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Photometric decision making during the dawn choruses of cicadas

Rakesh Khanna A.1,*, Raymond E. Goldstein2,†, Adriana I. Pesci2,‡, and Nir S. Gov3,4,§

  • *Contact author: rakeshkhanna.a@gmail.com
  • †Contact author: R.E.Goldstein@damtp.cam.ac.uk
  • ‡Contact author: A.I.Pesci@damtp.cam.ac.uk
  • §Contact author: nir.gov@weizmann.ac.il
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Phys. Rev. E 112, 024401 – Published 1 August, 2025

DOI: https://doi.org/10.1103/4y4d-p32q

Abstract

We report a quantitative study of the onset of dawn choruses of cicadas in several natural habitats. A time-frequency analysis of the acoustical signals is used to define an order parameter for the development of collective singing. The ensemble of recordings reveals that the chorus onset times accurately track the changing sunrise times over the course of many weeks, occurring at a solar elevation of −3.8∘±0.2∘. Despite day-to-day variations in the amplitude of fully developed choruses, the order parameter data collapse to a common sigmoidal curve when scaled by those amplitudes and shifted by the onset time, revealing a characteristic rise time of ≈60 s for a chorus to reach saturation amplitude. The results are used to obtain the cumulative distribution function of singing as a function of ground illumination, from which is obtained a generalized susceptibility which exhibits a narrow peak with a half width of ≈12%. The variance of the order parameter exhibits a similar peak, suggesting that a generalized fluctuation-dissipation theorem holds for this system. A model of decision making under ramps of a control parameter is developed and can achieve a quantitative match to the data. It suggests that sharpness of the susceptibility peak reflects cooperative decision making arising from acoustic communication.

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Focus

Cicadas Decide to Sing with a Little Help from Their Friends

Published 1 August, 2025

The daily start of a cicada’s mating call is triggered by the amount of light in the sky and also by the behavior of nearby insects.

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References (40)

