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Wolves have a remarkably complex social system: they breed, hunt and keep large territories cooperatively. To maintain such an elaborate system, a similarly complex and sophisticated communication system would also be expected. Based on this, studying the vocal communication of wolves and comparing it with other canids of different levels of social...
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... on location (Tooze et al. 1990 ). Due to their acoustic structure, howls can travel long distances without severe distortion and hence the information content remains reliably preserved. According to Nowak et al. ( 2006 ), the spontaneous howling activity of wolves peaks between July and October, during the season when pups were present. Most of the howls were recorded during dusk and they were emitted from the core area of the territory, and it seems that they mainly serve as long range contact maintenance between pack members (Nowak et al. 2006 ). Tooze et al. ( 1990 ) found that the fundamental frequency, particularly its variability, makes howls individually distinctive. Fundamental frequency also carries information about the maturation status of the individual: adults’ howls have lower fundamental frequency than juveniles’ howls (Harrington and Mech 1978 ), and unfamiliar packs seem to react only to howls from adult individuals (Harrington 1986 ). However, it still remains an open question whether wolves can use this information during communication and recognize or discriminate each other by howls. Between groups, howls seem to play a role in territory defence, communicating location and advertisement of resource ownership (Harrington and Mech 1979 ). When humans mimic howls within the territory simulating a single stranger tres- passing, the pack’s reaction can range from silent avoidance to howling back and approaching the intruder, depending on multiple factors (Harrington and Mech 1979 ). For example, the breeding season and presence of young individuals can heighten the probability of howling and approach, either if the pack is around a fresh kill or assembly sites of the pack (rendezvous sites). Social status and pack size is also important, as larger packs and packs in the presence of the alpha individual respond more readily than smaller pack in the absence of the alpha (Harrington and Mech 1979 ). All these observations suggest the packs attempt to avoid any confrontation that can be costly or even lethal, unless they have to defend high value resources. In these cases, wolf packs often howl back revealing their position and try to search for and probably physically repel the intruder. In such situations, cues to physical strength and inner state represented in the howls could play a crucial role in preventing actual confrontations. Single howls can probably convey both types of information. On the one hand, howl length is associated with body size providing information about the resource holding potential of the individual (Harrington and Mech 1978 ), while tonality and frequency are both affected by the inner state of the wolves: the closer wolves approach an intruder, the lower the fundamental frequency and tonality of their howls (Harrington 1987 ). This acoustic change with inner state seems to closely follow Morton’s structural motivational rules (Morton 1977 ). Interestingly, group howls seems to conceal the real size of the pack: for humans, the number of howling individuals is hard to estimate or measure by listening or analysing choruses. Probably the raising variability of the fundamental over the chorusing and the abrupt changes cause the so called “Beaue geste” effect providing an interesting example of potential information withholding (Harrington 1989 ). Recent fi ndings also demonstrate that, whilst the number of individuals howling may be unclear, there can be recognizable group specifi c cues (mainly fundamental frequency and variance components and duration) in chorus howls (Zaccaroni et al. 2012 ). Such information likely facilitates the recognition of neigh- bouring packs, and extraction of up-to-date information regarding location. The most prominent feature of barks are their short durations (0.2–0.6 s) and spectral shape that resembles a ‘Christmas tree’ formation due to the progressive lowering of energy in higher frequencies (Feddersen-Petersen 2000 ). Barks possess variable fundamental frequencies (150–900 Hz) and noisiness, and in structure they show a typical curved shape with fast raise and drop in frequency. Barks can be emitted as single calls or bouts. Several subtypes can be recognized, which are sometimes classifi ed as different calls, but, as with the whines and howls previously described, we suggest that subtypes just represent extreme variants of barks. The most tonal barks with the highest frequency (above 400 Hz) are referred to as yelps (Cohen and Fox 1976 ; Schassburger 1993 ), which have been suggested to develop from whines by temporal shortening. At the other side of the range stands the woof (or cough), which has low fundamental frequency (90–120 Hz) and is noisy, produced by a short (0.1–0.15 s) burst of air