The two main challenges of ecological modelling are to yield more general understanding
and theory and to provide testable and robust predictions. To achieve this, emergence …

Minimal mathematical models able to explain complex patterns of animal behavior are
essential parts of simulation systems describing large-scale spatiotemporal dynamics of …

Swarm behavior using Boids-like models has been studied primarily using close-proximity
spatial sensory information (eg, vision range). In this study, we propose a novel approach in …

Collective movements are found in several taxa and many different scales. Locusts and
grasshoppers are known for their formation of groups and collective movement. These …

The study of eco‐evolutionary dynamics, that is of the intertwinning between ecological and
evolutionary processes when they occur at comparable time scales, is of growing interest in …

This paper presents the Agent-Based Modelling System of spatial distribution of species
SDSim. SDSim is an agent-based modelling system designed to simulate spatial distribution …

Upstream migration of fish schools in 1-D rivers as an optimal control problem is formulated
where their swimming velocity and the horizontal oblateness are taken as control variables …

Agent-based models (ABMs) have been widely applied in several fields such as ecology,
biology, climate changes, engineering and many other fields. In ABMs approach, the …

This dissertation work examines the hydrodynamic interactions that occur in fish schools.
Oscillatory foils and fish-like robots are used as simple models to represent fish in a school …

With the increased uncertainty introduced through climate change and fishing pressure,
having accurate estimates of fish biomass is essential for global ecosystem and economic …