Results 41 to 50 of about 4,775 (196)
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean
The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu +5 more
wiley +1 more source
Vertical‐looking radar provides a first multi‐year analysis of migratory bat phenology in Europe. Bat activity was lowest in winter, increased from spring, and peaked in summer, with similar timing of pre‐ and post‐maternity migrations across years.
Silvia Giuntini +5 more
wiley +1 more source
The ultrasonic nonlinearity parameter for biological media
The nonlinearity parameter B/A of several soft tissues was measured using two independent methods. The B/A values of most soft tissues were found to be between 7 and 8, with the exception of fat which has a B/A value close to 11.
F. DUNN, W. K. LAW, L. A. FRIZZELL
doaj
Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite +8 more
wiley +1 more source
Vocal usage learning and vocal comprehension learning in harbor seals
Background Which mammals show vocal learning abilities, e.g., can learn new sounds, or learn to use sounds in new contexts? Vocal usage and comprehension learning are submodules of vocal learning.
Diandra Duengen +2 more
doaj +1 more source
Passive Acoustic Identification of Social Groups in the Hainan Gibbon
Passive acoustic monitoring offers a non‐invasive means of assessing visually hard‐to‐survey wildlife species with distinctive vocalizations. We evaluated whether deep learning can identify Hainan gibbon (Nomascus hainanus) social groups from their calls.
Emmanuel Kabuga +14 more
wiley +1 more source
Multiple management strategies exist to combat bird damage to agriculture. We explored combining two tools, drones as frightening devices and an avian repellent, to assess effectiveness of an integrated method to deter large flocks on complex landscapes. We evaluated the ability of a spraying drone (DJI Agras MG‐1P) deploying Avian Control (i.e. active
Jessica L. Duttenhefner +2 more
wiley +1 more source
The voice from the hereafter: vocalisations in three species of Atelopus from the Venezuelan Andes, likely to be extinct [PDF]
Atelopus is a species-rich group of Neotropical bufonids. Present knowledge on bioacoustics in this genus is relatively poor, as vocalisations have been described in only about one fifth of the ca. 100 species known.
Stefan Lötters +4 more
doaj +3 more sources
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
Many nocturnal animals are difficult to study because they are rarely seen, including nocturnal primates, galagos and pottos, in West Africa. Working with over 600 people in 52 villages in southern Guinea‐Bissau, we found that communities frequently recognized galagos by their red eyeshine and distinctive calls, while pottos were not known.
Chloe Chesney +6 more
wiley +1 more source