emitted through closed or slightly open mouth and can be an intermittent form between barks and growls. Finally, real barks are noisy, loud bursts, with a medium fundamental frequency (150–170 Hz) falling between yelps and woofs (Fig. 4.5 ). In wolves, barks and woofs are used primarily in threat contexts, such as territorial defence or dominance interactions, while yelps occur more in fearful situations and are used relatively infrequently (Schassburger 1993 ). This contrasts substantially with the vocal behaviour of dogs, which bark basically in any social context (Cohen and Fox 1976 ). This phenomenon has of course prompted many researchers to investigate this obvious discrepancy. Bleicher ( 1963 ) suggested that dog barks are just non- communicative bursts of excitement and Cohen and Fox ( 1976 ) argued that barks became hypertrophied during domestication due to the relaxation of selection pressure for silence. However, Cohen and Fox also emphasize that humans would prefer dogs during selection which provide information with their barks, but also suggest that selection towards high contextual specifi city is unlikely. If the latter is true, barks should have gradually lost their communicative role (Coppinger and Feinstein 1991 ). Boitani and Ciucci ( 1995 ) fi ndings show that feral dogs also use barks in similarly limited number of contexts as wolves supporting the relaxation hypothesis. By studying and comparing the acoustic structure of dog barks with other mammalian and bird vocalizations, Lord et al. ( 2009 ) raised the possibility that barks originally functioned as mobbing signals to threaten intruders and assemble pack members to protect their territory. They suggest that the hypertrophy of barks is due to the shrink of dogs’ living area and the continuous disturbances in the human environment. Another possible scenario is that during domestication barks were released from selective pressures and became more prominent. Later, due to the selective breeding by humans who preferred more communicative and understandable dogs, barks diversifi ed to provide inner state information (Pongrácz et al. 2010 ) as well as contextual information (Tembrock 1976 ). This idea is supported by recent fi ndings demonstrating that dog barks show specifi c contextual differences (Feddersen- Petersen 2000 ; Yin 2002 ; Yin and McCowan 2004 ). Moreover, it also appears that humans can categorize dog barks by their context surprisingly well and are able to assess their probable inner state (Pongrácz et al. 2005 ). For example, humans could discriminate dog barks recorded from situations when a stranger approached the household, before walks, when left alone or during play, irrespective of whether they owned a dog or not. Also they assigned aggressive inner state to barks recorded from agonistic contexts, happy inner states to playful contexts and fearful inner states to stressed contexts like separation from the owner. In a similar way to howls, barks conform to Morton’s rules and humans apparently use their frequency, tonality and rhythm to recognize the dogs’ inner states (Pongrácz et al. 2006 ). Further studies showed that dogs can also discriminate barks recorded from different contexts, and dogs can also differentiate between different barking individuals suggesting that these calls might convey specifi c identity information (Molnár et al. 2009 ). In spite of this, humans could not differentiate individual dogs by their barks, nor could owners recognize the bark of their own dog when confronted with barks of other individuals of the same breed (Molnár et al. 2006 ). Although there is a growing body of research on dog barks, it is important to highlight that only by directly comparing barking behaviour between dogs and wolves, and thorough acoustic analysis of barks from both species will it be possible to unpack why and how this interesting difference in their vocal behaviour emerged. Grunts are low frequency (85–200 Hz), short, harmonic or slightly noisy calls of wolf and dog pups (Cohen and Fox 1976 ) emitted during relief, comfort or pleasure. In dogs, they are also present in adulthood (Bleicher 1963 ). Our personal observations showed that they occur during scratching or petting by humans, especially in greeting situation, raising the possibility that this call is a paedomorphic relic, but further investigations would be necessary to support this hypothesis (Fig. 4.6 ). Groans are spectrally and acoustically similar to moans. They have a relatively low or medium fundamental frequency (250–450 Hz) modulated periodically, with low level of spectral noise. These calls are emitted by dog pups and adults in acute distress, pain or sickness (Bleicher 1963 ), but mentioned by Cohen and Fox ( 1976 ) as general canid vocalization too. Growl vocalisations are generally elongated, broadband, low frequency (80–300 Hz) vocalizations with low frequency modulation and a high concentration of noise but still with a visible harmonic structure (Riede and Fitch 1999 ). Due to their low amplitude, growls are used only as short-range signals. On a behavioural level, two types are distinguished: the snort , which is the nasal form of the growl, emitted ...
