Cannot see you but can hear you: vocal identity recognition in microbats

Visual cues do not enhance sea lion pups' response to multimodal maternal cues

Mammals use multiple sensory cues for mother-offspring recognition. While the role of single sensory cues has been well studied, we lack information about how multiple cues produced by mothers are integrated by their offspring. Knowing that Australian sea lion (Neophoca cinerea) pups recognise their mother’s calls, we first tested whether visual cues are used by pups to discriminate between conspecifics of different age classes (adult female vs pup). We then examined if adding a visual stimulus to an acoustic cue enhances vocal responsiveness of Australian sea lion pups, by presenting wild individuals with either a visual cue (female 3D-model), an acoustic cue (mother’s call), or both simultaneously, and observing their reaction. We showed that visual cues can be used by pups to distinguish adult females from other individuals, however we found no enhancement effect of these cues on the response in a multimodal scenario. Audio-only cues prompted a similar reaction to audio-visual cues that was significantly stronger than pup response to visual-only cues. Our results suggest that visual cues are dominated by acoustic cues and that pups rely on the latter in mother recognition.

Acoustically diverse vocalization repertoire in the Himalayan leaf-nosed bat, a widely distributed Hipposideros species

Insectivorous bats vocalize to both communicate with conspecifics and to echolocate. The communicative vocalizations or "calls" of bats either consist of or are constructed from discrete acoustic units, termed "syllables." This study examined syllable diversity in the Himalayan leaf-nosed bat, Hipposideros armiger, a species that is widely distributed across Southeast Asia. This social species' vocalizations were hypothesized to consist of a wide variety of syllables facilitating its social interactions. To test this hypothesis, multiple acoustic parameters were measured from recorded vocalizations to map the acoustic boundaries of syllables. Spectrographic signatures were used to classify all recorded sounds into 35 distinct syllable types-18 as simple syllables and 17 as composites. K-means clustering independently provided an optimal fit of simple syllables into 18 clusters with a good correspondence to 15 spectrographically assigned syllable types. Discriminant analysis further confirmed the spectrographic classification of constant frequency syllables (0% misclassification) and revealed a low (<15%) misclassification of spectrograms for all examples of frequency modulation syllables. Multidimensional scaling of mean values of multiple parameters provided a spectrographically constrained relational mapping of syllable types within two dimensions. These data suggest that H. armiger has a complex, well organized syllabic repertoire despite simple syllables being rarely emitted in isolation.