Detection of a stress related acoustic signature by passive acoustic monitoring in Atlantic salmon farming DOI Creative Commons
Kristbjörg Edda Jónsdóttir,

John Reidar Mathiassen,

Eirik Svendsen

и другие.

Aquacultural Engineering, Год журнала: 2024, Номер 107, С. 102472 - 102472

Опубликована: Окт. 9, 2024

Язык: Английский

Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network DOI Open Access
Seth McCammon, Nathan Formel, Sierra Jarriel

и другие.

The Journal of the Acoustical Society of America, Год журнала: 2025, Номер 157(3), С. 1665 - 1683

Опубликована: Март 1, 2025

The quantity of passive acoustic data collected in marine environments is rapidly expanding; however, the software developments required to meaningfully process large volumes soundscape have lagged behind. A significant bottleneck analysis biological patterns datasets human effort identify and annotate individual events, such as diverse abundant fish sounds. This paper addresses this problem by training a YOLOv5 convolutional neural network (CNN) automate detection tonal pulsed calls spectrogram from five tropical coral reefs U.S. Virgin Islands, building over 22 h annotated with 55 015 calls. identified mean average precision up 0.633, while processing 25× faster than it recorded. We compare CNN annotators on datasets, including three used for two untrained reefs. CNN-detected call rates reflected baseline reef cover observations; both expected (e.g., crepuscular choruses) novel were identified. Given importance reef-fish communities, their bioacoustic patterns, impending biodiversity crisis, these results provide vital scalable means assess community health.

Язык: Английский

Процитировано

0

Mapping the Structure and Evolution of Fish Bio‐ and Ecoacoustics; From Single Species Studies to Biodiversity Monitoring DOI Creative Commons
Marta Bolgan

Fish and Fisheries, Год журнала: 2025, Номер unknown

Опубликована: Апрель 19, 2025

ABSTRACT This review examines the progression of fish bioacoustics and ecoacoustics, with a focus on growing application Passive Acoustic Monitoring (PAM) as non‐invasive tool for assessing biodiversity. As environmental conservation goals intensify globally, particularly initiatives such Biodiversity Net Gain, need effective methods to monitor aquatic biodiversity has become increasingly critical. PAM provides scalable approach tracking species, community structures population dynamics across diverse habitats, addressing many limitations traditional monitoring techniques. By cataloguing species‐specific acoustic signatures, enables long‐term biodiversity, which is crucial in remote dynamic environments. Despite ongoing challenges – distinguishing species overlapping niches, managing large datasets ensuring precise classification sound types recent advancements artificial intelligence offer promising solutions. These technologies help balance trade‐off between analytical efficiency ecological biological significance necessary management conservation. presents an overview thematic structure temporal evolution field ecoacoustics discusses future directions support sustainable ecosystem

Язык: Английский

Процитировано

0

Fish use of deep-sea sponge habitats evidenced by long-term high-resolution monitoring DOI
Laurence H. De Clippele, Claude Nozères,

Jinshan Xu

и другие.

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Апрель 23, 2025

Abstract It is critical that fish's habitat uses of benthic habitats are understood, to inform effective fisheries management and predict the impacts human activities climate change. In this study, landers were used collect long-term high-temporal resolution data gain insights into use sponge grounds by fish at Sambro Bank Conservation Area. An integrated ecosystem-based monitoring approach was used, involving collected on biology, food supply, oceanography. Fish abundance, behaviour complex benthopelagic interactions analysed over spatial extended temporal scales (i.e., 30-minute intervals from 2021–2023). A total 21 different planktivorous benthivorous taxa found utilise seafloor. We show can act as a nursery, feeding shelter for commercially important fish. In-depth analyses Redfish, urophycid hakes, Silver Hake revealed distinct diel seasonal patterns showed how food, density current speed drivers their abundance behaviour. Supported fishery trawl survey reports, ecosystem importance environmental Such information crucial developing implementing robust, evidence-based policy management.

Язык: Английский

Процитировано

0

Fish use of deep-sea sponge habitats evidenced by long-term high-resolution monitoring DOI Creative Commons
Laurence H. De Clippele, Claude Nozères,

Jinshan Xu

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 21, 2025

Abstract It is critical that fish’s habitat uses of benthic habitats are understood, to inform effective fisheries management and predict the impacts human activities climate change. In this study, landers were used collect long-term high-temporal resolution data gain insights into use sponge grounds by fish at Sambro Bank Conservation Area. An integrated ecosystem-based monitoring approach was used, involving collected on biology, food supply, oceanography. Fish abundance, behaviour complex benthopelagic interactions analysed over spatial extended temporal scales (i.e., 30-min intervals from 2021 2023). A total 21 different planktivorous benthivorous taxa found utilise seafloor. We show can act as a nursery, feeding shelter for commercially important fish. In-depth analyses Redfish, urophycid hakes, Silver Hake revealed distinct diel seasonal patterns showed how food, density current speed drivers their abundance behaviour. Supported fishery trawl survey reports, ecosystem importance environmental Such information crucial developing implementing robust, evidence-based policy management.

Язык: Английский

Процитировано

0

Detection of a stress related acoustic signature by passive acoustic monitoring in Atlantic salmon farming DOI Creative Commons
Kristbjörg Edda Jónsdóttir,

John Reidar Mathiassen,

Eirik Svendsen

и другие.

Aquacultural Engineering, Год журнала: 2024, Номер 107, С. 102472 - 102472

Опубликована: Окт. 9, 2024

Язык: Английский

Процитировано

0