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Large Scale Homing in Honeybees

Overview of attention for article published in PLOS ONE, May 2011
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Title
Large Scale Homing in Honeybees
Published in
PLOS ONE, May 2011
DOI 10.1371/journal.pone.0019669
Pubmed ID
Authors

Mario Pahl, Hong Zhu, Jürgen Tautz, Shaowu Zhang

Abstract

Honeybee foragers frequently fly several kilometres to and from vital resources, and communicate those locations to their nest mates by a symbolic dance language. Research has shown that they achieve this feat by memorizing landmarks and the skyline panorama, using the sun and polarized skylight as compasses and by integrating their outbound flight paths. In order to investigate the capacity of the honeybees' homing abilities, we artificially displaced foragers to novel release spots at various distances up to 13 km in the four cardinal directions. Returning bees were individually registered by a radio frequency identification (RFID) system at the hive entrance. We found that homing rate, homing speed and the maximum homing distance depend on the release direction. Bees released in the east were more likely to find their way back home, and returned faster than bees released in any other direction, due to the familiarity of global landmarks seen from the hive. Our findings suggest that such large scale homing is facilitated by global landmarks acting as beacons, and possibly the entire skyline panorama.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 6 4%
Switzerland 1 <1%
France 1 <1%
Brazil 1 <1%
New Zealand 1 <1%
China 1 <1%
United States 1 <1%
Unknown 140 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 24%
Researcher 33 22%
Student > Bachelor 18 12%
Student > Master 12 8%
Student > Doctoral Student 5 3%
Other 23 15%
Unknown 24 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 54%
Environmental Science 8 5%
Engineering 6 4%
Unspecified 4 3%
Psychology 4 3%
Other 17 11%
Unknown 31 20%