Chasing and escaping by three groups of species

Area of Science:

• Ecological modeling
• Population dynamics
• Agent-based modeling

Background:

• Understanding interspecies interactions is crucial for predicting population dynamics.
• Group behaviors, such as chasing and escaping, can significantly influence species survival.
• Previous models often simplify interactions, necessitating more complex simulations.

Purpose of the Study:

• To investigate the impact of group chasing and escaping dynamics on three interacting species.
• To analyze how different movement strategies affect species population stability and extinction.
• To conserve total particle numbers while exploring species ratio variations.

Main Methods:

• Simulating a three-species model with distinct roles: chasers, targets, and a third species interacting with both.
• Implementing a rule where captured targets become new chasers, altering population ratios.
• Comparing two movement strategies: random movement versus directed movement (escaping nearest chaser, chasing nearest target).

Main Results:

• Random movement resulted in periodic population fluctuations but no species extinction.
• Directed movement led to a cascading extinction event, with one species ultimately surviving.
• Total particle numbers remained constant across all simulations.

Conclusions:

• Species interaction rules, particularly directed predator-prey dynamics, are critical determinants of ecological stability.
• Complex group behaviors can drive ecosystems towards a single dominant species.
• Agent-based modeling provides insights into emergent properties of ecological systems.