Using the past to anticipate the future in human foraging behavior

Area of Science:

• Cognitive Psychology
• Behavioral Ecology
• Decision Science

Background:

• Humans frequently engage in foraging tasks, collecting multiple resources from various locations.
• Optimal foraging theories suggest moving from a resource patch when current intake rate falls below the average.
• Traditional models often assume a fixed average intake rate, predicting minimal influence from preceding patches.

Purpose of the Study:

• To investigate how the history of resource patch quality influences decisions in foraging tasks.
• To test predictions of optimal foraging theories against observed human behavior in a controlled setting.

Main Methods:

• A laboratory analog of a berry-picking task was used to simulate foraging behavior.
• Participants' decisions on how long to stay in a patch were recorded under varying conditions of patch quality.
• Two experiments were conducted: one with systematically varying patch quality and another with randomized quality.

Main Results:

• Participants demonstrated a temporal effect, staying longer in a current patch when immediately preceding patches were of higher quality.
• This behavior contradicts models that predict decisions based solely on the current intake rate relative to a fixed average.
• The effect was more pronounced when patch quality varied systematically compared to when it was randomized.

Conclusions:

• Observed foraging behavior indicates that recent patch history significantly influences decision-making.
• Optimal foraging theories need to incorporate the impact of recent environmental history to accurately predict behavior.
• Human foraging strategies are more dynamic and history-dependent than suggested by simpler optimal foraging models.