Individual-Based
Modelling

Agent-based simulation of harbour porpoise population dynamics under offshore noise disturbance. Models individual animal responses to anthropogenic sound, movement displacement, and long-term population-level consequences of marine construction and shipping.

Python implementation of Ecopath with Ecosim for food web modelling, mass-balance analysis, and dynamic ecosystem simulation. Constructs trophic networks from individual functional groups to explore energy flow, predator-prey interactions, and fisheries impacts.

Spatially-explicit individual-based model for simulating population dynamics, movement, and species interactions on hexagonal landscapes. Tracks individual organisms across heterogeneous habitat grids to project population viability under environmental change scenarios.

Individual-based salmonid model for simulating fish population dynamics, habitat selection, and growth in freshwater and marine domain environments. Models how individual fish choose feeding positions, compete for resources, and respond to changing flow and temperature conditions.

Individual-based model for fish community dynamics and trophic interactions. Simulates the full life cycle of multiple interacting species — growth, predation, reproduction, and natural mortality — to explore how fishing pressure and environmental forcing shape marine food webs.