Model 1 – Honeybee Foraging
This model simulates foraging behavior of honeybees. It is designed to illustrate Charnov’s (1976) Marginal Value Theorem, which predicts how long an animal should forage in a given patch. The user can modify environmental conditions and the time-per-flower for two different bees. The model reports total nectar collected and the rate of nectar collection.
Model 2 – Vigilance Behavior
Many animals are at risk of being eaten by other animals. Such an animal must balance food intake with predation risk. These models simulate Pulliam’s (1973) vigilance model, which suggests that feeding in flocks is advantageous.
Collective – Foraging juncos can be attacked by a Cooper’s Hawk. Foraging rate and duration can be adjusted.
Individual- This models adds the capability of adjusting and individual bird’s behavior relative to the rest of the flock.
As the name suggests, this model simulates the foraging behavior of two predator species. Predators forage and gain energy from prey while using energy to move. The model tracks the mean and standard deviation in energy for each species. Prey can be clumped, uniformly or randomly distributed, static, slow, or fast moving. Each predator can have two foraging strategies based on energy levels. Their foraging parameters include: movement likelihood, speed, and directional shifts. The predator’s threshold for shifting strategies is also adjustable.