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... Concerning dogs, based on studies conducted on their close relatives, wolves, there is evidence of a sophisticated system of vocal communication conveying information on the vocalizer, including their inner state, and the context of vocalization (Faragó et al., 2014). The main domestic dog vocalizations are barking, growling, howling, and whining (Sibiryakova et al., 2021). ...
... One well known example of dog's bodily play signals recognized by humans is the play bow, where the dog leans forward, lowers the chest, and stretches the front legs (Bradshaw and Rooney, 2014). When it comes to vocalizations, playful barks and growls are shaped differently from those produced e.g. in agonistic contexts, and humans can identify these distinctions (Faragó et al., 2014(Faragó et al., , 2017. ...
The aim of this paper is to explore how interpersonal distance, mouth sounds, and human language are synchronized to construe meaning within interspecies play projects. The data consist of video recordings presenting 4 child-dog dyads in ecological French-speaking contexts. The study combines ethological methods, phonetic analysis, and cognitive-linguistic analysis. The paper shows that physical contact and proximity characterize child-dog play and affect children's vocal behaviour. Adjustments in interpersonal distance are conditioned by ongoing play projects. In plays including hidden or out-of-reach objects , proxemic adjustments, sounds, and language structures construe referentiality and perspective-taking.
... Dogs bark in a variety of contexts and it has been suggested that it is linked to communicating something specific to humans, as an alarm call, territory marking, or some internal state (Coppinger & Coppinger, 2001;Lord et al., 2009;Pongr acz et al., 2005;Taylor et al., 2014;Yin, 2002). In short, dog barking is ubiquitous relative to the wolf howl (Farag o et al., 2013;Lesch & Fitch, 2023). Barking is related to nearby functions that do not require sustained contraction of the muscles around the lips, being a staccato, rapid onset sound. ...
Domestic dogs (Canis familiaris) are descended from gray wolf (Canis lupus) populations that inhabited Western Europe and Siberia. The specific timing of dog domestication is debated, but archeological and genetic evidence suggest that it was a multi‐phase process that began at least 15,000 years ago. There are many morphological differences between dogs and wolves, including marked divergence in facial muscle morphology, but we know little about the comparative physiology of these muscles. A better understanding of comparative facial muscle physiology between domestic dogs and gray wolves would improve our conceptual framework for the processual mechanisms in dog domestication. To address these issues, we assessed the myosin profiles (type I and type II) from the zygomaticus and orbicularis oris muscles of 6 domestic dogs and 4 gray wolves. Due to small sample sizes, statistical analyses were not done. Results reveal that sampled domestic dogs have almost 100% fast‐twitch (type II) muscle fibers while gray wolves have less than 50%, meaning that dog faces can contract fast while wolf faces are able to sustain facial muscle contraction. Sample sizes are limited but the present study indicates that dog domestication is associated with not only a change in facial muscle morphology but a concomitant change in how these muscles function physiologically. Selective pressures in the development of communication between dogs and humans using facial expression may have influenced this evolutionary divergence, but the paedomorphic retention of barking in adult dogs may have also played a role.
... In the animal kingdom, direct and indirect communication is present and often mixed, from wolves, which communicate directly via howling [16]. Bees use a waggle dance to communicate where a food source is [3]. ...
This study aims to present a novel flocking algorithm for robotic fish that will aid the study of fish in their natural environment. The algorithm, fish-inspired robotic algorithm (FIRA), amalgamates the standard flocking behaviors of attraction, alignment, and repulsion, together with predator avoidance, foraging, general obstacle avoidance, and wandering. The novelty of the FIRA algorithm is the combination of predictive elements to counteract processing delays from sensors and the addition of memory. Furthermore, FIRA is specifically designed to work with an indirect communication method that leads to superior performance in collision avoidance, exploration, foraging, and the emergence of realistic behaviors. By leveraging a high-latency, non-guaranteed communication methodology inspired by stigmergy methods inherent in nature, FIRA successfully addresses some of the obstacles associated with underwater communication. This breakthrough enables the realization of inexpensive, multi-agent swarms while concurrently harnessing the advantages of tetherless communication. FIRA provides a computational light control algorithm for further research with low-cost, low-computing agents. Eventually, FIRA will be used to assimilate robots into a school of biological fish, to study or influence the school. This study endeavors to demonstrate the effectiveness of FIRA by simulating it using a digital twin of a bio-inspired robotic fish. The simulation incorporates the robot’s motion and sensors in a realistic, real-time environment with the algorithm used to direct the movements of individual agents. The performance of FIRA was tested against other collective flocking algorithms to determine its effectiveness. From the experiments, it was determined that FIRA outperformed the other algorithms in both collision avoidance and exploration. These experiments establish FIRA as a viable flocking algorithm to mimic fish behavior in robotics.
