Results 41 to 50 of about 5,019 (213)

Quantifying Migratory Bat Movements in Central Europe Across Seasons and Years Using a Vertical‐Looking Radar

Remote Sensing in Ecology and Conservation, EarlyView.
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, Janine Aschwanden, Damiano G. Preatoni, Fabian Hertner, Birgen Haest, Baptiste Schmid   +5 more
wiley   +1 more source

Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
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, François Poisson, Irati Abascal, Javier Menéndez‐Blázquez, Clara Cánovas Pérez, Sofia Conti, Ricardo Sagarminaga, Juan Antonio Raga, David March   +8 more
wiley   +1 more source

The ultrasonic nonlinearity parameter for biological media

Archives of Acoustics, 2015
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  

Sperm whales in the waters off China: A glimpse of the past and present

Water Biology and Security, 2023
Spatiotemporal information is crucial for cetacean research and conservation, particularly for wide-ranging and migratory species. Sperm whales (Physeter macrocephalus) are distributed worldwide in deep oceans; however, little is known about the species ...
Mingming Liu, Mingli Lin, Songhai Li
doaj   +1 more source

Passive Acoustic Identification of Social Groups in the Hainan Gibbon

Remote Sensing in Ecology and Conservation, EarlyView.
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, Emmanuel Dufourq, Nonhlanhla L. Luphade, Samuel T. Turvey, Heidi Ma, Susan M. Cheyne, Hui Liu, Jessica V. Bryant, Qing Chen, Wenyong Li, Zhiwei Liu, Zhaoli Zhou, Stefan Britz, Bubacarr Bah, Ian Durbach   +14 more
wiley   +1 more source

Widespread Bomb Fishing in Indo‐Pacific Archipelago Revealed Through Machine Learning Accelerated Passive Acoustic Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
AI‐accelerated passive acoustic monitoring reveals extensive bomb fishing within the Spermonde Archipelago, with annual incidents numbering in the thousands. ABSTRACT Bomb fishing is recognised as the most destructive fishing practice that can be performed in our oceans.
Ben Williams, Mars Coral Restoration Project Monitoring Team, Aimee du Luart, Sonny Burniston, Tries B. Razak, Timothy A. C. Lamont, David J. Smith, Jamaluddin Jompa, David Curnick, Kate E. Jones   +9 more
wiley   +1 more source

Vocal usage learning and vocal comprehension learning in harbor seals

BMC Neuroscience
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, Yannick Jadoul, Andrea Ravignani   +2 more
doaj   +1 more source

Paradigms and Principles for Integrating Nature Technology Data: Challenges, Opportunities, and Next Steps in Real‐World Biodiversity Monitoring

Remote Sensing in Ecology and Conservation, EarlyView.
We propose a set of paradigms (survey design, tip and cue, validation, consilience, interpolation and extrapolation, and data fusion) and prioritize a set of principles (metadata standards, use rights and licensing, scientific rigor, and utility) as the foundations of an actionable framework for nature technology data integration. We then analyze seven
Seamus Lombardo, Amy Rosenthal, Christopher Anderson, Ken Bagstad, Carly Batist, Christopher Beirne, Paul Bunje, Marconi Campos‐Cerqueira, Jeremy Cusack, Elsa Carla De Grandi, Rachel King, Trond Larsen, David Luther, Jennifer McGowan, Adrien Pajot, Xavier Raick, Vijay Ramesh, Chelsea Smith, Ali Swanson, Tom Walker   +19 more
wiley   +1 more source

Few Annotations, High Accuracy: Transfer Learning and Data Augmentation Improve Passive Acoustic Monitoring of the Vulnerable African Manatee

Remote Sensing in Ecology and Conservation, EarlyView.
Can deep learning reliably detect a threatened species in passive acoustic monitoring with few annotations? Across 52 sites and 600 recording days, we compared two deep learning recognizers with the traditional machine learning Kaleidoscope for detecting African manatee vocalizations.
Lucas Dubus, Auguste Verdier, Nina Giotto, Grace Mbemba, Gabriel Michelin, Baptiste Mulot, Stéphanie Manel, David Mouillot   +7 more
wiley   +1 more source

Repurposing Bird‐Based Acoustic Models for Amphibian Surveys: Strengths and Limitations in Real‐World Deployments

Remote Sensing in Ecology and Conservation, EarlyView.
In this study, we developed AnuraSearch, an open‐source classifier for 11 Ukrainian amphibian species, by repurposing the avian BirdNET algorithm via transfer learning to process over 18,000 h of autonomous acoustic recordings. Although the model demonstrated high precision and successfully reconstructed detailed seasonal and diel vocal activity ...
Vasylyna Strus, Yurii Strus, Nazar Smirnov, Anna Fedorova, Nataliia Suriadna, Mykola Drohvalenko   +5 more
wiley   +1 more source