Macroecological patterns in flower colour are shaped by both biotic and abiotic factors

Rhiannon L. Dalrymple*, Darrell J. Kemp, Habacuc Flores-Moreno, Shawn W. Laffan, Thomas E. White, Frank A. Hemmings, Angela T. Moles

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    28 Citations (Scopus)

    Abstract

    There is a wealth of research on the way interactions with pollinators shape flower traits. However, we have much more to learn about influences of the abiotic environment on flower colour. 

    We combine quantitative flower colour data for 339 species from a broad spatial range covering tropical, temperate, arid, montane and coastal environments from 9.25ºS to 43.75ºS with 11 environmental variables to test hypotheses about how macroecological patterns in flower colouration relate to biotic and abiotic conditions. 

    Both biotic community and abiotic conditions are important in explaining variation of flower colour traits on a broad scale. The diversity of pollinating insects and the plant community have the highest predictive power for flower colouration, followed by mean annual precipitation and solar radiation. On average, flower colours are more chromatic where there are fewer pollinators, solar radiation is high, precipitation and net primary production are low, and growing seasons are short, providing support for the hypothesis that higher chromatic contrast of flower colours may be related to stressful conditions. 

    To fully understand the ecology and evolution of flower colour, we should incorporate the broad selective context that plants experience into research, rather than focusing primarily on effects of plant–pollinator interactions.

    Original languageEnglish
    Pages (from-to)1972-1985
    Number of pages14
    JournalNew Phytologist
    Volume228
    Issue number6
    Early online date13 Jun 2020
    DOIs
    Publication statusPublished - Dec 2020

    Keywords

    • colour
    • diversity
    • flower
    • pollinator
    • precipitation
    • productivity
    • resource availability
    • solar radiation

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