Deterministic Chaos in Sounds of Asian Cicadas

Benko, Tina P.; Perc, Matjaž

doi:10.1142/s0218339006002008

Cited by 16 publications

(7 citation statements)

References 39 publications

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“…The other possible explanations for our failure in quantitatively distinguishing songs of congeneric cicadas might be the limitation of our spectrogram analysis, which is based on the Fourier transform, a linear system analysis. Since Benko and Perc [ 33 – 34 ] have demonstrated that sounds of insects, such as the Asian cicada ( Tosena depicta ) and katydid ( Neoconocephalus robustus ), possess clear markers of deterministic chaos, we suggested that a nonlinear analysis, such as the determination of the maximal Lyapunov exponent, might be beneficial to distinguish songs of congeneric cicadas quantitatively.…”

Section: Discussionmentioning

confidence: 99%

Acoustic and Temporal Partitioning of Cicada Assemblages in City and Mountain Environments

2015

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Comparing adaptations to noisy city environments with those to natural mountain environments on the community level can provide significant insights that allow an understanding of the impact of anthropogenic noise on invertebrates that employ loud calling songs for mate attraction, especially when each species has its distinct song, as in the case of cicadas. In this study, we investigated the partitioning strategy of cicada assemblages in city and mountain environments by comparing the acoustic features and calling activity patterns of each species, recorded using automated digital recording systems. Our comparison of activity patterns of seasonal and diel calling revealed that there was no significant temporal partitioning of cicada assemblages in either environment. In addition, there was no correlation between the acoustic distance based on spectral features and temporal segregation. Heterospecific spectral overlap was low in both city and mountain environments, although city and mountain cicada assemblages were subject to significantly different levels of anthropogenic or interspecific noise. Furthermore, for the common species found in both environments, the calling activity patterns at both seasonal and diel time scales were significantly consistent across sites and across environments. We suggest that the temporal calling activity is constrained by endogenous factors for each species and is less flexible in response to external factors, such as anthropogenic noise. As a result, cicada assemblages in city environments with low species diversity do not demonstrate a more significant temporal partitioning than those in mountain environments with high species diversity.

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Section: Discussionmentioning

confidence: 99%

Acoustic and Temporal Partitioning of Cicada Assemblages in City and Mountain Environments

2015

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“…Deterministic chaos was observed in many different real-life phenomena that include some Hindustani classical music, some bio-medical signals like ECG [35] and EMG signals, etc. Recently, deterministic chaos was observed in systems as diverse as insects [36][37], reptiles [38] and by laser droplet generation [39]. Most of these reallife signals are non-stationary, and nonlinear with different types of nonlinearities.…”

Section: Introductionmentioning

confidence: 99%

New types of nonlinear auto-correlations of bivariate data and their applications

Palit¹,

Mukherjee²,

Bhattacharya

2012

Applied Mathematics and Computation

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Abstract. The paper introduces new types of nonlinear correlations between bivariate data sets and derives nonlinear auto-correlations on the same data set. These auto-correlations are of different types to match signals with different types of nonlinearities. Examples are cited in all cases to make the definitions meaningful. Next correlogram diagrams are drawn separately in all cases; from these diagrams proper time lags/delays are determined. These give rise to independent coordinates of the attractors. Finally three dimensional attractors are reconstructed in each case separately with the help of these independent coordinates. Moreover for the purpose of making proper distinction between the signals, the attractors so reconstructed are quantified by a new technique called 'ellipsoid fit'.

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“…Complexity in acoustic signals has traditionally been described by patterns of frequency and/or amplitude modulation, or the sequential combination of harmonic and broadband elements [1,4,7]. However, recent application of chaos theory and nonlinear time-series analysis to animal calls [4,8] has revealed a new metric of acoustic complexity that expands frequency profiles beyond this dichotomous categorization of harmonic and broadband calls in both vertebrate [1,4,7,8] and invertebrate lineages [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear acoustic complexity in a fish ‘two-voice’ system

2011

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Acoustic signals play essential roles in social communication and show a strong selection for novel morphologies leading to increased call complexity in many taxa. Among vertebrates, repeated innovations in the larynges of frogs and mammals and the syrinx of songbirds have enhanced the spectro-temporal content, and hence the diversity of vocalizations. This acoustic diversification includes nonlinear characteristics that expand frequency profiles beyond the traditional categorization of harmonic and broadband calls. Fishes have remained a notable exception to evidence for such acoustic innovations among vertebrates, despite their being the largest group of living vertebrates that also exhibit widespread evolution of sound production. Here, we combine rigorous acoustic and mathematical analyses with experimental silencing of the vocal motor system to show how a novel swim bladder mechanism in a toadfish enables it to generate calls exhibiting nonlinearities like those found among frogs, birds and mammals, including primates. By showing that fishes have evolved nonlinear acoustic signalling like all other major lineages of vocal vertebrates, these results suggest strong selection pressure favouring this mechanism to enrich the spectro-temporal content and complexity of vocal signals.

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Deterministic Chaos in Sounds of Asian Cicadas

Cited by 16 publications

References 39 publications

Acoustic and Temporal Partitioning of Cicada Assemblages in City and Mountain Environments

Acoustic and Temporal Partitioning of Cicada Assemblages in City and Mountain Environments

New types of nonlinear auto-correlations of bivariate data and their applications

Nonlinear acoustic complexity in a fish ‘two-voice’ system

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