Individual-based modelling and ecology

Individual-based modelling of biofilms.

Understanding the emergence of the complex organization of biofilms from the interactions of its parts, individual cells and their environment, is the aim of the individual-based modelling (IbM) approach. This IbM is version 2 of BacSim, a model of Escherichia coli colony growth, which was developed into a two-dimensional multi-substrate, multi-species model of nitrifying biofilms. It was compa...

Unifying ecology and macroevolution with individual-based theory

A contemporary goal in both ecology and evolutionary biology is to develop theory that transcends the boundary between the two disciplines, to understand phenomena that cannot be explained by either field in isolation. This is challenging because macroevolution typically uses lineage-based models, whereas ecology often focuses on individual organisms. Here, we develop a new parsimonious individ...

INFORMATION CRITERIA AND APPROXIMATE BAYESIAN COMPUTING FOR AGENT-BASED MODELLING IN ECOLOGY New tools to infer on Individual-level processes

Controlling chaos in ecology: from deterministic to individual-based models.

The possibility of chaos control in biological systems has been stimulated by recent advances in the study of heart and brain tissue dynamics. More recently, some authors have conjectured that such a method might be applied to population dynamics and even play a nontrivial evolutionary role in ecology. In this paper we explore this idea by means of both mathematical and individual-based simulat...

Individual Based Model with Competition in Spatial Ecology

We analyze an interacting particle system with a Markov evolution of birth-anddeath type. We have shown that a local competition mechanism (realized via a density dependent mortality) leads to a globally regular behavior of the population in course of the stochastic evolution.