... A howl contains the identity of an individual wolf (Root-Gutteridge et al., 2014;Hull, McCombe, & Dassow, 2020;Sadhukhan, Root-Gutteridge, & Habib, 2021). Additionally, studying howling behaviour can reveal various pieces of information such as social behaviour (Joslin, 1966;Biben, 1983;Faragó, Townsend, & Range, 2014), ecology (McIntyre et al., 2017, breeding success through the detection of pups and even evolutionary history (Kershenbaum et al., 2016;Hennelly et al., 2017;Chen & Wiens, 2020). To explore how howling behaviour is affected by the different factors, we conducted howl surveys on collared and non-collared wolves. ...
Wolves use howls to maintain large territories, intra‐pack communication and social bonding. Besides their physical presence, howls are also instrumental in creating fear and impacting foraging behaviour among the lower cascade. Anthropocene‐led behavioural alteration in vocalization has been observed in a wide range of species, but the effect on wolf howl is unknown. In this context, we have studied the howling behaviour of the Indian wolf through playback surveys (n = 264) across the anthropogenic gradient. We found a disparity in their howl response – based on the distance to villages. In the low disturbed East‐Maharashtra (EM), wolves mostly avoided responding to howling surveys (HS) if done within 1200 m of villages [response rate (RR) = 0.03 ± 0.021], but they did respond once it was done far from villages (>1200 m) (RR = 0.226 ± 0.075). In high human‐density West‐Maharashtra (WM), wolves showed high RR within 1200 m from the villages (RR = 0.148 ± 0.031). But the RR within 500 m from villages was less as howling near villages might lead to easy detection. The collared wolf data showed significantly high RR (0.635 ± 0.067) in their home‐range core, but low RR if the core area was close to a village. Therefore, howling too close to a village is disadvantageous, although their tolerance for responding to HS has increased in the human‐dominated landscape. The extent of the village may increase further with development, which will leave fewer areas for the wolf to defend territory with a long‐range howl. The wolves might behaviourally adapt to a human‐modified landscape by reducing their howling intensity. Adaptation to a fragmented habitat may save the wolves from extinction, but the repercussions of the fundamental behavioural alteration might adversely impact wolf behaviour and the ecological cascade. Whereas ecologists are mainly concerned with the extinction of species, this study highlights the vulnerability of fundamental behaviour of a keystone species attributed to human‐induced contemporary evolution.
... 12,13 Intra-pack cohesion thus is essential to survival and can be reinforced by affiliative interactions (e.g., 'conciliatory' post-conflict interactions 14 ). Furthermore, long-range vocalizations such as howling facilitate reunion with temporarily dispersed pack members, [15][16][17] help to coordinate and synchronize group movements, 18 and serve as a form of territorial spacing to avoid confrontations with rivaling packs. 19,20 In contrast to wolves, the social ecology of free-ranging dogs (FRD) appears to rely less on pack cohesion for survival. ...
Domestication has altered dogs’ conspecific social organization compared to their closest, non-domesticated relatives, grey wolves. Wolves live in packs whose survival depends on coordinated behaviour, but dogs rely less on conspecifics, which predicts greater cohesiveness in wolf than dog packs. Endocrine correlates such as oxytocin and glucocorticoids modulate group cohesion resulting in species-specific differences in social interactions. We found that although wolves’ and dogs’ observable behavioural reactions to a territorial threat and separation from the pack were similar, hormonal responses differed. Wolves’ but not dogs’ oxytocin and glucocorticoid concentrations correlated positively with territorial behaviours and only wolves showed increased glucocorticoid concentrations after separation from their pack. Together, results suggest stronger emotional activation to threats to group integrity in wolves than dogs, in line with their socio-ecology.
