Observe the classic Lotka-Volterra cycle. See how predator and prey populations oscillate endlessly in a delayed dance of survival.
Unlike a draining bank account or a virus that burns out, biological systems often find a dynamic equilibrium. The foxes need the rabbits to survive, but if they eat too many, the fox population will starve, allowing the rabbits to bounce back.
This creates a beautifully stable, continuous wave over time.
Capable of exponential growth, but capped by an environmental carrying capacity and hungry predators.
Relies entirely on the rabbit population for growth. If the food runs out, they decay exponentially.
Variables like 'Handling Time' prevent unrealistic feeding frenzies, keeping the ecosystem grounded.
Try this: Lower the
Fox_Efficiencyconverter. Watch what happens to the height of the rabbit population peaks when foxes require more food to reproduce.Try this: Adjust the
Rabbit_Carrying_Capacity. Notice how a hard ceiling on food limits the entire system's potential scale.
Biological systems are fascinating, but they sit inside much larger environmental systems.
Let's scale up from a local forest to the global atmosphere to see how massive feedback loops try to stabilize our planet.