The role of learning, acoustic similarity and phylogenetic relatedness in the recognition of distress calls in birds

Wu, Yingtong; Petrosky, Anna L.; Hazzi, Nicolás A.; Woodward, Rebecca Lynn; Sandoval, Luís

doi:10.1016/j.anbehav.2021.02.015

Cited by 6 publications

(6 citation statements)

References 65 publications

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“…Two aspects of parental reactions were recorded: (1) nest-leaving behavior: whether parents left the nest (yes/no) after the playback and (2) leaving time: when the parents left the nest (0–61 s) during playback. If the parents left the nest during playback, the time of leaving ranged from 0 to 60 s. If the parents did not leave the nest during playback, the leaving time was set to 61 s based on a standard method of adding 1 U to the maximum value ( Wu et al 2021 ).…”

Section: Methodsmentioning

confidence: 99%

“…Eavesdropping is a widespread behavior that functions to update estimates of the quality of other individuals ( Valone 2007 ). The basis of recognition of heterospecific and conspecific distress calls may include 3 aspects: learning, similarity in acoustic parameters, and phylogenetic relatedness ( Wu et al 2021 ). Therefore, whatever distress calls chicks or adults utter, this information would be valuable for sympatric neighbors.…”

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confidence: 99%

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Parent–offspring and inter-offspring responses to conspecific versus heterospecific distress calls in 2 sympatric birds

et al. 2021

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Distress calls, as a type of alarm call, play important roles in expressing bodily condition and conveying information concerning predation threats. In this study, we examined the communication via distress calls in parent–offspring and inter-offspring interactions. First, we used playback of chick distress calls of two sympatric breeders, the vinous-throated parrotbill Sinosuthora webbiana and the oriental reed warbler Acrocephalus orientalis, to the adults/chicks of these two species respectively and measured the responses of conspecifics or heterospecifics. The playback-to-chicks experiment showed that both species of chicks reduced the number of begging calls and begging duration time as a response to conspecific/heterospecific distress calls compared with natural begging and background noise controls. However, reed warbler chicks also reduced beak opening frequency in the response to conspecific distress calls compared with other playback stimuli. Second, the results of the playback-to-adults experiment showed that reed warbler adults could eavesdrop on distress calls of conspecific neighbors and sympatric heterospecifics. Furthermore, the nest-leaving behavior of reed warblers did not differ significantly when they heard the distress calls of conspecifics or parrotbills. Finally, reed warbler adults responded to conspecific distress calls more quickly than to heterospecific distress calls, while parrotbill adults presented the opposite response. Our results supported the warn-kin hypothesis and show that chick distress calls play an important role in conveying risk and the condition of chicks to enhance individual fitness. In addition, we also found that eavesdropping on distress calls is a congenital behavior that begins in the chick stage.

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Section: Methodsmentioning

confidence: 99%

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confidence: 99%

Parent–offspring and inter-offspring responses to conspecific versus heterospecific distress calls in 2 sympatric birds

et al. 2021

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“…"Pair members demonstrated comparable responses towards a male 'intruder', as latency to respond and proximity scores were very similar between pair members in the majority of pairs examined" DeVries et al, 2020 "We found that individuals called back to sympatric and allopatric calls within similar amounts of time," Wu et al, 2021 Non-Significant N = 71, 26%…”

Section: Title Claimsmentioning

confidence: 75%

Reporting and interpreting non-significant results in animal cognition research

Farrar¹,

Vernouillet²,

Garcia‐Pelegrin³

et al. 2022

Preprint

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How negative results are reported and interpreted following null hypothesis significance testing is often criticised. With small sample sizes and often low number of test trials, studies in animal cognition are prone to producing non-significant p-values, irrespective of whether this is a false negative or true negative result. Thus, we assessed how negative results are reported and interpreted across published articles in animal cognition and related fields. In this study, we manually extracted and classified how researchers report and interpret non-significant p-values, and examined the p-value distribution of these non-significant results. We found a large amount of heterogeneity in how researchers report non-significant p-values in the result sections of articles, and how they interpret them in the titles and abstracts. “No Effect” interpretations were common in the titles (84%), abstracts (64%), and results sections (41%) of papers, whereas “Non-Significant” interpretations were less common in the titles (0%) and abstracts (26%), but were present in the results (52%). Discussions of effect sizes were rare (<5% of articles). A p-value distribution analysis was consistent with research being performed with low power research to detect effect sizes of interest.

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“…In addition, in order to test whether the recognition is driven by the phylogenetic correlation with the caller, the phylogenetic distance close to the individual of Staphylococcus aureus when using different playback stimuli was compared. It is found that individuals call back the same domain and different domain calls in similar time, supporting the role of voice similarity in distress call recognition [3]. At the same time, animal behavior analysis is an important research direction of the intersection of biology and computer science, which automatically analyzes the behavior of animal body, joints and other parts through the use of computer vision and artificial intelligence technology.…”

Section: Introductionmentioning

confidence: 73%

Algorithm of Fusion Convolution Neural Network in Animal Recognition

2020

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The application of convolutional neural network has emerged in various fields in recent years, and has been favored by more and more experts, and has gradually entered the vision of ordinary people. Convolution neural network is a kind of deep neural network. Its main feature is that the front end input uses multi-layer locally interconnected neurons to extract the input information, and can consider the translation, rotation and scaling invariance of the signal target in space. In this paper, CNN is applied to image processing, and an animal recognition algorithm based on self normalized convolution neural network is proposed. Animal recognition technology is one of the most successful applications in image analysis and understanding, and has been attached importance by researchers from all walks of life. Especially in the past few years, Internet technology and information technology have been developing continuously, and the research on animal recognition has become more and more significant.

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The role of learning, acoustic similarity and phylogenetic relatedness in the recognition of distress calls in birds

Cited by 6 publications

References 65 publications

Parent–offspring and inter-offspring responses to conspecific versus heterospecific distress calls in 2 sympatric birds

Parent–offspring and inter-offspring responses to conspecific versus heterospecific distress calls in 2 sympatric birds

Reporting and interpreting non-significant results in animal cognition research

Algorithm of Fusion Convolution Neural Network in Animal Recognition

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