... agonistic) contexts, such as growls or barks [58,59]. In addition to signalling relatively stable 475 physical attributes (e.g., size) [60], these vocalisations can vary acoustically between positive 476 and negative behavioural contexts [56,61]. ...
While nonlinear phenomena (NLP) are widely reported in animal vocalizations, often causing perceptual harshness and roughness, their communicative function remains debated. Several hypotheses have been put forward: attention-grabbing, communication of distress, exaggeration of body size and dominance. Here, we use state-of-the-art sound synthesis to investigate how NLP affect the perception of puppy whines by human listeners. Listeners assessed the distress, size or dominance conveyed by synthetic puppy whines with manipulated NLP, including frequency jumps and varying proportions of subharmonics, sidebands and deterministic chaos. We found that the presence of chaos increased the puppy's perceived level of distress and that this effect held across a range of representative fundamental frequency (fo) levels. Adding sidebands and subharmonics also increased perceived distress among listeners who have extensive caregiving experience with pre-weaned puppies (e.g. breeders, veterinarians). Finally, we found that whines with added chaos, subharmonics or sidebands were associated with larger and more dominant puppies, although these biases were attenuated in experienced caregivers. Together, our results show that nonlinear phenomena in puppy whines can convey rich information to human listeners and therefore may be crucial for offspring survival during breeding of a domesticated species.
... Harrington & Mech (1978, p. 111) used the collective term 'whimper' defined as a group of vocalisations "variously classified as whines, whimpers, and squeaks" (also see Nikolskii & Frommolt, 1989). Faragó et al. (2014) recently grouped whines and whimpers into a single category of whines with several subtypes; they classified squeaking reported by Goldman et al. (1995) as a variant of a tonal whine. Schassburger (1993; also see Harrington & Asa, 2003) differentiated whines and whimpers describing whines as relatively long (1-2 s) or continuous harmonic sounds and whimpers as single short (0.1-0.2) sounds. ...
Wolves ( Canis lupus ) frequently use the close-range squeaking vocalization, a soft, multi-unit, high-pitched tonal vocalisation. We examined the social and movement contexts of the occurrence and acoustic characteristics of squeaking from videotapes of pack-reared, pack-living captive wolves living in semi-natural conditions at the Canadian Centre for Wolf Research over a three-year period. We only examined squeaking vocalisations for which the sender and potential receiver(s) could be determined. Wolves squeaked in many contexts, especially when approaching other wolves in prosocial and food contexts. Some wolves squeaked more than others. Acoustically, squeaking vocalisations were individually identifiable, primarily through frequency characteristics. Contextual use suggests that squeaking conveys the friendly motivation of an approaching wolf and in aggressive situations, a motivation to defuse or decrease aggression. This close-range vocalisation may play an important role in controlling and coordinating social interactions within the pack.
... During dog domestication, barking became the prevalent mode of vocal communication for dogs, e.g., as a hunting partner (Perri, 2020). Wolves only bark very briefly and only in rare cases (Mech and Boitani, 2010;Faragó et al., 2014). Dog barking can thus be interpreted as an adaptation to human speech-based communication (Pongrácz et al., 2010;Paladini, 2020). ...
Different factors seemingly account for the emergence of present-day languages in our species. Human self-domestication has been recently invoked as one important force favoring language complexity mostly via a cultural mechanism. Because our self-domestication ultimately resulted from selection for less aggressive behavior and increased prosocial behavior, any evolutionary or cultural change impacting on aggression levels is expected to have fostered this process. Here, we hypothesize about a parallel domestication of humans and dogs, and more specifically, about a positive effect of our interaction with dogs on human self-domestication, and ultimately, on aspects of language evolution, through the mechanisms involved in the control of aggression. We review evidence of diverse sort (ethological mostly, but also archeological, genetic, and physiological) supporting such an effect and propose some ways of testing our hypothesis.
