Link to the study: http://www.sciencedirect.com/science/ar ... 5716300067
Link to the press release: http://www.cam.ac.uk/research/news/wolf ... g-dialectsWolves, coyotes, and other canids are members of a diverse genus of top predators of considerable conservation and management interest. Canid howls are long-range communication signals, used both for territorial defence and group cohesion. Previous studies have shown that howls can encode individual and group identity. However, no comprehensive study has investigated the nature of variation in canid howls across the wide range of species. We analysed a database of over 2000 howls recorded from 13 different canid species and subspecies. We applied a quantitative similarity measure to compare the modulation pattern in howls from different populations, and then applied an unsupervised clustering algorithm to group the howls into natural units of distinct howl types. We found that different species and subspecies showed markedly different use of howl types, indicating that howl modulation is not arbitrary, but can be used to distinguish one population from another. We give an example of the conservation importance of these findings by comparing the howls of the critically endangered red wolves to those of sympatric coyotes Canis latrans, with whom red wolves may hybridise, potentially compromising reintroduced red wolf populations. We believe that quantitative cross-species comparisons such as these can provide important understanding of the nature and use of communication in socially cooperative species, as well as support conservation and management of wolf populations.
The largest ever study of howling in the ‘canid’ family of species – which includes wolves, jackals and domestic dogs – has shown that the various species and subspecies have distinguishing repertoires of howling, or “vocal fingerprints”: different types of howls are used with varying regularity depending on the canid species. Researchers used computer algorithms for the first time to analyse howling, distilling over 2,000 different howls into 21 howl types based on pitch and fluctuation, and then matching up patterns of howling. They found that the frequency with which types of howls are used – from flat to highly modulated – corresponded to the species of canid, whether dog or coyote, as well as to the subspecies of wolf.