title: Recurring patterns in the songs of humpback whales (Megaptera novaeangliae).
abstract: Humpback whales, unlike most mammalian species, learn new songs as adults. Populations of singers progressively and collectively change the sounds and patterns within their songs throughout their lives and across generations. In this study, humpback whale songs recorded in Hawaii from 1985 to 1995 were analyzed using self-organizing maps (SOMs) to classify the sounds within songs, and to identify sound patterns that were present across multiple years. These analyses supported the hypothesis that recurring, persistent patterns exist within whale songs, and that these patterns are defined at least in part by acoustic relationships between adjacent sounds within songs. Sound classification based on acoustic differences between adjacent sounds yielded patterns within songs that were more consistent from year to year than classifications based on the properties of single sounds. Maintenance of fixed ratios of acoustic modulation across sounds, despite large variations in individual sounds, suggests intrinsic constraints on how sounds change within songs. Such acoustically invariant cues may enable whales to recognize and assess variations in songs despite propagation-related distortion of individual sounds and yearly changes in songs.
authors.affiliation: Department of Psychology, University at Buffalo, USA. srgreen@buffalo.edu
authors.forename: Sean R
authors.initials: SR
authors.lastname: Green
authors.forename: Eduardo
authors.initials: E
authors.lastname: Mercado
authors.forename: Adam A
authors.initials: AA
authors.lastname: Pack
authors.forename: Louis M
authors.initials: LM
authors.lastname: Herman
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D004455:Echolocation / Q000502:physiology; D017753:Ecosystem; D050640:Humpback Whale / Q000502:physiology*; D009010:Monte Carlo Method; D016571:Neural Networks, Computer; D009792:Oceans and Seas; D011336:Probability; D014828:Vocalization, Animal / Q000502:physiology*