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.

Question

Quizplus · Accepted Answer

Dynamic state-variable models are designed to account for the internal state of the feeding animal, including its energy reserves, nutritional status, and other internal factors that influence its foraging decisions. These models are sophisticated in that they can simulate how an animal's foraging strategy changes based on its internal state, thereby providing a more nuanced understanding of foraging behavior.

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