Bioacoustics: Characterizing the hum of hovering animals

The sounds of flying animals, such as the hum of a hummingbird as it hovers, are influenced by the unique forces generated by the flapping of their wings.
  1. Robert Niese  Is a corresponding author
  1. College of Arts and Sciences, Pacific University, United States

Flight is an inherently noisy form of locomotion. For example, the sounds generated by a flock of pigeons can tell a listener exactly how urgently they are flying and their precise position (Clark, 2016; Larsson, 2012). Some species have even evolved specialized feathers that produce extra sounds to communicate the difference between casual and emergency take-off events (Murray et al., 2017). The characteristic hum of a hummingbird and the buzz of a mosquito are both produced by the motion of their wings during flight. Yet it is poorly understood how the act of flapping can generate such distinct sounds.

During flight, flapping wings generate vertical (lift) and horizontal (drag) forces that oscillate with every wingbeat. These forces can be observed as changes in the air pressure around an animal as it flaps. Similarly, sound waves move through the air as small, rippling changes in air pressure. Using exciting new tools and techniques a team of reasearchers at Stanford University were able to directly measure both types of pressure fluctuations in live hummingbirds as they hovered. Now, in eLife, Ben J Hightower (Stanford University) and Patrick WA Wijnings (Eindhoven University of Technology), and their team led by David Lentink (Stanford University), report new insights into the link between oscillating lift and drag forces and the acoustic qualities of the hummingbird’s hum (Hightower et al., 2021).

By adapting a model for propeller noise (Lowson, 1965), the team were able to mathematically describe the relationship between a flapping wing and the sound pressure waves it produces. The model created by Hightower et al. combines information about a wing’s motion and the forces it creates to predict how a wing sound will radiate through the air. These modeled sound waves are very similar to those observed in live hummingbirds and precisely matched some of their acoustic characteristics, like their pitch and loudness.

But as any musician can tell you, there is more to sound than just its pitch and loudness. The timbre, or acoustic quality, of a sound is the primary reason why different instruments playing the same note sound distinct from one another (Figure 1A and B). The simplest physical attribute of a sound that can help define its timbre is its harmonic content – that is, the distinct tones that are naturally produced beyond the original tone, or fundamental frequency, as it is played. The number and loudness of these harmonic tones largely determines the timbre of a sound.

What determines the timbre of a sound?

The cyclical motion of sound pressure waves or force pressure waves moving through the air can be represented by a waveform that repeats once every ‘T’ seconds (left side graphs). The number and relative height of the peaks and valleys of these waveforms directly influences the loudness of individual harmonics in the corresponding sound (right side graphs). Instruments like the flute (A) and oboe (B) playing the same note will produce sound pressure waves that repeat at the same rate (T) but have differing waveforms. This makes the harmonic content, the timbre, of the notes different. Hightower et al. showed that hovering animals – such as hummingbirds (C), parrotlets (D), mosquitos (E), and compact flies (F) – also produce unique pressure waves which repeat each time they flap their wing. Here, the waveforms represent vertical, lift forces instead of sound, but the link between the pressure waves and their harmonic content is the same. For complex waveforms (B, E, and F) with many peaks and valleys, the corresponding harmonics tend to be dominated by harmonics that are louder than the fundamental frequency (f). Whereas, in simpler waveforms (A, C, and D), the fundamental frequency is usually the loudest harmonic.

Using their model, Hightower et al. were also able to determine the precise links between aerodynamic forces, wing motion, and the harmonic content of the hummingbird’s hum. They found that the loudness of the second and fourth harmonic tones corresponds to the generation of vertical forces which happens twice per wingbeat in hummingbirds – first on the downstroke and then again on the upstroke (Warrick et al., 2005). Whereas the loudness of the fundamental frequency and the third harmonic are influenced by rotational horizontal forces which vary throughout the wingbeat. Taken together, the unique aerodynamic forces of the hummingbird’s wingbeat are responsible for the relative loudness and harmonic content of the wing’s sound, giving the hummingbird’s hum its characteristic timbre (Figure 1C).

