Impact of Superpredators on Ecosystem Stability

This repository contains the code and resources for analyzing the impact of multitrophic risk introduced by human "superpredators" on tritrophic ecosystems. Using an agent-based modeling approach implemented in Python's Mesa framework, the project investigates how superpredators influence population dynamics, coexistence equilibria, and ecosystem stability.

The study explores three models:

Base Model: A predator-prey system.

Tritrophic Model: A system including apex predators, mesopredators, and prey.

Superpredator Model: A system where apex predators are replaced by superpredators with unique characteristics (e.g., 100% lethality, no reproduction, no mortality).

Simulations were conducted across various parameter combinations to assess the effects of superpredator targets, lethality, and behavioral adaptations.