{"id":401,"date":"2025-03-21T21:50:49","date_gmt":"2025-03-21T21:50:49","guid":{"rendered":"https:\/\/coeng.uaa.alaska.edu\/AI\/?page_id=401"},"modified":"2025-03-25T22:55:02","modified_gmt":"2025-03-25T22:55:02","slug":"raise-modeling-killer-whales","status":"publish","type":"page","link":"https:\/\/coeng.uaa.alaska.edu\/AI\/raise-modeling-killer-whales\/","title":{"rendered":"RAISE – Modeling killer whales"},"content":{"rendered":"
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\nUAA College of Engineering\n<\/div>

\nAgent-based modeling of killer whales and their prey\n<\/h1>
\nA collaborative project led by: Ward Testa, Kenrick Mock, Cameron Taylor, Heather Koyuk, Jessica Coyle, Russell Waggoner\n<\/div>\n<\/div>
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\"UAA<\/div>\n<\/section>
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\n \n \n\t\n\n\n\n\"Agent-based\n<\/div>
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\nAgent-Based Modeling of Marine Predator-Prey Dynamics: Insights Into Killer Whale Ecosystems\n<\/h1>
\nBridging Ecological Complexity Through Computational Simulation\n<\/div>\n<\/div><\/div><\/div>\n<\/section>
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\nThis research project investigates the role of transient killer whales in Alaska's marine ecosystem dynamics, particularly their impact on declining prey populations. By developing an agent-based model (ABM) that surpasses classical predator-prey frameworks, we reveal intricate ecological relationships obscured by traditional differential equation approaches

The model was calibrated with single-prey scenarios and then extended to multi-prey scenarios, revealing complex dynamics and long time lags that may reveal clues about existing killer whale populations.

The project challenges classical Lotka-Volterra predator-prey models by incorporating: