Ecosystem & Evolution Lab: Agent-based Simulation |…

What is an Agent-based Simulation?

An agent-based simulation models the behavior of individual entities, or agents, within a system. In this case, the agents represent plants, herbivores, and predators in an ecosystem. Each agent has its own set of rules governing its actions based on environmental conditions.

These simulations are particularly useful for studying complex systems where emergent behaviors arise from simple interactions between individual components.

Key Components of the Simulation

In this ecosystem simulation, plants, herbivores, and predators interact in a dynamic environment. Each species has unique traits that can be inherited by offspring, allowing for evolution over generations.

Environmental factors such as meteor strikes, fires, and droughts introduce random disturbances that challenge the stability of the ecosystem, illustrating how external forces shape ecological communities.

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Lotka–Volterra Cycles

The Lotka–Volterra equations describe the dynamics between predator and prey populations. In this simulation, you can observe these cycles as herbivore and predator numbers fluctuate in response to each other’s presence.

These oscillations highlight the delicate balance of nature and how even small changes can lead to significant shifts in population sizes.

Evolutionary Pressures

Over time, genetic variations within species can lead to adaptation. In this simulation, you can witness evolution as traits that enhance survival are passed on more frequently, leading to changes in the ecosystem over generations.

This process demonstrates how natural selection acts upon heritable traits to shape the future of a population.

Frequently asked questions

How do environmental disturbances affect the simulation?

Environmental disturbances like meteor strikes, fires, and droughts introduce random events that can drastically alter the ecosystem. These events can lead to temporary or permanent changes in species populations and can trigger evolutionary responses as organisms adapt to new conditions.

What is natural selection in this context?

Natural selection refers to the process by which certain traits become more common in a population because they provide an advantage for survival and reproduction. In the simulation, individuals with beneficial traits are more likely to survive and reproduce, passing those advantageous traits on to their offspring.

Can I change the initial conditions of the ecosystem?

Yes, you can adjust various parameters such as the starting population sizes of different species, the availability of resources, and the frequency of environmental disturbances. These changes allow you to explore how different scenarios might unfold in an ecosystem.

What is the significance of heritable genes in this simulation?

Heritable genes represent the genetic information passed down from parents to offspring. In the context of the simulation, these genes determine traits that can influence survival and reproduction. By allowing for variation in these genes, you can observe how evolution occurs over time as certain traits become more prevalent.

Try it live

Everything above runs in your browser — open Ecosystem & Evolution Lab – Agent-based Simulation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Ecosystem & Evolution Lab – Agent-based Simulation simulation