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BRIEF RESEARCH REPORT article

Front. Ecol. Evol.
Sec. Population, Community, and Ecosystem Dynamics
Volume 13 - 2025 | doi: 10.3389/fevo.2025.1528335
This article is part of the Research Topic Biological Invasions in Aquatic Ecosystems: Detection, Assessment and Countermeasures View all 12 articles

Coastal aquaculture ponds represent a notable source of the blooming jellyfish Aurelia coerulea

Provisionally accepted
  • 1 Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Yantai, China
  • 2 Shandong Marine Resource and Environment Research Institute, Yantai, China

The final, formatted version of the article will be published soon.

    The frequent occurrence of Aurelia coerulea medusae in coastal waters poses a serious threat to power plants and fisheries, emphasizing the importance of early jellyfish bloom detection. Owing to the complex life cycle of jellyfish and the limitations of traditional survey methods, identifying the natural habitat of early stage jellyfish, especially polyps and ephyrae, is challenging. In this study, we aimed to identify the early habitats A. coerulea using environmental DNA (eDNA) metabarcoding technology to predict the sources of blooms. We successfully detected A. coerulea in a temperate bay (Laizhou Bay, LZB) and nearby aquaculture ponds (Dongying, DY) in March, when medusae were absent, revealing the habitats and distributions of the early stages of bloom-causing jellyfish. The relative abundance of blooming A. coerulea in the DY aquaculture ponds was significantly higher than that in the LZB. Our results suggest that coastal aquaculture ponds, as natural habitats for A. coerulea polyps and ephyrae, are an important source of A. coerulea medusa aggregates in the surrounding coastal waters. These findings suggest that jellyfish management strategies can be focused on aquaculture ponds, allowing for the source-based prevention and control of blooms before they cause damage.

    Keywords: Jellyfish blooms, Aurelia coerulea, Aquaculture ponds, eDNA metabarcoding, source control

    Received: 14 Nov 2024; Accepted: 23 Jan 2025.

    Copyright: © 2025 Wang, Sun, Jiang, Zhang, He, Yuanqing, Zhao and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Huichao Jiang, Shandong Marine Resource and Environment Research Institute, Yantai, China
    Zhijun Dong, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (CAS), Yantai, China

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