# The Forest Fire Model Revisited

## TL;DR

This paper revisits the forest-fire model of self-organized criticality, showing through simulations that it exhibits behavior similar to rain and brain activity, suggesting relevance to real systems that hover near criticality.

## Contribution

The study demonstrates that the Drossel-Schwable forest-fire model captures key features of systems near criticality, challenging the notion that exact scaling is necessary for relevance.

## Key findings

- Model exhibits behavior similar to rain and brain activity.
- Finite size scaling analysis performed on residence times.
- Model's lack of exact scaling may still be physically relevant.

## Abstract

Since Self-Organised Criticality (SOC) was introduced in the 1987 both the nature of the self-organisation and of the criticality remains controversial. Recent observations on rain precipitation and on brain activity suggest that real systems may dynamically wander about in the vicinity of criticality rather than tune to a critical point. We use computer simulations to study the Drossel-Schwable forest-fire model of SOC and find that it exhibits behaviour similar to that found for rain and brain activity. In particular we analyse the residence time for different densities of trees and perform finite size scaling analysis of the with of the distribution of residence times. We conclude that despite of the long known fact that this model does not exhibit exact scaling and power laws its behaviour may exactly for that be very relevant to real physical systems.