Staying ahead of the game—plasticity in chorusing behavior allows males to remain attractive in different social environments

Neelon, Daniel; Höbel, Gerlinde

doi:10.1007/s00265-019-2737-1

Cited by 11 publications

(8 citation statements)

References 39 publications

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“…Similarly, frogs are known to adjust their signal timing and consequently their call overlap rate depending on the social environment. In green tree frogs (Hyla cinerea), for example, males tend to actively 10.3389/fevo.2022.934661 avoid call interference with competitive rivals (Neelon and Höbel, 2019). Frogs in our study could, for example, respond stronger to each other if we had given them the opportunity to adjust the timing of their calls to each other.…”

Section: Importance Of Social Dynamicsmentioning

confidence: 82%

Interactive and independent effects of light and noise pollution on sexual signaling in frogs

et al. 2022

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Urbanization drastically changes environmental conditions, including the introduction of sensory pollutants, such as artificial light at night (ALAN) and anthropogenic noise. To settle in urban habitats, animals need to cope with this new sensory environment. On a short timescale, animals might cope with sensory pollutants via behavioral adjustments, such as changes in sexual signaling, which can have important fitness consequences. While ALAN and anthropogenic noise generally co-occur in urban habitats and are known to be able to interact to modify behavioral responses, few studies have addressed their combined impact. Our aim was, therefore, to assess the effects of ALAN, anthropogenic noise, and their interaction on sexual signaling in túngara frogs (Engystomops pustulosus). We observed the calling behavior of frogs in urban and forest areas, and subsequently recorded these frogs in a laboratory set-up while independently manipulating light and noise levels. Frogs in urban areas called with a higher call rate and complexity, which was correlated with local sensory conditions. Furthermore, our lab experiment revealed that ALAN can directly alter sexual signaling independently as well as in combination with anthropogenic noise. Exposure to ALAN alone increased call amplitude, whereas a combination of ALAN and anthropogenic noise interacted to lead to a higher call complexity and amplitude. Overall, the response patterns consistently showed that exposure to ALAN and anthropogenic noise led to more conspicuous sexual signals than expected based on the additive effects of single pollutants. Our results support the notion that urban and forest population differences in sexual signaling can be partially explained by exposure to ALAN and anthropogenic noise. Furthermore, by demonstrating interactive effects between light and noise pollution, our study highlights the importance of examining the effects of multisensory pollution, instead of single pollutants, when trying to understand phenotypic divergence in urbanized vs. natural areas.

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Section: Importance Of Social Dynamicsmentioning

confidence: 82%

Interactive and independent effects of light and noise pollution on sexual signaling in frogs

et al. 2022

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“…However, it should be noted that Neelon and Höbel reported an inconsistent result with our indication. Namely, their playback experiment demonstrated that male frogs (H. cinerea) selectively attend the calls of more attractive males [14]. Given that they worked on other frog species and used other call traits (i.e.…”

Section: Discussionmentioning

confidence: 99%

“…Such selective attention is reported in various systems. For example, humans pay attention to one of the talking people in noisy environment like a party [8]; fish and birds attend their neighbour when forming a school or flock [9,10]; bats pay attention to specific targets during prey capture [11]; male frogs pay attention to specific sound sources when advertising themselves by calling [4,5,[12][13][14][15]. To understand the roles of selective attention, it is essential for us to quantify interaction mechanisms and evaluate these with respect to the behaviour of interacting animals.…”

Section: Introductionmentioning

confidence: 99%

Interaction mechanisms quantified from dynamical features of frog choruses

2020

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Interaction mechanism in the acoustic communication of actual animals is investigated by combining mathematical modeling and empirical data. Here we use a deterministic mathematical model (a phase oscillator model) to describe the interaction mechanism underlying the choruses of male Japanese tree frogs (Hyla japonica) in which the male frogs attempt to avoid call overlaps with each other due to acoustic communication. The mathematical model with a general interaction term is identified by a Bayesian approach from multiple audio recordings on the choruses of three male frogs. The identified model qualitatively reproduces the stationary and dynamical features of the empirical data, supporting the validity of the model identification. In addition, we quantify the magnitude of attention paid among the male frogs from the identified model, and then analyze the relationship between the attention and behavioral parameters by using a statistical model. The analysis demonstrates the biologically valid relationship about the negative correlation between the attention and inter-frog distance, and also indicates the existence of a behavioral strategy that the male frogs selectively pay attention towards a less attractive male frog so as to utilize the advantage of their attractiveness for effective mate attraction.

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“…As male advertisement calls drive sexual selection for many species, particular calling behaviour may be better adapted to maintain reproductive success (Cunnington & Fahrig, 2010; Neelon & Höbel, 2019). Many components of calls are under behavioural and physiological control, including call duration, repetition rate, dominant frequency and signal timing (Bee et al, 2000; Bosch & De la Riva, 2004; Byrne, 2008; Neelon & Höbel, 2019). Adjustments to these (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, artificial lighting can alter biological rhythms and predation risk, affecting the timing and amount of calling (Baker & Richardson, 2006; Dominoni & Partecke, 2015; Fuller et al, 2007; Hall, 2016). As male advertisement calls drive sexual selection for many species, particular calling behaviour may be better adapted to maintain reproductive success (Cunnington & Fahrig, 2010; Neelon & Höbel, 2019). Many components of calls are under behavioural and physiological control, including call duration, repetition rate, dominant frequency and signal timing (Bee et al, 2000; Bosch & De la Riva, 2004; Byrne, 2008; Neelon & Höbel, 2019).…”

Section: Introductionmentioning

confidence: 99%