JOURNAL ARTICLE
Daytime boat sound does not affect the behavior of wild thorny oysters (Spondylus americanus): A field-based study.
Published In: Journal of the Acoustical Society of America, 2023, v. 154, n. 2. P. 1041 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Jézéquel, Youenn; Aoki, Nadège; Cones, Seth F.; Mooney, T. Aran 3 of 3
Abstract
This article focuses on a field-based study assessing the behavioral effects of recreational boat sound on Atlantic thorny oysters (Spondylus americanus) in coral reef habitats within the U.S. Virgin Islands National Park. Despite significant daytime increases in particle acceleration levels (PALrms) due to boat traffic at the treatment site, oysters exhibited consistent diurnal valve opening cycles—opening wider at night and partially closing during the day—without significant behavioral changes in response to boat sound compared to a control site with minimal boat noise. The findings suggest that low-frequency, continuous boat sound typical of recreational vessels does not elicit short-term behavioral disturbances in these oysters, contrasting with prior laboratory studies that reported sound-induced responses in bivalves. The study highlights the importance of realistic field experiments for understanding anthropogenic sound impacts on marine invertebrates and raises hypotheses including low auditory sensitivity, habituation, or non-detection of boat sound by oysters as possible explanations for the observed resilience.
Additional Information
- Source:Journal of the Acoustical Society of America. 2023/08, Vol. 154, Issue 2, p1041
- Document Type:Article
- Subject Area:Anthropology
- Publication Date:2023
- ISSN:0001-4966
- DOI:10.1121/10.0020725
- Accession Number:171343568
- Copyright Statement:Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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