Food chain simulator

Food Chain Simulation is an expanded ecological model built on top of a classic predator–prey framework. It recreates a living micro-ecosystem filled with multiple animal species, plant growth, weather effects, disease and hunger systems. The goal of the project was to transform a simple biology simulation into a complex, multi-layered environment where animals behave with realistic constraints such as fighting for survival, competing for food, reproducing, and responding dynamically to weather and time of day.

Behind the Build:

Java

Java

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Food Chain Simulation is a dynamic ecosystem model featuring predators, prey, and plant life interacting in real time. Animals experience hunger, disease, reproduction, and unique day–night behaviour, making the simulation feel alive and unpredictable. Weather affects visibility and plant growth, shaping how each species survives across changing conditions. The result is an emergent, self-balancing world where population cycles, collapses, and recoveries play out naturally.

Food Chain Simulation is a dynamic ecosystem model featuring predators, prey, and plant life interacting in real time. Animals experience hunger, disease, reproduction, and unique day–night behaviour, making the simulation feel alive and unpredictable. Weather affects visibility and plant growth, shaping how each species survives across changing conditions. The result is an emergent, self-balancing world where population cycles, collapses, and recoveries play out naturally.

Food Chain Simulation is a dynamic ecosystem model featuring predators, prey, and plant life interacting in real time. Animals experience hunger, disease, reproduction, and unique day–night behaviour, making the simulation feel alive and unpredictable. Weather affects visibility and plant growth, shaping how each species survives across changing conditions. The result is an emergent, self-balancing world where population cycles, collapses, and recoveries play out naturally.

Next work

Dorsia Days

Dorsia Days

Dorsia Days