Optimal foraging theory predicts that animals maximize net energy gained per unit time by balancing search, handling, and travel costs.

Optimal foraging theory predicts that animals maximize net energy gained per unit time by balancing search, handling, and travel costs.

• A. Optimal foraging theory predicts that animals maximize net energy gained per unit time by balancing search, handling, and travel costs.
• B. Animals always maximize the number of prey items regardless of energy.
• C. Foraging is random and not influenced by energy costs.
• D. Foraging decisions are driven solely by social cues.

Answer: (A)

Optimal foraging theory predicts that animals maximize net energy gained per unit time by balancing search, handling, and travel costs. In practice, this means foragers choose prey and patches based on profitability—the energy gained minus the energy spent, divided by the time required to find and process the prey. When a prey item offers a high energy payoff with manageable handling time, it yields a high rate of energy gain; long search or travel times can reduce that rate, making other options more favorable. So the strategy is about energy-rate optimization, not simply eating as many items as possible, nor foraging randomly or guided only by social cues.

Optimal foraging theory predicts that animals maximize net energy gained per unit time by balancing search, handling, and travel costs. In practice, this means foragers choose prey and patches based on profitability—the energy gained minus the energy spent, divided by the time required to find and process the prey. When a prey item offers a high energy payoff with manageable handling time, it yields a high rate of energy gain; long search or travel times can reduce that rate, making other options more favorable. So the strategy is about energy-rate optimization, not simply eating as many items as possible, nor foraging randomly or guided only by social cues.