... Family dogs' whines emitted in separation from the owner, are high-pitched and generally tonal but are rich in NLP 22,23 . They can be considered as contact calls functioning to evoke the attention of the owner 24 , and they possibly developed from the pup whine, which originally functioned as a separation call in the absence of the mother 25 . NLP have already been described in Canid vocalisations (dhole: 26 ; red wolf: 22 ), including dogs' howls 11 , barks 27 and whines 23 , but none of these studies have directly tested what role they play in communication. ...
During social interactions, acoustic parameters of tetrapods’ vocalisations reflect the emotional state of the caller. Higher levels of spectral noise and the occurrence of irregularities (non-linear phenomena NLP) might be negative arousal indicators in alarm calls, although less is known about other distress vocalisations. Family dogs experience different levels of stress during separation from their owner and may vocalise extensively. Analysing their whines can provide evidence for the relationship between arousal and NLP. We recorded 167 family dogs’ separation behaviour including vocalisations, assessed their stress level based on behaviour and tested how these, their individual features, and owner reported separation-related problems (SRP) relate to their whines’ (N = 4086) spectral noise and NLP. Dogs with SRP produced NLP whines more likely. More active dogs and dogs that tried to escape produced noisier whines. Older dogs’ whines were more harmonic than younger ones’, but they also showed a higher NLP ratio. Our results show that vocal harshness and NLP are associated with arousal in contact calls, and thus might function as stress indicators. The higher occurrence of NLP in older dogs irrespective to separation stress suggests loss in precise neural control of the larynx, and hence can be a potential ageing indicator.
... communication with humans, dogs primarily use barks and whines (Pongrá cz et al. 2010;Faragó et al. 2014;Taylor et al. 2014;Westgarth et al. 2016;Parsons et al. 2019). With whines, dogs can protest at separation (Mariti et al. 2013;Huber et al. 2017) and manipulate their owners (Volodina et al. 2006a) in a manner similar to the excessive manipulative meowing of domestic cats Felis catus (Nicastro 2004;McComb et al. 2009). ...
... Many dog owners complain about the uncontrolled vocalization of their companion dogs (Beaver 1994;Pongrá cz et al. 2010;Westgarth et al. 2016;Parsons et al. 2019). However, some dog owners voluntarily or involuntarily promote whining by their dogs via a conditioned response mechanism (Volodina et al. 2006a;Faragó et al. 2014). This kind of communication between dogs and owners develops via classical or operant conditioning with positive reinforcement, either deliberate or not (e.g., Guerra and Silva 2010). ...
... This kind of communication between dogs and owners develops via classical or operant conditioning with positive reinforcement, either deliberate or not (e.g., Guerra and Silva 2010). So, in some dog-owner pairs, dog whining represents a part of everyday routine communication (Volodina et al. 2006a;Faragó et al. 2014). Whines, recorded in conditioned response contexts (e.g., of begging for food), can be used to study acoustic diversity in domestic dogs (Volodina et al. 2006a). ...
In domestic dogs Canis familiaris, vocal traits have been investigated for barks and growls, and the relationship between individual body size and vocal traits investigated for growls, with less corresponding information for whines. In this study, we examined frequency and temporal traits of whines of 20 adult companion dogs (9 males, 11 females), ranging in body weight from 3.5 to 70.0 kg and belonging to 16 breeds. Dog whines (26–71 per individual, 824 in total) were recorded in conditioned begging contexts modeled by dog owners. Whines had three independent fundamental frequencies: the low, the high and the ultra-high that occurred singly as monophonic calls or simultaneously as two-voice biphonic or three-voice polyphonic calls. From the smallest to largest dog, the upper frequency limit varied from 0.24 to 2.13 kHz for the low fundamental frequency, from 2.95 to 10.46 kHz for the high fundamental frequency and from 9.99 to 23.26 kHz for the ultra-high fundamental frequency. Within individuals, the low fundamental frequency was lower in monophonic than in biphonic whines, whereas the high fundamental frequency did not differ between those whine types. All frequency variables of the low, high and ultra-high fundamental frequencies correlated negatively with dog body mass. For duration, no correlation with body mass was found. We discuss potential production mechanisms and sound sources for each fundamental frequency; point to the acoustic similarity between high-frequency dog whines and rodent ultrasonic calls and hypothesize that ultra-high fundamental frequencies function to allow private, “tete-a-tete” communication between members of social groups.