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Qin,Y. (2025). The Impact of Barnacles Attachments on Sea Turtles. Theoretical and Natural Science,112,42-47.
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The Impact of Barnacles Attachments on Sea Turtles

Yuwen Qin *,1,
  • 1 Wuxi Dipont School of Arts and Science, Wuxi, Jiangsu, 214000, China

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-8818/2025.AU23408

Abstract

Barnacles are a sessile crustacean that attaches to the outer surface of sea turtles. Sea turtles are key species in marine ecosystems, and studying the impact of barnacles on sea turtles can indirectly reflect the health status of marine ecosystems. This paper aims to investigate the ecological impact of barnacle infestation on sea turtles, to discover the trend of barnacle load levels and their relationship with turtle health, and further explore how barnacle infestation affects the survival and behavior of sea turtles. The research findings show that light barnacle attachment does not cause harm. The severity of barnacle infection determines its impact on turtle movement while causing skin injuries and making them more vulnerable to infections. Barnacles sometimes function as health indicators instead of being direct threats to turtles. Our knowledge about turtle ecology has expanded through the analysis of research data from various geographic areas and periods. Barnacles' population changes are indicators of invasive species movements, while their distribution patterns invasively correlate with the water temperature and salinity levels. The study thus brings out the importance of separating epiphytes from overgrowth in the context of marine ecosystems. Marine biologists and ecologists who work on monitoring the health of turtles will be able to grasp the significance of distinguishing between epiphytes and overgrowth, as well as to develop assessment protocols.

Keywords

Sea turtles, barnacle infestation, marine health, conservation biology

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Cite this article

Qin,Y. (2025). The Impact of Barnacles Attachments on Sea Turtles. Theoretical and Natural Science,112,42-47.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of ICEGEE 2025 Symposium: Sensor Technology and Multimodal Data Analysis

ISBN:978-1-80590-151-8(Print) / 978-1-80590-152-5(Online)
Conference date: 16 June 2025
Editor:Alan Wang
Series: Theoretical and Natural Science
Volume number: Vol.112
ISSN:2753-8818(Print) / 2753-8826(Online)

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