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Proceedings of the National Academy of Sciences
Article . 2011 . Peer-reviewed
Data sources: Crossref
ZENODO
Article . 2011
Data sources: Datacite
ZENODO
Article . 2011
Data sources: Datacite
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Optimal concentrations in nectar feeding

Authors: Kim, Wonjung; Gilet, Tristan; Bush, John W.M.;

Optimal concentrations in nectar feeding

Abstract

Nectar drinkers must feed quickly and efficiently due to the threat of predation. While the sweetest nectar offers the greatest energetic rewards, the sharp increase of viscosity with sugar concentration makes it the most difficult to transport. We here demonstrate that the sugar concentration that optimizes energy transport depends exclusively on the drinking technique employed. We identify three nectar drinking techniques: active suction, capillary suction, and viscous dipping. For each, we deduce the dependence of the volume intake rate on the nectar viscosity and thus infer an optimal sugar concentration consistent with laboratory measurements. Our results provide the first rationale for why suction feeders typically pollinate flowers with lower sugar concentration nectar than their counterparts that use viscous dipping.

Related Organizations
Keywords

Time Factors, Plant Nectar, Physique, chimie, mathématiques & sciences de la terre, Carbohydrates, Video Recording, bats, Drinking Behavior, bat, Models, Biological, biomechanics, Zoologie, Physical, chemical, mathematical & earth Sciences, Tongue, Chiroptera, Animals, Animalia, optimal concentration, Pollination, Chordata, biocapillarity, Entomology & pest control, Physique, Viscosity, Physics, Biodiversity, Bees, Life sciences, Biomechanical Phenomena, Massachusetts, Mammalia, Sciences du vivant, Microscopy, Electron, Scanning, Entomologie & lutte antiravageur, Zoology

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    197
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
197
Top 1%
Top 10%
Top 10%
bronze