ABM: Agent Based Modeling for Predator (protozoa) - Pest (bacteria) systems
Team members: Diana White and Jon Martin (Clarkson Math), Susan Bailey (Clarkson Biology), and Faichal Ayeva (Clarkson Mechanical Engineering undergraduate)
Using the ABM software Netlogo, as well as biological insight from Prof. Susan Bailey's lab (Clarkson), we've set up 2D system to model the dynamics between a system of protozoa and bacteria. Results show similar dynamics commonly found in predator-prey systems (co-existence/steady-state or oscillations, extinction of both populations, or survival of a single species). Current work is being done with Bailey to determine realistic ranges for model parameters (e.g., death rates, birth/replication rates, movement dynamics for the protozoa).
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Initialization of our ABM using Netlogo (open source ABM software).
Different outcomes for the ABM (similar to that of a classical predator-prey model).
Initialization of our ABM using Netlogo (open source ABM software).