Non-vocal, or unvoiced, signals surprisingly have received very little attention until recently especially when compared to other acoustic signals. Some sounds made by terrestrial vertebrates are produced not only by the larynx but also by the syrinx. Furthermore, some birds are known to produce several types of non-syrinx sounds. Besides mechanical sounds produced by feathers, bills and/or wings, sounds can be also produced by constriction, anywhere along the pathway from the lungs to the lips or nostrils (in mammals), or to the bill (in birds), resulting in turbulent, aerodynamic sounds. These noises often emulate whispering, snorting or hissing. Even though hissing sounds have been studied in mammals and reptiles, only a few studies have analyzed hissing sounds in birds. Presently, only the hissing of small, nesting passerines as a defense against their respective predators have been studied. We studied hissing in domestic goose. This bird represents a ground nesting non-passerine bird which frequently produces hissing out of the nest in comparison to passerines producing hissing during nesting in holes e.g., parids. Compared to vocally produced alarm calls, almost nothing is known about how non-vocal hissing sounds potentially encode information about a caller’s identity. Therefore, we aimed to test whether non-vocal air expirations can encode an individual’s identity similar to those sounds generated by the syrinx or the larynx. We analyzed 217 hissing sounds from 22 individual geese. We calculated the Potential for Individual Coding (PIC) comparing the coefficient of variation both within and among individuals. In addition, we conducted a series of 15 a stepwise discriminant function analysis (DFA) models. All 16 acoustic variables showed a higher coefficient of variation among individuals. Twelve DFA models revealed 51.2–54.4% classification result (cross-validated output) and all 15 models showed 60.8–68.2% classification output based on conventional DFA in comparison to a 4.5% success rate when classification by chance. This indicates the stability of the DFA results even when using different combinations of variables. Our findings showed that an individual’s identity could be encoded with respect to the energy distribution at the beginning of a signal and the lowest frequencies. Body weight did not influence an individual’s sound expression. Recognition of hissing mates in dangerous situations could increase the probability of their surviving via a more efficient anti-predator response.
Emotions, unlike mood, are short-lived reactions associated with specific events. They can be characterized by two main dimensions, their arousal (bodily activation) and valence (negative versus positive). Knowledge of the valence of emotions experienced by domestic and captive animals is crucial for assessing and improving their welfare, as it enables us to minimize the negative emotions that they might experience and to promote positive ones. Emotions can affect vocalizations directly or indirectly through the brain, lungs, larynx or vocal tract. As a result, vocal expression of emotions has been observed across species, and could serve as a non-invasive and potentially very reliable tool to assess animal emotions. In pigs (Sus scrofa), vocal expression of emotions has been relatively well studied. However, it is not known if the vocal indicators revealed in previous studies are valid across call types and contexts. To find this out, we conducted a meta-analysis of the effects of emotional valence on pig vocalizations, including calls recorded in the most common emotional situations encountered by pigs throughout their lives, from birth to slaughter. Our analyses revealed that pigs produced calls characterized by a higher center of gravity, a shorter duration, less noise (lower Wiener entropy), lower formants (measured using the formant dispersion) and LPC coefficients in positive compared to negative contexts. Overall, these vocal parameters could be very useful for developing automated methods to monitor pig welfare on-farm.
Wild boar (Sus scrofa L.) is one of the most discussed game species, distributed across Europe, therefore the management of this species is considered important. This management should be based on data presented, population quality and preferences and craniometric dimensions show the development of the individual and its prosperity. A sample of 148 male and 153 female wild boar mandibles was studied to compare differences in craniometric measurements, especially to find out wild boar environmental demands and population trends. The width of the caput mandibulae and angle of the mandible showed significant difference between males and females. Measurements analysed with forest area size and other data also showed that larger craniometric dimensions were reached in hunting areas with at least 200 ha of forested area, which may be due to the wild boar’s need for safety and vegetative cover in the first months of piglet development with respect to its home range. The development of young wild boar is dependent on rest and shelter in the first months of life. A forest cover of at least 200 ha appears to be sufficient in this respect. Information on habitat preferences and individual development can lead to improvements in wild boar management.
Individually distinct acoustic signals, produced mainly as tonal and harmonic sounds, have been recorded in many species; however, non-tonal ‘noisy’ signals have received little attention or have not been studied in detail. The capercaillies (Tetrao urogallus) produce complex courtship songs composed of non-tonal noisy signals in four discrete phases. We analyzed recordings from 24 captive male capercaillies in breeding centres in the Czech Republic, Poland, and Germany, and songs from wild males in Sweden, Norway, Finland, and Estonia to test whether a non-harmonic song can encode individual-specific information. We also analyzed the intra-population variation of the male song from three separate areas: Carpathian (Polish and Czech Beskid), Sumava, and Boreal (boreal range of species distribution). Temporal and frequency characteristics can reliably distinguish capercaillies at the individual level (91.7%). DFA model testing geographic variation assigned 91% of songs to the correct area (Carpathian, Sumava, Boreal). The cluster analysis revealed that males from the Boreal area formed a distinct cluster. Our analysis shows clear geographical patterns among our study males and may provide a valuable marker for identifying inter-population dynamics and could help to characterize the evolutionary histories of wood grouse. We discuss the potential use of this marker as a non-invasive monitoring tool for captive and free-roaming capercaillies.
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