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Waggle Dance Distances as Integrative Indicators of Seasonal Foraging Challenges

Overview of attention for article published in PLOS ONE, April 2014
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Title
Waggle Dance Distances as Integrative Indicators of Seasonal Foraging Challenges
Published in
PLOS ONE, April 2014
DOI 10.1371/journal.pone.0093495
Pubmed ID
Authors

Margaret J. Couvillon, Roger Schürch, Francis L. W. Ratnieks

Abstract

Even as demand for their services increases, honey bees (Apis mellifera) and other pollinating insects continue to decline in Europe and North America. Honey bees face many challenges, including an issue generally affecting wildlife: landscape changes have reduced flower-rich areas. One way to help is therefore to supplement with flowers, but when would this be most beneficial? We use the waggle dance, a unique behaviour in which a successful forager communicates to nestmates the location of visited flowers, to make a 2-year survey of food availability. We "eavesdropped" on 5097 dances to track seasonal changes in foraging, as indicated by the distance to which the bees as economic foragers will recruit, over a representative rural-urban landscape. In year 3, we determined nectar sugar concentration. We found that mean foraging distance/area significantly increase from springs (493 m, 0.8 km2) to summers (2156 m, 15.2 km2), even though nectar is not better quality, before decreasing in autumns (1275 m, 5.1 km2). As bees will not forage at long distances unnecessarily, this suggests summer is the most challenging season, with bees utilizing an area 22 and 6 times greater than spring or autumn. Our study demonstrates that dancing bees as indicators can provide information relevant to helping them, and, in particular, can show the months when additional forage would be most valuable.

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Geographical breakdown

Country Count As %
India 2 <1%
Brazil 2 <1%
Colombia 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 196 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 17%
Student > Master 30 15%
Researcher 29 14%
Student > Bachelor 20 10%
Student > Doctoral Student 11 5%
Other 34 17%
Unknown 44 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 43%
Environmental Science 27 13%
Engineering 7 3%
Computer Science 4 2%
Earth and Planetary Sciences 4 2%
Other 21 10%
Unknown 53 26%