Genomic analyses reveal an absence of contemporary introgressive admixture between fin whales and blue whales, despite known hybrids.

Fin whales (Balaenoptera physalus) and blue whales (B. musculus) are the two largest species on Earth and are widely distributed across the world's oceans. Hybrids between these species appear to be relatively widespread and have been reported in both the North Atlantic and North Pacific; they are also relatively common, and have been proposed to occur once in every thousand fin whales. However, despite known hybridization, fin and blue whales are not sibling species. Rather, the closest living relative of fin whales are humpback whales (Megaptera novaeangliae). To improve the quality of fin whale data available for analysis, we assembled and annotated a fin whale nuclear genome using in-silico mate pair libraries and previously published short-read data. Using this assembly and genomic data from a humpback, blue, and bowhead whale, we investigated whether signatures of introgression between the fin and blue whale could be found. We find no signatures of contemporary admixture in the fin and blue whale genomes, although our analyses support ancestral gene flow between the species until 2.4-1.3 Ma. We propose the following explanations for our findings; i) fin/blue whale hybridization does not occur in the populations our samples originate from, ii) contemporary hybrids are a recent phenomenon and the genetic consequences have yet to become widespread across populations, or iii) fin/blue whale hybrids are under large negative selection, preventing them from backcrossing and contributing to the parental gene pools.

The echolocation transmission beam of free-ranging Indo-Pacific humpback dolphins (Sousa chinensis).

While the transmission beam of odontocetes has been described in a number of studies, the majority of them that have measured the transmission beam in two dimensions were focused on captive animals. Within the current study, a dedicated cross hydrophone array with nine elements was used to investigate the echolocation transmission beam of free-ranging Indo-Pacific humpback dolphins. A total of 265 on-axis clicks were analyzed, from which the apparent peak to peak source levels ranged between 168 to 207 dB (mean 184.5 dB ± 6.6 dB). The 3-dB beam width along the horizontal and vertical plane was 9.6° and 7.4°, respectively. Measured separately, the directivity index of the horizontal and vertical plane was 12.6 and 13.5 dB, respectively, and the overall directivity index (both planes combined) was 29.5 dB. The beam shape was slightly asymmetrical along the horizontal and vertical axis. Compared to other species, the characteristics of the transmitting beam of Indo-Pacific humpback dolphins were relatively close to the bottlenose dolphin (Tursiops truncatus), likely due to the similarity in the peak frequency and waveform of echolocation clicks and comparable body sizes of the two species.

A blind source separation approach for humpback whale song separation.

Many marine mammal species are highly social and are frequently encountered in groups or aggregations. When conducting passive acoustic monitoring in such circumstances, recordings commonly contain vocalizations of multiple individuals which overlap in time and frequency. This paper considers the use of blind source separation as a method for processing these recordings to separate the calls of individuals. The example problem considered here is that of the songs of humpback whales. The high levels of noise and long impulse responses can make source separation in underwater contexts a challenging proposition. The approach present here is based on time-frequency masking, allied to a noise reduction process. The technique is assessed using simulated and measured data sets, and the results demonstrate the effectiveness of the method for separating humpback whale songs.

Potential motivational information encoded within humpback whale non-song vocal sounds.

Acoustic signals in terrestrial animals follow motivational-structural rules to inform receivers of the signaler's motivational state, valence and level of arousal. Low-frequency "harsh" signals are produced in aggressive contexts, whereas high-frequency tonal sounds are produced in fearful/appeasement contexts. Using the non-song social call catalogue of humpback whales (Megaptera novaeangliae), this study tested for potential motivational-structural rules within the call catalogue of a baleen whale species. A total of 32 groups within different social contexts (ranging from stable, low arousal groups, such as a female with her calf, to affiliating, higher arousal, groups containing multiple males competing for access to the central female) were visually and acoustically tracked as they migrated southwards along the eastern coast of Australia. Social calls separated into four main cluster types, with signal structures in two categories consistent with "aggressive" signals and, "fearful/appeasement" signals in terrestrial animals. The group's use of signals within these clusters matched their context in that presumed low arousal non-affiliating groups almost exclusively used "low-arousal" signals (a cluster of low frequency unmodulated or upsweep sounds). Affiliating groups used a higher proportion of an intermediate cluster of signal types deemed "higher arousal" signals and groups containing three or more adults used a higher proportion of "aggressive" signal types.

Diversidad de cetáceos en el paisaje marino costeros de Golfo Dulce, Península de Osa, Costa Rica / Diversity of cetaceans in coastal seascape Golfo Dulce, Osa Peninsula, Costa Rica

Resumen Golfo Dulce es un estuario en forma de fiordo, localizado en el Pacífico Sur de Costa Rica. Este ecosistema marino-costero contiene una importante biodiversidad marina que incluye cetáceos. Este estudio describe la estructura de la comunidad de cetáceos en Golfo Dulce, sustentado en la diversidad de hábitats. Datos sobre avistamientos colectados en muestreos periódicos sistemáticos, han resultado en 943 registros (2005-2014≈3 490h≈64 533km) de siete especies de la familia Delphinidae, una Balaenopteridae y una especie de la familia Kogiidae. Se observa un gradiente en la diversidad de cetáceos desde la cuenca interna de Golfo Dulce hasta la zona de transición- oceánica en la entrada al Golfo. La dominancia se establece por la forma costera del delfín nariz de botella y el delfín manchado en la cuenca interna, mientras que T. truncatus junto con ballenas jorobadas migrantes ejercen la dominancia en el área del Umbral. El área transicional oceánica sostiene la mayor diversidad, dominada por especies de delfínidos de naturaleza piscívora, incluyendo la forma oceánica del delfín nariz de botella y la subespecie "Centroamericana" del delfín tornillo. Nosotros proponemos la hipótesis de una forma potencial particular del delfín manchado pantropical para Golfo Dulce, en contraste con S. attenuatta graffmani en aguas abiertas costeras del Pacífico Costarricense. El patrón de la estructura comunitaria de cetáceos se establece por la dinámica en uso de área por las especies presentes, lo cual debería ser considerado para el diseño de estrategias de manejo y conservación.

