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Detection and identification of species, subspecies or stocks of whales, dolphins and porpoises at sea remain challenging, particularly for cryptic or elusive species like beaked whales (Family: Ziphiidae). Here we investigated the potential for using an acoustically assisted sampling design to collect environmental (e)DNA from beaked whales on the U.S. Navy's Atlantic Undersea Test and Evaluation Center (AUTEC) in The Bahamas. During 12 days of August 2019, we conducted 9 small-boat surveys and collected 56 samples of seawater (paired subsamples of 1L each, including controls) using both a spatial collection design in the absence of visual confirmation of whales, and a serial collection design in the proximity of whales at the surface. There were 7 sightings of whales, including 11 Blainville's beaked whales (Mesoplodon densirostris). All whales were located initially with the assistance of information from a bottom-mounted acoustic array available on the AUTEC range. Quantification by droplet digital (dd)PCR from the four spatial design collections showed no samples of eDNA above the threshold of detection and none of these 20 samples yielded amplicons for conventional or next-generation sequencing. Quantification of the 31 samples from four serial collections identified 11 likely positive detections. eDNA barcoding by conventional sequencing and eDNA metabarcoding by next-generation sequencing confirmed species identification for 9 samples from three of the four serial collections. We further resolved five intra-specific variants (i.e., haplotypes), two of which showed an exact match to previously published haplotypes and three that have not been reported previously to the international repository, GenBank. A minimum spanning network of the five eDNA haplotypes, with all other published haplotypes of Blainville's beaked whales, suggested the potential for further resolution of differences between oceanic populations.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0291187 | PLOS |
J Acoust Soc Am
September 2025
NATO Centre for Maritime Research and Experimentation, La Spezia 19126, Italy.
The Atlantification of the Arctic is driving a northward habitat shift of many cetaceans, including sperm whales (Physeter macrocephalus). As Arctic warming continues to decrease sea ice extent and contributes to the change in species distributions, it is crucial to study how the distribution patterns, habitat, and the demographic structure of sperm whale populations may continue to change. In this study, we assess the temporal presence of echolocating sperm whales on the continental slope southwest of the Svalbard archipelago and compare it with acoustic backscatter and temperature as a proxy for biomass.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
Instituto Aqualie, Juiz de Fora, MG 36036-330, Brazil.
Beaked whales, deep-diving cetaceans from the family Ziphiidae, exhibit cryptic behaviors, and data on these species in Brazilian waters are limited to strandings and isolated sightings. This study characterizes the occurrence and acoustic behavior of beaked whales in the Foz do Amazonas Basin using combined visual and passive acoustic monitoring along the Brazilian Equatorial Margin. Audio files were analyzed to identify clicks with frequency-modulated pulses, a diagnostic characteristic of beaked whales.
View Article and Find Full Text PDFPLoS One
September 2025
Marine Mammal and Turtle Division, Southeast Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Miami, Florida, United States of America.
The Rice's whale is among the world's most endangered whales. It has a small population size, low genetic diversity, and is exposed to several anthropogenic threats. In this study, we compiled photographs taken from whale sightings during vessel-based research surveys conducted by the U.
View Article and Find Full Text PDFPLoS One
September 2025
Faculty of Applied Sciences, Macao Polytechnic University, Macao, China.
Whale Optimization Algorithm (WOA) suffers from issues such as premature convergence, low population diversity in the later stages of iteration, slow convergence rate, low convergence accuracy, and an imbalance between exploration and exploitation. Thus, an enhanced Whale Optimization Algorithm (LSWOA) based on multiple strategies is proposed, aiming to overcome the limitations of the canonical WOA. The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm's ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed.
View Article and Find Full Text PDFPLoS One
September 2025
Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China.
This paper analyzes the shortcomings of the traditional Whale Optimization Algorithm (WOA), mainly including the tendency to fall into local optima, slow convergence speed, and insufficient global search ability for high-dimensional and complex optimization problems. An improved Whale Optimization Algorithm (GWOA) is proposed to overcome these issues. By integrating several improvement strategies, such as adaptive parameter adjustment, enhanced prey encircling, and sine-cosine search strategies, GWOA significantly enhances global search ability and convergence efficiency.
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