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Trapline foraging by bumble bees: IV. Optimization of route geometry in the absence of competition

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  • Kazuharu Ohashi
  • James D. Thomson
  • Daniel D'Souza

Abstract

Foraging on resources that are fixed in space but that replenish over time, such as floral nectar and pollen, presents animals with the problem of selecting a foraging route. What can flower visitors such as bees do to optimize their foraging routes, that is, reduce return time or route distance? Some repeatedly visit a set of plants in a significantly predictable sequence (so-called "trapline foraging"), which may also enhance their foraging efficiency. A moderate level of optimization and repetition of foraging routes can be reached by following simple movement rules for choosing the distances and turning angles of successive flights, without the use of spatial memory. If pollinators can learn the locations of patches and choose among possible foraging routes or paths, however, even better performance may be achieved. We tested whether and how bumble bees can optimize and repeat their foraging routes in laboratory experiments with artificial flowers that secreted nectar at a constant rate. With increasing experience, foraging routes of bees became more repeatable and efficient than expected from a combination of simple movement rules between successive flowers. We suggest that trapline foraging is a more sophisticated pattern of spatial use than searching and is based on memory. On the other hand, certain spatial configurations of flowers hampered optimization by the bees; bees preferred to choose short distances over straight moves and showed little plasticity in this regard. Developing an efficient trapline, therefore, may require prior selection of a set of plants with an appropriate spatial configuration. Copyright 2007.

Suggested Citation

  • Kazuharu Ohashi & James D. Thomson & Daniel D'Souza, 2007. "Trapline foraging by bumble bees: IV. Optimization of route geometry in the absence of competition," Behavioral Ecology, International Society for Behavioral Ecology, vol. 18(1), pages 1-11, January.
  • Handle: RePEc:oup:beheco:v:18:y:2007:i:1:p:1-11
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    File URL: http://hdl.handle.net/10.1093/beheco/arl053
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    Citations

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    Cited by:

    1. Kazuharu Ohashi & Alison Leslie & James D. Thomson, 2013. "Trapline foraging by bumble bees: VII. Adjustments for foraging success following competitor removal," Behavioral Ecology, International Society for Behavioral Ecology, vol. 24(3), pages 768-778.
    2. Mathieu Lihoreau & Nigel E Raine & Andrew M Reynolds & Ralph J Stelzer & Ka S Lim & Alan D Smith & Juliet L Osborne & Lars Chittka, 2012. "Radar Tracking and Motion-Sensitive Cameras on Flowers Reveal the Development of Pollinator Multi-Destination Routes over Large Spatial Scales," PLOS Biology, Public Library of Science, vol. 10(9), pages 1-13, September.
    3. Kazuharu Ohashi & James D. Thomson, 2013. "Trapline foraging by bumble bees: VI. Behavioral alterations under speed–accuracy trade-offs," Behavioral Ecology, International Society for Behavioral Ecology, vol. 24(1), pages 182-189.
    4. Chudzinska, Magda & Dupont, Yoko L. & Nabe-Nielsen, Jacob & Maia, Kate P. & Henriksen, Marie V. & Rasmussen, Claus & Kissling, W. Daniel & Hagen, Melanie & Trøjelsgaard, Kristian, 2020. "Combining the strengths of agent-based modelling and network statistics to understand animal movement and interactions with resources: example from within-patch foraging decisions of bumblebees," Ecological Modelling, Elsevier, vol. 430(C).

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