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1.
J Acoust Soc Am ; 142(1): 460, 2017 07.
Article in English | MEDLINE | ID: mdl-28764464

ABSTRACT

Identifying and quantifying variation in vocalizations is fundamental to advancing our understanding of processes such as speciation, sexual selection, and cultural evolution. The song of the humpback whale (Megaptera novaeangliae) presents an extreme example of complexity and cultural evolution. It is a long, hierarchically structured vocal display that undergoes constant evolutionary change. Obtaining robust metrics to quantify song variation at multiple scales (from a sound through to population variation across the seascape) is a substantial challenge. Here, the authors present a method to quantify song similarity at multiple levels within the hierarchy. To incorporate the complexity of these multiple levels, the calculation of similarity is weighted by measurements of sound units (lower levels within the display) to bridge the gap in information between upper and lower levels. Results demonstrate that the inclusion of weighting provides a more realistic and robust representation of song similarity at multiple levels within the display. This method permits robust quantification of cultural patterns and processes that will also contribute to the conservation management of endangered humpback whale populations, and is applicable to any hierarchically structured signal sequence.

2.
Conserv Biol ; 29(4): 1198-1207, 2015 Aug.
Article in English | MEDLINE | ID: mdl-25851618

ABSTRACT

For cetaceans, population structure is traditionally determined by molecular genetics or photographically identified individuals. Acoustic data, however, has provided information on movement and population structure with less effort and cost than traditional methods in an array of taxa. Male humpback whales (Megaptera novaeangliae) produce a continually evolving vocal sexual display, or song, that is similar among all males in a population. The rapid cultural transmission (the transfer of information or behavior between conspecifics through social learning) of different versions of this display between distinct but interconnected populations in the western and central South Pacific region presents a unique way to investigate population structure based on the movement dynamics of a song (acoustic) display. Using 11 years of data, we investigated an acoustically based population structure for the region by comparing stereotyped song sequences among populations and years. We used the Levenshtein distance technique to group previously defined populations into (vocally based) clusters based on the overall similarity of their song display in space and time. We identified the following distinct vocal clusters: western cluster, 1 population off eastern Australia; central cluster, populations around New Caledonia, Tonga, and American Samoa; and eastern region, either a single cluster or 2 clusters, one around the Cook Islands and the other off French Polynesia. These results are consistent with the hypothesis that each breeding aggregation represents a distinct population (each occupied a single, terminal node) in a metapopulation, similar to the current understanding of population structure based on genetic and photo-identification studies. However, the central vocal cluster had higher levels of song-sharing among populations than the other clusters, indicating that levels of vocal connectivity varied within the region. Our results demonstrate the utility and value of using culturally transmitted vocal patterns as a way of defining connectivity to infer population structure. We suggest vocal patterns be incorporated by the International Whaling Commission in conjunction with traditional methods in the assessment of structure.


Estructura Poblacional de las Yubartas en el Centro y Occidente del Sur del Océano Pacífico, Determinada por el Intercambio Vocal entre las Poblaciones Resumen La estructura poblacional de los cetáceos se determina tradicionalmente por medio de genética molecular o individuos identificados fotográficamente. Sin embargo, los datos acústicos han proporcionado información sobre el movimiento y la estructura poblacional de una variedad de taxones con menos esfuerzo y menos costo que los métodos tradicionales. Las yubartas macho (Megaptera novaeangliae) producen una demostración vocal sexual, o canto, en continua evolución que es similar entre todos los machos en una población. La transmisión cultural rápida (la transferencia de información o comportamientos entre co-específicos por medio del aprendizaje social) de diferentes versiones de esta demostración entre poblaciones distintas pero interconectadas en el centro y occidente en la región del sur del Pacífico presenta una manera única para investigar la estructura poblacional con base en las dinámicas de movimiento de la demostración del canto (acústico). Al usar once años de datos, con base en la acústica investigamos a una estructura poblacional de la región al comparar secuencias estereotipadas de cantos entre las poblaciones y los años. Usamos la técnica de la distancia Levenshtein para agrupar poblaciones previamente definidas en grupos (con base vocal) basados en la similitud general de su canto en el espacio y el tiempo. Identificamos a los siguientes grupos vocales perceptibles: grupo occidental, una población al este de Australia; grupo central, poblaciones alrededor de Nueva Caledonia, Tonga y Samoa Americana; y región oriental, ya sea un grupo único o dos grupos, uno alrededor de las Islas Cook y el otro cerca de la Polinesia Francesa. Estos resultados son consistentes con la hipótesis de que cada conjunto reproductivo representa a una población distinta (cada una ocupó un nodo terminal único) en una meta-población, similar al entendimiento actual de la estructura poblacional con base en los estudios genéticos y de foto-identificación. Sin embargo, el grupo vocal central tuvo niveles más altos de cantos compartidos entre las poblaciones que en los otros grupos, lo que indica que los niveles de conectividad vocal variaron dentro de la región. Nuestros resultados demuestran la utilidad y el valor de usar patrones vocales transmitidos culturalmente como una forma de definir la conectividad para inferir la estructura poblacional. Sugerimos que los patrones vocales sean incorporados por la Comisión Internacional de Caza de Ballenas en conjunto con los métodos tradicionales de evaluación de la estructura.


Subject(s)
Conservation of Natural Resources , Humpback Whale/physiology , Vocalization, Animal , Animal Migration , Animals , Male , New Caledonia , Pacific Ocean , Polynesia , Population Dynamics , Queensland , Seasons
3.
J Acoust Soc Am ; 133(1): 560-9, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23297927

ABSTRACT

Humpback whales have a continually evolving vocal sexual display, or "song," that appears to undergo both evolutionary and "revolutionary" change. All males within a population adhere to the current content and arrangement of the song. Populations within an ocean basin share similarities in their songs; this sharing is complex as multiple variations of the song (song types) may be present within a region at any one time. To quantitatively investigate the similarity of song types, songs were compared at both the individual singer and population level using the Levenshtein distance technique and cluster analysis. The highly stereotyped sequences of themes from the songs of 211 individuals from populations within the western and central South Pacific region from 1998 through 2008 were grouped together based on the percentage of song similarity, and compared to qualitatively assigned song types. The analysis produced clusters of highly similar songs that agreed with previous qualitative assignments. Each cluster contained songs from multiple populations and years, confirming the eastward spread of song types and their progressive evolution through the study region. Quantifying song similarity and exchange will assist in understanding broader song dynamics and contribute to the use of vocal displays as population identifiers.


Subject(s)
Geologic Sediments , Humpback Whale/physiology , Signal Processing, Computer-Assisted , Singing , Sound , Water , Animals , Biological Evolution , Cluster Analysis , Male , Motion , Oceans and Seas , Sound Spectrography , Time Factors
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