AI Article Synopsis
- Most studies on marine mammals and anthropogenic noise have mainly looked at how noise affects hearing and behavior, neglecting other potential effects.
- This study specifically investigated how acoustic noise impacts the heart rate of captive belugas.
- The findings indicate that heart rate can reflect physiological stress due to noise, that cardiac responses vary with noise characteristics and exposure frequency, and that young cetaceans are more susceptible to noise-related stress than adults.
Article Abstract
To date, most research on the adverse effects of anthropogenic noise on marine mammals has focused on auditory and behavioral responses. Other responses have received little attention and are often ignored. In this study, the effect of acoustic noise on heart rate was examined in captive belugas. The data suggest that (1) heart rate can be used as a measure of physiological response (including stress) to noise in belugas and other cetaceans, (2) cardiac response is influenced by parameters of noise and adaptation to repeated exposure, and (3) cetacean calves are more vulnerable to the adverse effect of noise than adults.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/978-1-4939-2981-8_80 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Hearing in categories and speech perception at the "cocktail party".
PLoS One
January 2025
School of Communication Sciences & Disorders, University of Memphis, Memphis, Tennessee, United States of America.
We aimed to test whether hearing speech in phonetic categories (as opposed to a continuous/gradient fashion) affords benefits to "cocktail party" speech perception. We measured speech perception performance (recognition, localization, and source monitoring) in a simulated 3D cocktail party environment. We manipulated task difficulty by varying the number of additional maskers presented at other spatial locations in the horizontal soundfield (1-4 talkers) and via forward vs.
View Article and Find Full Text PDFAssessing the potential acoustic impact of floating offshore wind farms in the Central Mediterranean Sea.
Mar Pollut Bull
January 2025
Institute for the study of anthropogenic impacts and sustainability in the marine environment, National Research Council of Italy, Via del Mare 3, 91021 Torretta Granitola, Italy.
The Strait of Sicily, a vital marine passage with diverse fauna, is seeing a steep rise in the planning of offshore wind farm projects. This study assesses the acoustic impact of these wind farms on local marine species. Underwater propagation was modeled for three proposed floating wind farms using JASCO's Marine Operations Noise Model (MONM), which integrates a parabolic equation method for frequencies from 10 to 800 Hz and a beam-tracing model for 1 to 25 kHz.
View Article and Find Full Text PDFReconstruction of vibration noise in plate structures based on Data-Physics driven model and transfer learning.
J Acoust Soc Am
January 2025
Urban Construction Center of Lucheng District of Wenzhou, Wenzhou, 325000, China.
The identification of vibration and reconstruction of sound fields of plate structures are important for understanding the vibroacoustic characteristics of complex structures. This paper presents a data-physics driven (DPD) model integrated with transfer learning (DPDT) for high-precision identification and reconstruction of vibration and noise radiation of plate structures. The model combines the Kirchhoff-Helmholtz integral equation with convolutional neural networks, leveraging physical information to reduce the need for extensive data.
View Article and Find Full Text PDFThe acoustic signals generated during the laser paint removal process contain valuable information that reflects the state of paint removal. However, it is often overshadowed by complex environmental noise, posing significant challenges for real-time monitoring of paint removal based on acoustic signals. This paper introduces a real-time acoustic monitoring method for laser paint removal using deep learning techniques for the first time.
View Article and Find Full Text PDFDistributed acoustic sensing (DAS) is a technology that uses optical fiber as a sensing unit to detect external vibration signals. Due to the high resolution and high sensitivity of DAS, it has great application potential in the detection of vibration events. However, high detection performance will bring limitations to DAS in multi-source detection.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!