Visualizing Phonotactic Behavior of Female Frogs in Darkness

Aihara, Ikkyu; Bishop, Phillip J.; Ohmer, Michel E. B.; Awano, Hiromitsu; Mizumoto, Takeshi; Okuno, Hiroshi G.; Narins, Peter M.; Hero, Jean Marc

doi:10.1038/s41598-017-11150-y

Cited by 8 publications

(3 citation statements)

References 20 publications

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“…In addition, we analyse the detailed properties of the transition between the calling state and the silent state. The period of a calling state is first estimated for respective frogs according to the method explained in our previous studies [25,26]; a chorus of male frogs is then detected as a period that includes a partial overlap of calling states among the three frogs. Next, we determine the inter-chorus interval and chorus duration as displayed in figure 2 a , and calculate those values from the four datasets of 12 frogs.…”

Section: Frog Chorusesmentioning

confidence: 99%

Mathematical modelling and application of frog choruses as an autonomous distributed communication system

et al. 2019

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Interactions using various sensory cues produce sophisticated behaviour in animal swarms, e.g. the foraging behaviour of ants and the flocking of birds and fish. Here, we investigate the behavioural mechanisms of frog choruses from the viewpoints of mathematical modelling and its application. Empirical data on male Japanese tree frogs demonstrate that (1) neighbouring male frogs avoid call overlaps with each other over a short time scale and (2) they collectively switch between the calling state and the silent state over a long time scale. To reproduce these features, we propose a mathematical model in which separate dynamical models spontaneously switch due to a stochastic process depending on the internal dynamics of respective frogs and also the interactions among the frogs. Next, the mathematical model is applied to the control of a wireless sensor network in which multiple sensor nodes send a data packet towards their neighbours so as to deliver the packet to a gateway node by multi-hop communication. Numerical simulation demonstrates that (1) neighbouring nodes can avoid a packet collision over a short time scale by alternating the timing of data transmission and (2) all the nodes collectively switch their states over a long time scale, establishing high network connectivity while reducing network power consumption. Consequently, this study highlights the unique dynamics of frog choruses over multiple time scales and also provides a novel bio-inspired technology that is applicable to the control of a wireless sensor network.

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Section: Frog Chorusesmentioning

confidence: 99%

Mathematical modelling and application of frog choruses as an autonomous distributed communication system

et al. 2019

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“…Sound-based techniques are suitable for rugged and difficult-to-reach areas (e.g., muddy or mountainous regions). Sound recordings have also been used to image the phonotactic behavior of female frogs in the dark [ 28 ]. Enari et al [ 2 , 8 ] used passive acoustic monitoring to monitor sika deer in eastern Japan; they built a sound recognizer to automatically detect three types of deer calls from sound recordings.…”

Section: Introductionmentioning

confidence: 99%

Detecting and Tracking the Positions of Wild Ungulates Using Sound Recordings

Salem

Fujisao

Maki

et al. 2021

Sensors

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Monitoring wild ungulates such as deer is a highly challenging issue faced by wildlife managers. Wild ungulates are increasing in number worldwide, causing damage to ecosystems. For effective management, the precise estimation of their population size and habitat is essential. Conventional methods used to estimate the population density of wild ungulates, such as the light census survey, are time-consuming with low accuracy and difficult to implement in harsh environments like muddy wetlands. On the other hand, unmanned aerial vehicles are difficult to use in areas with dense tree cover. Although the passive acoustic monitoring of animal sounds is commonly used to evaluate their diversity, the potential for detecting animal positions from their sound has not been sufficiently investigated. This study introduces a new technique for detecting and tracking deer position in the wild using sound recordings. The technique relies on the time lag among three recorders to estimate the position. A sound recording system was also developed to overcome the time drift problem in the internal clock of recorders, by receiving time information from GPS satellites. Determining deer position enables the elimination of repetitive calls from the same deer, thus providing a promising tool to track deer movement. The validation results revealed that the proposed technique can provide reasonable accuracy for the experimental and natural environment. The identification of deer calls in Oze National Park over a period of two hours emphasizes the great potential of the proposed technique to detect repetitive deer calls, and track deer movement. Hence, the technique is the first step toward designing an automated system for estimating the population of deer or other vocal animals using sound recordings.

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“… shows a new technique designed to monitor phonotactic movements of frogs in both the laboratory and the natural environment(Aihara et al 2017). In this technique, a female Australian orange-eyed treefrog (Ranoidea chloris) wears a miniature LED backpack.…”

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confidence: 99%

Behavioral and Physiological Audiometric Methods for Animals

McFadden

Simmons

Erbe

et al. 2022

Exploring Animal Behavior Through Sound: Volume 1

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An important component of bioacoustical research is the description and quantification of the hearing capabilities of different animal species. This chapter reviews common behavioral and physiological methods used to examine the hearing of live animals and discusses some of their strengths and weaknesses. The focus is on audiometric studies that identify the frequency range and sensitivity of hearing, with examples provided from several different species. The methods discussed also are useful for quantifying other aspects of auditory perception such as sound frequency or intensity discrimination, sound localization, and the effects of noise on hearing.

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Visualizing Phonotactic Behavior of Female Frogs in Darkness

Cited by 8 publications

References 20 publications

Mathematical modelling and application of frog choruses as an autonomous distributed communication system

Mathematical modelling and application of frog choruses as an autonomous distributed communication system

Detecting and Tracking the Positions of Wild Ungulates Using Sound Recordings

Behavioral and Physiological Audiometric Methods for Animals

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