Each run starts with a high number of patches (that are “eaten” rapidly) and 50 turtles whose population grows exponentially (to approximately twice the stable value) and sharply decreases until the system stabilizes. At a high “energy-from-grass” setting (100) at a similar time step, the population becomes stable around 5,100 (right image). Using the same baseline settings and a medium “energy-from-grass” setting (50) at a similar time step, the population becomes stable around ~2,500 (middle image). Several model iterations using the baseline conditions and changing the “energy-from-grass” parameter reveal that with low “energy-from-grass” (25) the stabilized system operation population is ~1,300 (left image). The higher this parameter is set the faster the population grows over time meaning the turtles reproduce more often and faster visible in the interface images. The NetLogo model also includes monitors and an automatic rescaling plot to visually depict the interactions.īelow is a short video of the simulation over 750 time-steps (ticks).ġ.) The “energy-from-grass” parameter (adjustable) influences the emergent patterns in the model simulation because the energy a turtle receives from eating is one of the main factors in the rate of reproduction and if turtles continues to eat or dies over time. The procedures include moving, eating, reproduction and death along with the setup and go commands. The model setup parameters are the number of turtles (50), energy from grass (25) and birth energy (25). In this model the grass (patches) are set to regrow. If a turtle runs out of energy, the turtle dies. If a turtle reproduces, the new turtle gets 25 energy that is deducted from the parents energy. Each turtle loses one energy with every step taken across the patches. Turtles move around to find food (patches), can eat, give birth to new turtles or die based on their energy. This model uses commands, variables and procedures to simulate turtles (interacting agents) and grass (patches) interactions. This is a 2-dimensional ecomodel that was built with code using NetLogo. Assignment 1: Exploring NetLogo Description:
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