University of Exeter
Browse

The diversity of floral temperature patterns, and their use by pollinators

Download (2.11 MB)
journal contribution
posted on 2025-07-31, 20:00 authored by M Harrap, S Rands, N Hempel de Ibarra, H Whitney
Pollinating insects utilise various sensory cues to identify and learn rewarding flower species. One such cue is floral temperature, created by captured sunlight or plant thermogenesis. Bumblebees, honeybees and stingless bees can distinguish flowers based on differences in overall temperature between flowers. We report here that floral temperature often differs between different parts of the flower creating a temperature structure or pattern. Temperature patterns are common, with 55% of 118 plant species thermographed, showing within-flower temperature differences greater than the 2ºC difference that bees are known to be able to detect. Using differential conditioning techniques, we show that bumblebees can distinguish artificial flowers differing in temperature patterns comparable to those seen in real flowers. Thus, bumblebees are able to perceive the shape of these within-flower temperature patterns. Floral temperature patterns may therefore represent a new floral cue that could assist pollinators in the recognition and learning of rewarding flowers.

Funding

MJMH was supported by a Natural Environment Research Council studentship within the GW4 +Doctoral Training Partnership [NE/L002434/]. HMW was supported by an ERC Starting Grant (#260920). The authors would like to thank Natasha de Vere, Laura Jones and the National Botanic Garden of Wales for use of their facilities; Nick Wray and the Bristol Botanic Gardens for use of their facilities and assistance with plant species identification; Paul Chappell and Derek Carr for manufacturing the large artificial flowers; and Andy Whitcher and the Infrared Training Centre for training and advice concerning infrared cameras.

History

Related Materials

Rights

© 2017, Harrap et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

Notes

This is the final version of the article. Available from eLife Sciences Publications via the DOI in this record.

Journal

eLife

Publisher

eLife Sciences Publications Ltd

Language

en

Citation

Vol. 6 : e31262

Department

  • Archive

Usage metrics

    University of Exeter

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC