M3.L1.A2 (Rabbits & Grass STARTER base model) REMIX

[To start, push "setup" button and toggle "forever" button on]
A model of an ecosystem with grass, birds, bears, foxes, worms, and rabbits. Two obvious interactions the model shows is competition and predation. Rabbits eat grass, grass receives its energy through sunlight and processes such as photosynthesis, birds eat worms, bears eat foxes, birds, and rabbits, and foxes eat rabbits and birds. This is a classic food web of an ecosystem in an environment such as a forest. Each predator had a energy level- if they receive enough energy they can reproduce and if their energy level becomes too less then they die. The consumers acquire their energy through feeding on their prey. Also, every animal in the ecosystem is susceptible to disease. The transmission rate of this disease can be controlled by using each breed's slider and setting it to a value 0-100 (inclusive) which would signify the percentage chance of the disease spreading and being caught onto by other animals. Also, just like the transmission rate, each breed has a recovery rate, chances of the disease occurring in the first place, and mortality rate which is used and would function the same way (select a value with slider and the values represent the percentage chances). Another separate component to this is how many animals in each breed would start with the disease. There are two other additions to the interface: a "Weather" and "Pollution" toggle button. The "Weather" button when toggled on, adds the chances of two scenarios. Either it could rain in the ecosystem and make the grass grow and populations thrive, or it could flood the ecosystem with negative impacts. The "Pollution" button when toggled on creates the chances of pollution from human activity coming into the ecosystem and damaging the life there. Importantly, there is one last basic part of the interface which is a very advantageous measurement tool, the line graph. This graph measure the population of the species over time and can be used to make deductions and predictions about the ecosystem.

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