Abstract Golfo Dulce is a fiord-lilke embayment located in the southern Pacific of Costa Rica, this coastal-marine ecosystem harbors an important wealth in marine biodiversity, including cetaceans. In this study we describe the cetacean community of Golfo Dulce, in relation to the diversity of habitats constituting the seascape. Sighting data collected in periodic systematic surveys has yielded 943 records (2005-2014≈3 490h≈64 533km), of 12 species of cetaceans. A gradient of cetacean diversity is observed from the inner basin to the transitional-oceanic area at the entrance of the Gulf, with coastal bottlenose dolphin and spotted dolphin dominating the inner basin, and bottlenose dolphins and migratory humpback whales the sill area. Transitional oceanic habitat holds the greatest species diversity dominated by oceanic species, particularly piscivorous delphinids, including the off-shore form of bottlenose dolphins and the "Central American" spinner dolphin. We hypothesize the potential occurrence of a morphotype of pantropical spotted dolphins within Golfo Dulce, in contrast with S. attenuatta graffmani outside in open Pacific coastal waters. The pattern of cetacean community structure is established by the dynamic of area use by the species, which should be considered for the establishment of management and conservation strategies. Rev. Biol. Trop. 63 (2): 395-406. Epub 2015 June 01.

The world's most isolated and distinct whale population? Humpback whales of the Arabian Sea.

A clear understanding of population structure is essential for assessing conservation status and implementing management strategies. A small, non-migratory population of humpback whales in the Arabian Sea is classified as "Endangered" on the IUCN Red List of Threatened Species, an assessment constrained by a lack of data, including limited understanding of its relationship to other populations. We analysed 11 microsatellite markers and mitochondrial DNA sequences extracted from 67 Arabian Sea humpback whale tissue samples and compared them to equivalent datasets from the Southern Hemisphere and North Pacific. Results show that the Arabian Sea population is highly distinct; estimates of gene flow and divergence times suggest a Southern Indian Ocean origin but indicate that it has been isolated for approximately 70,000 years, remarkable for a species that is typically highly migratory. Genetic diversity values are significantly lower than those obtained for Southern Hemisphere populations and signatures of ancient and recent genetic bottlenecks were identified. Our findings suggest this is the world's most isolated humpback whale population, which, when combined with low population abundance estimates and anthropogenic threats, raises concern for its survival. We recommend an amendment of the status of the population to "Critically Endangered" on the IUCN Red List.

Automated aural classification used for inter-species discrimination of cetaceans.

Passive acoustic methods are in widespread use to detect and classify cetacean species; however, passive acoustic systems often suffer from large false detection rates resulting from numerous transient sources. To reduce the acoustic analyst workload, automatic recognition methods may be implemented in a two-stage process. First, a general automatic detector is implemented that produces many detections to ensure cetacean presence is noted. Then an automatic classifier is used to significantly reduce the number of false detections and classify the cetacean species. This process requires development of a robust classifier capable of performing inter-species classification. Because human analysts can aurally discriminate species, an automated aural classifier that uses perceptual signal features was tested on a cetacean data set. The classifier successfully discriminated between four species of cetaceans-bowhead, humpback, North Atlantic right, and sperm whales-with 85% accuracy. It also performed well (100% accuracy) for discriminating sperm whale clicks from right whale gunshots. An accuracy of 92% and area under the receiver operating characteristic curve of 0.97 were obtained for the relatively challenging bowhead and humpback recognition case. These results demonstrated that the perceptual features employed by the aural classifier provided powerful discrimination cues for inter-species classification of cetaceans.

A real-time method for autonomous passive acoustic detection-classification of humpback whales.

This paper describes a method for real-time, autonomous, joint detection-classification of humpback whale vocalizations. The approach adapts the spectrogram correlation method used by Mellinger and Clark [J. Acoust. Soc. Am. 107, 3518-3529 (2000)] for bowhead whale endnote detection to the humpback whale problem. The objective is the implementation of a system to determine the presence or absence of humpback whales with passive acoustic methods and to perform this classification with low false alarm rate in real time. Multiple correlation kernels are used due to the diversity of humpback song. The approach also takes advantage of the fact that humpbacks tend to vocalize repeatedly for extended periods of time, and identification is declared only when multiple song units are detected within a fixed time interval. Humpback whale vocalizations from Alaska, Hawaii, and Stellwagen Bank were used to train the algorithm. It was then tested on independent data obtained off Kaena Point, Hawaii in February and March of 2009. Results show that the algorithm successfully classified humpback whales autonomously in real time, with a measured probability of correct classification in excess of 74% and a measured probability of false alarm below 1%.