Dynamic State-Variable Models Are a Much More Sophisticated Way to Capture

Multiple Choice

Dynamic state-variable models are a much more sophisticated way to capture the complexity of real-life foraging and are directed primarily at variations in

A) behaviors associated with predator avoidance.
B) the feeder's level of risk sensitivity.
C) the internal state of the feeding animal.
D) the presence of competitors at the feeding site.