JOURNAL ARTICLE
Physiological Effects of Sargassum Beach Coverage on Three Species of Sea Turtle Hatchlings.
Published In: Journal of Coastal Research, 2025, v. 41, n. 6. P. 989 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Appelt, Abbey M.; Milton, Sarah L. 3 of 3
Abstract
Appelt, A.M. and Milton, S.L., 2025. Physiological effects of Sargassum beach coverage on three species of sea turtle hatchlings. Sea turtle hatchlings face a variety of obstacles as they crawl down the beach to the ocean after emergence. One of these obstacles is Sargassum, a floating brown macroalgae that may wash up in large quantities on beaches from Florida to South America. This study examined the physiological response and physical performance of three species of sea turtle hatchlings (Dermochelys coriacea, Caretta caretta, and Chelonia mydas) after crawling over a 13 m sand pathway and then 2 m of two different depths of Sargassum. In all three species, the addition of Sargassum significantly increased the amount of time it took to crawl the length of the pathway vs. a 15 m control with no Sargassum. After the crawl, righting response and blood glucose levels were tested. No significant differences were found in righting response times or blood glucose levels between different crawling treatments within species. During periods of high Sargassum accumulation, hatchlings will spend more time on the beach trying to navigate through the algae, leaving them vulnerable to predation for longer periods of time. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Coastal Research. 2025/11, Vol. 41, Issue 6, p989
- Document Type:Article
- Subject Area:Science
- Publication Date:2025
- ISSN:0749-0208
- DOI:10.2112/JCOASTRES-D-24-00092.1
- Accession Number:191656977
- Copyright Statement:Copyright of Journal of Coastal Research is the property of KnowledgeWorks Global, Ltd 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.