  1. C. A. Witchell, The Evolution of Bird-Song: With Observations on the Influence of Heredity and Limitation (Adam and Charles Black, London, 1896).
  2. H. Allard, The first morning song of some birds of Washington, D. C.; Its relation to light, Am. Nat. 64, 436 (1930).
  3. J. Davis, Singing behavior and the Gonad cycle of the Rufous-sided Towhee, Condor 60, 308 (1958).
  4. A. Leopold and A. E. Eynon, Avian daybreak and evening song in relation to time and light intensity, Condor 63, 269 (1961).
  5. R. J. Thomas, T. Székely, I. C. Cuthill, D. G. C. Harper, S. E. Newson, T. D. Frayling, and P. D. Wallis, Eye size in birds and the timing of song at dawn, Proc. R. Soc. B 269, 831 (2002).
  6. A. Bruni, D. J. Mennill, and J. R. Foote, Dawn chorus start time variation in a temperate bird community: Relationships with seasonality, weather, and ambient light, J. Ornithol. 155, 877 (2014).
  7. A. Farina, M. Ceraulo, C. Bobryk, N. Pieretti, E. Quinci, and E. Lattanzi, Spatial and temporal variation of bird dawn chorus and successive acoustic morning activity in a Mediterranean landscape, Bioacoustics 24, 269 (2015).
  8. C. A. Staicer, D. A. Spector, and A. G. Horn, The dawn chorus and other diel patterns in acoustic signaling, in Ecology and Evolution of Acoustic Communication in Birds, edited by D. E. Kroodsma and E. H. Miller (Cornell University, Ithaca, 1996).
  9. D. Gil and D. Llusia, The bird dawn chorus revisited, in Coding Strategies in Vertebrate Acoustic Communication, edited by T. Aubin and N. Mathevon, Animal Signals and Communication Vol. 7 (Springer, New York, 2020).
  10. M. D. Greenfield, Synchronous and alternating choruses in insects and aurans: Common mechanisms and diverse functions, Amer. Zool. 34, 605 (1994).
  11. G. Si-Yuan, J. Yu-Liang, Z. Xiao-Xue, and H. Ji-Ping, A possible population-driven phase transition in cicada chorus, Commun. Theor. Phys. 51, 1055 (2009).
  12. L. W. Sheppard, B. Mechtley, J. A. Walter, and D. C. Reuman, Self-organizing cicada choruses respond to the local sound and light environment, Ecol. Evol. 10, 4471 (2020).
  13. R. Sarfati, L. Gaudette, J. M. Cicero, and O. Peleg, Statistical analysis reveals the onset of synchrony in sparse swarms of Photinus knulli fireflies, J. R. Soc. Interface 19, 20220007 (2022).
  14. J. Sueur and T. Aubin, Acoustic communication in the Palaearctic red cicada, Tibicina haematodes: Chorus organisation, calling-song structure, and signal recognition, Can. J. Zool. 80, 126 (2002).
  15. M. McCrea, B. Ermentrout, and J. E. Rubin, A model for the collective synchronization of flashing in photinus carolinus, J. R. Soc. Interface 19, 20220439 (2022).
  16. C. Simon, J. R. Cooley, R. Karban, and T. Sota, Advances in the evolution and ecology of 13- and 17-year periodical cicadas, Annu. Rev. Entomol. 67, 457 (2022).
  17. J. E. Heath, Thermal synchronization of emergence in periodical “17-year” cicadas (Homoptera, Cicadidae, Magicicada), Am. Mid. Nat. 80, 440 (1968).
  18. R. E. Goldstein, R. L. Jack, and A. I. Pesci, How do cicadas emerge together? Thermophysical aspects of their collective decision-making, Phys. Rev. E 109, L022401 (2024).
  19. Q. Michard and J.-P. Bouchaud, Theory of collective opinion shifts: from smooth trends to abrupt swings, Eur. Phys. J. B 47, 151 (2005).
  20. J.-P. Bouchaud, Crises and collective socio-economic phenomena: Simple models and challenges, J. Stat. Phys. 151, 567 (2013).
  21. https://www.gbif.org/species/8406013.
  22. L. Cohen, Time-frequency distributions: A review, Proc. IEEE 77, 941 (1989).
  23. The data were obtained from https://www.timeanddate.com/sun/india/bengaluru?month=4&year=2023.
  24. The data were obtained from https://weatherspark.com/h/m/108998/2023/4/Historical-Weather-in-April-2023-in-Bengaluru-Karnataka-India#Figures-CloudCover.
  25. Explanatory Supplement to the Astronomical Almanac, edited by K. Seidelmann (University Science, Mill Valley, CA, 1992), Sec. 9.34.
  26. K. O. Johnson, S. S. Hsiao, and T. Yoshioka, Neural coding and the basic law of psychophysics, Neurosci. 8, 111 (2002).
  27. K. Sato, Y. Ito, T. Yomo, and K. Kaneko, On the relation between fluctuation and response in biological systems, Proc. Natl. Acad. Sci. USA 100, 14086 (2003).
  28. J. Prost, J.-F. Joanny, and J. M. R. Parrondo, Generalized fluctuation-dissipation theroem for steady-state systems, Phys. Rev. Lett. 103, 090601 (2009).
  29. W. Wu and J. Wang, Generalized fluctuation-dissipation theorem for non-equilibrium spatially extended systems, Front. Phys. 8, 567523 (2020).
  30. H. Rauhut and J. Lorenz, The wisdom of crowds in one mind: How individuals can simulate the knowledge of diverse societies to reach better decisions, J. Math. Psychol. 55, 191 (2011).
  31. I. D. Couzin, Collective cognition in animal groups, Trends Cog. Sci. 13, 36 (2009).
  32. T. Sasaki, B. Granovskiy, R. P. Mann, D. J. T. Sumpter, and S. C. Pratt, Ant colonies outperform individuals when a sensory discrimination task is difficult but not when it is easy, Proc. Natl. Acad. Sci. USA 110, 13769 (2013).
  33. S. Moreno-Gámez, M. E. Hochberg, and G. S. van Doorn, Quorum sensing as a mechanism to harness the wisdom of the crowds, Nat. Commun. 14, 3415 (2023).
  34. G. B. S. Rivas, L. G. S. da R. Bauzer, and A. C. A. Meireles-Filho, “The environment is everything that isn't me”: Molecular mechanisms and evolutionary dynamics of insect clocks in variable surroundings, Front. Physiol. 6, 400 (2016).
  35. A. T. Hartnett, E. Schertzer, S. A. Levin, and I. D. Couzin, Heterogeneous preference and local nonlinearity in consensus decision making, Phys. Rev. Lett. 116, 038701 (2016).
  36. I. Pinkoviezky, I. D. Couzin, and N. S. Gov, Collective conflict resolution in groups on the move, Phys. Rev. E 97, 032304 (2018).
  37. E. Gorbonos, R. Ianconescu, J. G. Puckett, R. Ni, N. T. Ouellette, and N. S. Gov, Long-range acoustic interactions in insect swarms: An adaptive gravity model, New J. Phys. 18, 073042 (2016).
  38. M. Hartbauer and H. Römer, Rhythm generation and rhythm perception in insects: The evolution of synchronous choruses, Front. Neurosci. 10, 223 (2016).
  39. G. Beauchamp, Chorus organization in a neotropical forest cicada, Biology 13, 913 (2024).
  40. R. Khanna A., R. E. Goldstein, A. I. Pesci, and N. Gov, Data for “Photometric decision-making during the dawn choruses of cicadas,” Zenodo (2025), doi:10.5281/zenodo.14960413.

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Phys. Rev. E 112, 024401– Published 1 August, 2025
  • Received 10 March 2025
  • Accepted 28 May 2025
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Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

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