes to competition.
• Underscores the importance of comprehensive data for accurate phylogenetic reconstruction.
• Demonstrates the utility of quantitative, Darwinian-based models for describing evolutionary phenomena.