So, if we know a little bit about the forces an animal produces throughout a single wingbeat, we should be able to predict the timbre of its wing sound using this simplified model. Unlike hummingbirds, larger animals, such as parrotlets and pigeons, only produce lift forces once per wingbeat on the powerful downstroke, and not on the upstroke (Crandell and Tobalske, 2015; Hightower et al., 2017). This generates a loud wing sound that has relatively low second and fourth harmonics (Figure 1D).

Conversely, small insects like mosquitos (Figure 1E) and compact flies (Figure 1F) generate smaller aerodynamic forces but produce them on the downstroke, upstroke, and in between (Bomphrey et al., 2017). This creates more complex and louder harmonics that make the flies’ buzzing seem much louder relative to their size. In courtship displays, these tiny insects actually manipulate this relationship by shortening their strokes to generate louder, even more complex tones that attract females (Bennet-Clark and Ewing, 1968).

The model designed by Hightower et al. can be used to create detailed predictions, not only about the loudness and timbre of wing sounds, but also about the directionality of the noise and how it might be perceived over various distances. Furthermore, the model can be used to test whether wing sounds behave as would be expected. Animals that make wing sounds that do not match these predictions might be doing something unusual like using their wings for acoustic communication. Ultimately, this model will be a useful tool for studying animal behavior and the evolution of specialized wing sounds.

References

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    2. Ewing AW
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    The wing mechanism involved in the courtship of Drosophila
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    1. Clark CJ
    (2016) Vertebrate sound production and acoustic communication
    In: Suthers RA, Fitch WT, Fay RR, editors. Vertebrate Sound Production and Acoustic Communication. Springer International Publishing. pp. 83–117.
    https://doi.org/10.1007/978-3-319-27721-9
    1. Lowson MV
    (1965) The sound field for singularities in motion
    Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 286:559–572.
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Article and author information

Author details

  1. Robert Niese

    Robert Niese is in the College of Arts and Sciences, Pacific University, Forest Grove, United States

    For correspondence
    robert.niese@umontana.edu
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-3174-7946

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© 2021, Niese

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  1. Robert Niese
(2021)
Bioacoustics: Characterizing the hum of hovering animals
eLife 10:e68072.
https://doi.org/10.7554/eLife.68072

Further reading

  1. Specific aerodynamic forces created by its wings explain the hum of the Hummingbird

    1. Evolutionary Biology
    Ayumi Mizuno, Malgorzata Lagisz ... Shinichi Nakagawa
    Research Article

    Eyespot patterns have evolved in many prey species. These patterns were traditionally explained by the eye mimicry hypothesis, which proposes that eyespots resembling vertebrate eyes function as predator avoidance. However, it is possible that eyespots do not mimic eyes: according to the conspicuousness hypothesis, eyespots are just one form of vivid signals where only conspicuousness matters. They might work simply through neophobia or unfamiliarity, without necessarily implying aposematism or the unprofitability to potential predators. To test these hypotheses and explore factors influencing predators’ responses, we conducted a meta-analysis with 33 empirical papers that focused on bird responses to both real lepidopterans and artificial targets with conspicuous patterns (i.e. eyespots and non-eyespots). Supporting the latter hypothesis, the results showed no clear difference in predator avoidance efficacy between eyespots and non-eyespots. When comparing geometric pattern characteristics, bigger pattern sizes and smaller numbers of patterns were more effective in preventing avian predation. This finding indicates that single concentric patterns have stronger deterring effects than paired ones. Taken together, our study supports the conspicuousness hypothesis more than the eye mimicry hypothesis. Due to the number and species coverage of published studies so far, the generalisability of our conclusion may be limited. The findings highlight that pattern conspicuousness is key to eliciting avian avoidance responses, shedding a different light on this classic example of signal evolution.