Agent-based modelling predicts polar bears behavior

Recently, I’ve been using agent-based modelling to forecast the effects of climate change on animals. Agent-based modelling is a technique from the field of complexity science that uses digital agents to represent individual animals. I programmed digital polar bear agents, and digital eider agents and allowed them to interact on a simulated Arctic environment for 50 years. I found that polar bear predation of eider nests increased as sea ice declined. However, polar bears still became skinnier over time, despite eating more and more eggs! This research was recently published in the journal¬†Global Change Biology – check out the article in my publications section.