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Related Experiment Video

Updated: Mar 6, 2026

Foraging Path-length Protocol for Drosophila melanogaster Larvae

Foraging Path-length Protocol for Drosophila melanogaster Larvae

Published on: April 23, 2016

Optimal foraging, plant density and the marginal value theorem.

Michael Zimmerman¹

¹Department of Biology, College of William and Mary, 23185, Williamsburg, Virginia, USA.

|March 18, 2017

Summary

This summary is machine-generated.

Bees did not fully follow the marginal value theorem when foraging. Their flexible behaviors, like short flights and visiting other flower species, suggest current optimal foraging models are too simple.

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A Method for Quantifying Foliage-Dwelling Arthropods

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Area of Science:

Ecology
Behavioral Ecology
Animal Behavior

Background:

The marginal value theorem (MVT) is a foundational concept in optimal foraging theory.
It predicts how foragers should allocate time between patches to maximize energy intake.
MVT suggests increased travel costs should lead to visiting more resources per patch.

Purpose of the Study:

To test the predictions of the stochastic, discrete analogue of the MVT in bee foraging behavior.
To investigate how bees (Bombus flavifrons and B. bifarius) adjust flower visitation rates in response to varying movement costs between Polemonium foliosissimum plants.

Main Methods:

Observational study of two bee populations (Bombus flavifrons, B. bifarius) foraging on Polemonium foliosissimum.
Analysis of bee movement patterns, including flight distances, directionality, and inter-plant choices.
Assessment of flower visitation rates per plant and inter-species flower visitation.

Main Results:

Bee foraging behavior was equivocal and did not strictly align with MVT predictions.
Bees did not consistently increase the percentage of flowers visited per plant as movement costs rose.
Observed behaviors included random flight directions, short flight distances, preference for nearest neighbors, and interspecific flower visitation.

Conclusions:

Observed bee foraging flexibility suggests limitations in current optimal foraging models.
Simple predictions of behavioral shifts based on environmental conditions may be insufficient.
Bees exhibit complex adaptive strategies to maximize energy intake beyond simple MVT predictions.