Acoustic detection and location of blue whales (Balaenoptera musculus) from SOSUS data by matched filtering

1994 ◽  
Vol 96 (5) ◽  
pp. 3250-3251 ◽  
Author(s):  
Kathleen M. Stafford ◽  
Christopher G. Fox ◽  
Bruce R. Mate
2015 ◽  
Vol 1 (9) ◽  
pp. e1500469 ◽  
Author(s):  
Elliott Lee Hazen ◽  
Ari Seth Friedlaender ◽  
Jeremy Arthur Goldbogen

Terrestrial predators can modulate the energy used for prey capture to maximize efficiency, but diving animals face the conflicting metabolic demands of energy intake and the minimization of oxygen depletion during a breath hold. It is thought that diving predators optimize their foraging success when oxygen use and energy gain act as competing currencies, but this hypothesis has not been rigorously tested because it has been difficult to measure the quality of prey that is targeted by free-ranging animals. We used high-resolution multisensor digital tags attached to foraging blue whales (Balaenoptera musculus) with concurrent acoustic prey measurements to quantify foraging performance across depth and prey density gradients. We parameterized two competing physiological models to estimate energy gain and expenditure based on foraging decisions. Our analyses show that at low prey densities, blue whale feeding rates and energy intake were low to minimize oxygen use, but at higher prey densities feeding frequency increased to maximize energy intake. Contrary to previous paradigms, we demonstrate that blue whales are not indiscriminate grazers but instead switch foraging strategies in response to variation in prey density and depth to maximize energetic efficiency.


2018 ◽  
Vol 5 (1) ◽  
pp. 170925 ◽  
Author(s):  
Catherine R. M. Attard ◽  
Luciano B. Beheregaray ◽  
Jonathan Sandoval-Castillo ◽  
K. Curt S. Jenner ◽  
Peter C. Gill ◽  
...  

Genetic datasets of tens of markers have been superseded through next-generation sequencing technology with genome-wide datasets of thousands of markers. Genomic datasets improve our power to detect low population structure and identify adaptive divergence. The increased population-level knowledge can inform the conservation management of endangered species, such as the blue whale ( Balaenoptera musculus ). In Australia, there are two known feeding aggregations of the pygmy blue whale ( B. m. brevicauda ) which have shown no evidence of genetic structure based on a small dataset of 10 microsatellites and mtDNA. Here, we develop and implement a high-resolution dataset of 8294 genome-wide filtered single nucleotide polymorphisms, the first of its kind for blue whales. We use these data to assess whether the Australian feeding aggregations constitute one population and to test for the first time whether there is adaptive divergence between the feeding aggregations. We found no evidence of neutral population structure and negligible evidence of adaptive divergence. We propose that individuals likely travel widely between feeding areas and to breeding areas, which would require them to be adapted to a wide range of environmental conditions. This has important implications for their conservation as this blue whale population is likely vulnerable to a range of anthropogenic threats both off Australia and elsewhere.


2010 ◽  
Vol 11 (6) ◽  
pp. 2437-2441 ◽  
Author(s):  
Catherine R. M. Attard ◽  
Luciano B. Beheregaray ◽  
Curt Jenner ◽  
Peter Gill ◽  
Micheline Jenner ◽  
...  

2014 ◽  
Author(s):  
Alessandro Bocconcelli ◽  
Leigh S. Hickmott ◽  
Rafaela Landea Briones ◽  
Gloria Howes ◽  
Laela S. Sayigh

2006 ◽  
Vol 319 ◽  
pp. 287-295 ◽  
Author(s):  
C Ramp ◽  
M Bérubé ◽  
W Hagen ◽  
R Sears

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Alessandra Rocha ◽  
Camila Marchetto ◽  
Luiza Pacheco ◽  
Eduardo Resende Secchi

2016 ◽  
Vol 38 (2) ◽  
pp. 279-284 ◽  
Author(s):  
R Barber ◽  
I Sikora ◽  
M Nimak-Wood

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