Results 111 to 120 of about 31,004 (226)

Non‐Physical Barrier Design and Environmental Conditions Alter Routing and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in the Sacramento‐San Joaquin River Delta

River Research and Applications, Volume 42, Issue 7, Page 1551-1561, September 2026.
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin, Summer M. Burdick, Russell W. Perry   +2 more
wiley   +1 more source

Local Ecological Knowledge Reveals the Distribution of Cryptic Nocturnal Wildlife 局域生态知识揭示隐秘夜行野生动物的分布

Wildlife Letters, Volume 4, Issue 3, Page 118-130, September 2026.
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, Iaia Tawél Camará, Mamadu Cassamá, Amélia Frazão‐Moreira, Tânia Minhós, Kimberley J. Hockings, Elena Bersacola   +6 more
wiley   +1 more source

Occurrence of Bryde's and Fin Whale Calls and Their Temporal Overlap With Anthropogenic Noise Off El Hierro, Canary Islands (April 2018)

Marine Mammal Science, Volume 42, Issue 4, October 2026.
Susannah J. Buchan, Jesús Alcázar‐Treviño, Miriam Romagosa, Eugenio Fraile Nuez   +3 more
wiley   +1 more source

ESO: An evolutionary algorithm for efficient model reduction via automated frequency band selection in passive acoustic monitoring

Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2645-2662, September 2026.
Abstract Passive acoustic monitoring (PAM) is an important tool for wildlife monitoring. Deep learning, particularly convolutional neural networks (CNNs), has become the standard approach for developing bioacoustic classifiers. However, real‐time classification remains challenging due to the high computational complexity of these models and the need ...
Lorène Jeantet, Ufuk Çakır, Joel Lontsi, Albert Agisha, Emmanuel Dufourq   +4 more
wiley   +1 more source

Animal hunt: bioacoustics animal recognition application

This project aims to create a bioacoustics classification model that can be used for real- time identification of animals based on their sounds in mobile applications. The first part of the project will focus on developing a bioacoustics classification
Low, Ren Hwa
core  

Underwater bioacoustics : behavioural, environmental and evolutionary perspectives.

, 1997
Preface to the proceedings of the International Workshop "Underwater Bioacoustics: Behavioural, Environmental & Evolutionary Perspectives" organized by the International School of Ethology (Centro Ettore Majorana, Erice, 4-9 Novembre 1994)
Lugli M., Fine M. L., Fine M.L., FINE M., PAVAN, GIANNI, Pavan G., Torricelli P., Mainardi D., TORRICELLI, Patrizia   +8 more
core  

Prototyping an internet-of-things-based bioacoustics system to support research and surveillance of avian-associated infectious diseases

Sensing and Bio-Sensing Research
Zoonotic infectious diseases and cross-species pathogen spillover are driven by biodiversity and spatio-temporal ecological interactions. Generating high-resolution data to approximate the presence and absence of animals and their mobility, density, and ...
Marina Treskova, Hammad Aamer, Harald Mack, Magnus Wahlberg, Omid Airom, Senani Dayabandara, Claudia M. Denkinger, Eric Diener, Peter Fransson, Julian Heidecke, Inga Ulusoy, Joacim Rocklöv   +11 more
doaj   +1 more source

Contrastive ecoacoustic indices: Large‐scale global soundscape characterization with contrastive inference

Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2663-2682, September 2026.
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut, Sylvain Haupert, Lorenzo Dubois, Ludovic Crochard, Frédéric Azémar, Ángel G. Guevara, Patricia Balaresque, Jérôme Sueur   +7 more
wiley   +1 more source

Warm temperatures and severe fire drive a range contraction of an avian old-forest specialist in the Sierra Nevada, USA

Frontiers in Bird Science
In recent decades, climate change has exerted detrimental effects on forest ecosystems and the biodiversity they harbor, in part via the combined effects of rising temperatures and changing disturbance regimes. Old-forest species may be acutely sensitive
Luca Bielski, Spencer R. Keyser, M. Zachariah Peery, Connor M. Wood   +3 more
doaj   +1 more source

Novel class identification: A human‐in‐the‐loop approach for efficient species recognition in bioacoustic data

Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2683-2700, September 2026.
Abstract Passive acoustic monitoring (PAM) is widely used to collect large‐scale wildlife data encompassing many species, but efficiently identifying all species—particularly rare and potentially endangered ones—without exhaustive manual examination of the entire dataset remains a major challenge.
Hannes Kath, Thiago S. Gouvêa, Daniel Sonntag   +2 more
wiley   +1 more source