title: Quantitative analysis of harmonic convergence in mosquito auditory interactions.
abstract: This article analyses the hearing and behaviour of mosquitoes in the context of inter-individual acoustic interactions. The acoustic interactions of tethered live pairs of Aedes aegypti mosquitoes, from same and opposite sex mosquitoes of the species, are recorded on independent and unique audio channels, together with the response of tethered individual mosquitoes to playbacks of pre-recorded flight tones of lone or paired individuals. A time-dependent representation of each mosquito's non-stationary wing beat frequency signature is constructed, based on Hilbert spectral analysis. A range of algorithmic tools is developed to automatically analyse these data, and used to perform a robust quantitative identification of the 'harmonic convergence' phenomenon. The results suggest that harmonic convergence is an active phenomenon, which does not occur by chance. It occurs for live pairs, as well as for lone individuals responding to playback recordings, whether from the same or opposite sex. Male-female behaviour is dominated by frequency convergence at a wider range of harmonic combinations than previously reported, and requires participation from both partners in the duet. New evidence is found to show that male-male interactions are more varied than strict frequency avoidance. Rather, they can be divided into two groups: convergent pairs, typified by tightly bound wing beat frequencies, and divergent pairs, that remain widely spaced in the frequency domain. Overall, the results reveal that mosquito acoustic interaction is a delicate and intricate time-dependent active process that involves both individuals, takes place at many different frequencies, and which merits further enquiry.
authors.affiliation: Bristol Centre for Complexity Sciences, University of Bristol, Bristol BS8 1TR, UK.
authors.forename: Andrew
authors.initials: A
authors.lastname: Aldersley
authors.affiliation: Department of Engineering Mathematics, University of Bristol, Bristol BS8 1UB, UK.
authors.forename: Alan
authors.initials: A
authors.lastname: Champneys
authors.affiliation: Department of Engineering Mathematics, University of Bristol, Bristol BS8 1UB, UK martin.homer@bristol.ac.uk.
authors.forename: Martin
authors.identifier: http://orcid.org/0000-0002-9848-1409
authors.initials: M
authors.lastname: Homer
authors.affiliation: School of Biological Sciences, University of Bristol, Bristol BS8 1TQ, UK.
authors.forename: Daniel
authors.initials: D
authors.lastname: Robert
mesh_terms: D000162:Acoustics; D000330:Aedes / Q000502:physiology*; D000465:Algorithms; D000818:Animals; D005260:Female; D008297:Male; D060739:Phonons; D014828:Vocalization, Animal / Q000502:physiology*
keywords: acoustic signal processing; active audition; bioacoustics; hearing