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1.
Anim Cogn ; 22(5): 863-882, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31230140

RESUMO

Killer whales (KW) may be predators or competitors of other cetaceans. Since their foraging behavior and acoustics differ among populations ('ecotypes'), we hypothesized that other cetaceans can eavesdrop on KW sounds and adjust their behavior according to the KW ecotype. We performed playback experiments on long-finned pilot whales (Globicephala melas) in Norway using familiar fish-eating KW sounds (fKW) simulating a sympatric population that might compete for foraging areas, unfamiliar mammal-eating KW sounds (mKW) simulating a potential predator threat, and two control sounds. We assessed behavioral responses using animal-borne multi-sensor tags and surface visual observations. Pilot whales barely changed behavior to a broadband noise (CTRL-), whereas they were attracted and exhibited spyhops to fKW, mKW, and to a repeated-tonal upsweep signal (CTRL+). Whales never stopped nor started feeding in response to fKW, whereas they reduced or stopped foraging to mKW and CTRL+. Moreover, pilot whales joined other subgroups in response to fKW and CTRL+, whereas they tightened individual spacing within group and reduced time at surface in response to mKW. Typical active intimidation behavior displayed to fKW might be an antipredator strategy to a known low-risk ecotype or alternatively a way of securing the habitat exploited by a heterospecific sympatric population. Cessation of feeding and more cohesive approach to mKW playbacks might reflect an antipredator behavior towards an unknown KW ecotype of potentially higher risk. We conclude that pilot whales are able to acoustically discriminate between familiar and unfamiliar KW ecotypes, enabling them to adjust their behavior according to the perceived disturbance type.


Assuntos
Percepção Auditiva , Aprendizagem por Discriminação , Ecótipo , Baleia Comum , Vocalização Animal , Orca , Baleias Piloto , Acústica , Animais , Baleia Comum/psicologia , Peixes , Som , Espectrografia do Som , Orca/psicologia
2.
J Acoust Soc Am ; 141(6): 4289, 2017 06.
Artigo em Inglês | MEDLINE | ID: mdl-28618811

RESUMO

The knowledge of the vocal repertoire of pilot whales is very limited. In this paper, the vocal repertoire of long-finned pilot whales recorded during different encounters in the Vestfjord in northern Norway between November 2006 and August 2010 are described. Sounds were analysed using two different methods: (1) an observer-based audio-visual inspection of FFT-derived spectrograms, with which, besides a general variety of clicks, buzzes, nonharmonic sounds, and whistles, 129 different distinct call types and 25 subtypes were distinguished. These call types included pulsed calls and discrete structured whistles varying from simple to highly complex structures composed of several segments and elements. In addition, ultrasonic whistles previously not described for pilot whales were found. In addition to the diversity of single calls, call sequences consisting of repetitions and combinations of specific call types were recorded and (2) a parametric approach that permitted the confirmation of the high variability in pilot whale call structures was developed. It is concluded that the pilot whale vocal repertoire is among the most complex for the mammalian species and the high structural variability, along with call repetitions and combinations, require a closer investigation to judge their importance for vocal communication.


Assuntos
Acústica , Ecolocação , Vocalização Animal/classificação , Baleias Piloto/classificação , Baleias Piloto/psicologia , Animais , Julgamento , Noruega , Processamento de Sinais Assistido por Computador , Espectrografia do Som , Especificidade da Espécie , Percepção Visual
3.
Phys Rev E ; 93(2): 022138, 2016 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-26986319

RESUMO

Recordings of animal vocalization can lack information about sender and context. This is often the case in studies on marine mammals or in the increasing number of automated bioacoustics monitorings. Here, we develop a framework to estimate group specificity without specific sender information. We introduce and apply a bag-of-calls-and-coefficients approach (BOCCA) to study ensembles of cepstral coefficients calculated from vocalization signals recorded from a given animal group. Comparing distributions of such ensembles of coefficients by computing relative entropies reveals group specific differences. Applying the BOCCA to ensembles of calls recorded from group of long-finned pilot whales in northern Norway, we find that differences of vocalizations within social groups of pilot whales (Globicephala melas) are significantly lower than intergroup differences.


Assuntos
Vocalização Animal , Animais , Entropia , Baleias Piloto
4.
Mol Ecol ; 20(3): 629-41, 2011 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-21241391

RESUMO

Population genetic structure of North Atlantic killer whale samples was resolved from differences in allele frequencies of 17 microsatellite loci, mtDNA control region haplotype frequencies and for a subset of samples, using complete mitogenome sequences. Three significantly differentiated populations were identified. Differentiation based on microsatellite allele frequencies was greater between the two allopatric populations than between the two pairs of partially sympatric populations. Spatial clustering of individuals within each of these populations overlaps with the distribution of particular prey resources: herring, mackerel and tuna, which each population has been seen predating. Phylogenetic analyses using complete mitogenomes suggested two populations could have resulted from single founding events and subsequent matrilineal expansion. The third population, which was sampled at lower latitudes and lower density, consisted of maternal lineages from three highly divergent clades. Pairwise population differentiation was greater for estimates based on mtDNA control region haplotype frequencies than for estimates based on microsatellite allele frequencies, and there were no mitogenome haplotypes shared among populations. This suggests low or no female migration and that gene flow was primarily male mediated when populations spatially and temporally overlap. These results demonstrate that genetic differentiation can arise through resource specialization in the absence of physical barriers to gene flow.


Assuntos
DNA Mitocondrial/genética , Frequência do Gene/genética , Especiação Genética , Variação Genética , Orca/genética , Animais , Análise por Conglomerados , Demografia , Feminino , Peixes/genética , Genótipo , Haplótipos , Masculino , Repetições de Microssatélites/genética , Filogenia , Análise de Sequência de DNA , Fatores de Tempo
6.
J Acoust Soc Am ; 115(2): 914-9, 2004 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-15000203

RESUMO

Conspicuous sonic click sounds were recorded in the presence of cod (Gadus morhua), together with either harp seals (Pagophilus groenlandicus), hooded seals (Cystophora cristata) or a human diver in a pool. Similar sounds were never recorded in the presence of salmon (Salmo salar) together with either seal species, or from either seal or fish species when kept separately in the pool. It is concluded that cod was the source of these sounds and that the clicks were produced only when cod were approached by a swimming predatorlike body. The analyzed click sounds (n = 377) had the following characteristics (overall averages +/- S.D.): peak frequency = 5.95 +/- 2.22 kHz; peak-to-peak duration = 0.70 +/- 0.45 ms; sound pressure level (received level) = 153.2 +/- 7.0 dB re 1 microPa at 1 m. At present the mechanism and purpose of these clicks is not known. However, the circumstances under which they were recorded and some observations on the behavior of the seals both suggest that the clicks could have a predator startling function.


Assuntos
Comunicação Animal , Peixes/fisiologia , Espectrografia do Som , Vocalização Animal/fisiologia , Animais , Ecolocação/fisiologia , Mascaramento Perceptivo/fisiologia , Comportamento Predatório/fisiologia , Focas Verdadeiras/fisiologia , Processamento de Sinais Assistido por Computador , Software , Estatísticas não Paramétricas
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