scholarly journals Cetacean occurrence in the Gulf of Alaska from long-term passive acoustic monitoring

2021 ◽  
Vol 168 (5) ◽  
Author(s):  
Ally Rice ◽  
Ana Širović ◽  
Jennifer S. Trickey ◽  
Amanda J. Debich ◽  
Rachel S. Gottlieb ◽  
...  

AbstractThe Gulf of Alaska is an important habitat for a diverse array of marine mammals, many of which were severely depleted by historical whaling. To study current cetacean distributions in this region, passive acoustic monitoring was used to detect species-specific call types between 2011 and 2015 at five locations spanning the continental shelf, slope, and offshore seamounts. Spatial and temporal detection patterns were examined for nine species to compare differences in behavior and habitat use. Mysticetes showed seasonal increases in calling that indicated possible behavioral shifts between feeding and breeding in blue (Balaenoptera musculus), fin (B. physalus), and humpback (Megaptera novaeangliae) whales, and matched known migration timing of gray whales (Eschrichtius robustus). Interannual changes in blue and fin whale calling may relate to the marine heat wave that began in 2013 and lasted through the end of the monitoring period. Odontocete detections revealed unique spatial distributions, with killer whales (Orcinus orca) most common on the continental shelf and sperm whales (Physeter macrocephalus) most common on the continental slope, where detections occurred year-round. Beaked whales showed both spatial and temporal separation: Baird’s beaked whale (Berardius bairdii) detections were highest at Quinn Seamount in the spring, Cuvier’s (Ziphius cavirostris) at Pratt Seamount in winter, and Stejneger’s (Mesoplodon stejnegeri) on the continental slope in the fall. The year-round presence of many species highlights the ecological importance of the Gulf of Alaska and the spatiotemporal information reported here should inform future conservation efforts.

2021 ◽  
Vol 168 (8) ◽  
Author(s):  
Ally Rice ◽  
Amanda J. Debich ◽  
Ana Širović ◽  
Erin M. Oleson ◽  
Jennifer S. Trickey ◽  
...  

AbstractA variety of cetacean species inhabit the productive waters offshore of Washington State, USA. Although the general presence of many of these species has been documented in this region, our understanding of fine-scale habitat use is limited. Here, passive acoustic monitoring was used to investigate the spatial and temporal distributions of ten cetacean species at three locations offshore of Washington. Between 2004 and 2013, a total of 2845 days of recordings were collected from sites on the continental shelf and slope, and in a submarine canyon. Acoustic presence was higher for all species at sites farther offshore. Detections were highest during the fall and winter for blue (Balaenoptera musculus), fin (B. physalus), and humpback whales (Megaptera novaeangliae), likely related to reproductive behavior, while minke whales (B. acutorostrata) were only detected on two days. Odontocetes showed temporal separation, with sperm whale (Physeter macrocephalus) detections highest in spring, Risso’s (Grampus griseus) and Pacific white-sided dolphins (Lagenorhynchus obliquidens) highest in summer, and Stejneger’s beaked whales (Mesoplodon stejnegeri), Cuvier’s beaked whales (Ziphius cavirostris), and the BW37V signal type highest in winter or spring. There was interannual variation in detections for most mysticete species, which may be linked to oceanographic conditions: blue and fin whale detections increased during 2007 and 2008, and fin and humpback whale detections increased in 2011. These results inform our understanding of cetacean behavior and habitat use in this region and may aid in the development of conservation strategies suited to the dynamic conditions that drive cetacean distribution.


2018 ◽  
Vol 590 ◽  
pp. 247-266 ◽  
Author(s):  
CE Malinka ◽  
DM Gillespie ◽  
JDJ Macaulay ◽  
R Joy ◽  
CE Sparling

2013 ◽  
Vol 134 (5) ◽  
pp. 4045-4045
Author(s):  
Cara F. Hotchkin ◽  
Mandy Shoemaker ◽  
Anurag Kumar ◽  
Carl Hager ◽  
David MacDuffee ◽  
...  

2014 ◽  
Vol 136 (4) ◽  
pp. 2246-2246
Author(s):  
Tina M. Yack ◽  
Thomas F. Norris ◽  
Elizabeth Ferguson ◽  
Brenda K. Rone ◽  
Alexandre N. Zerbini

2011 ◽  
Vol 129 (4) ◽  
pp. 2639-2639
Author(s):  
Shane Guan ◽  
Claudio Fossati ◽  
Gianni Pavan ◽  
Giovanni Caltavuturo

2021 ◽  
Vol 9 (7) ◽  
pp. 685
Author(s):  
Rafael Aguiar ◽  
Gianluca Maguolo ◽  
Loris Nanni ◽  
Yandre Costa ◽  
Carlos Silla

Passive acoustic monitoring (PAM) is a noninvasive technique to supervise wildlife. Acoustic surveillance is preferable in some situations such as in the case of marine mammals, when the animals spend most of their time underwater, making it hard to obtain their images. Machine learning is very useful for PAM, for example to identify species based on audio recordings. However, some care should be taken to evaluate the capability of a system. We defined PAM filters as the creation of the experimental protocols according to the dates and locations of the recordings, aiming to avoid the use of the same individuals, noise patterns, and recording devices in both the training and test sets. It is important to remark that the filters proposed here were not intended to improve the accuracy rates. Indeed, these filters tended to make it harder to obtain better rates, but at the same time, they tended to provide more reliable results. In our experiments, a random division of a database presented accuracies much higher than accuracies obtained with protocols generated with PAM filters, which indicates that the classification system learned other components presented in the audio. Although we used the animal vocalizations, in our method, we converted the audio into spectrogram images, and after that, we described the images using the texture. These are well-known techniques for audio classification, and they have already been used for species classification. Furthermore, we performed statistical tests to demonstrate the significant difference between the accuracies generated with and without PAM filters with several well-known classifiers. The configuration of our experimental protocols and the database were made available online.


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