Investigating the quality of European silver eels by quantifying contaminants and parasite infestation in a French Mediterranean lagoon complex.

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Tác giả: Elsa Amilhat, Colin Bouchard, Paco Bustamante, Adrian Covaci, Elisabeth Faliex, Amélie Hoste, Raphaël Lagarde, Emmanuelle Migne, Delphine Nicolas, Giulia Poma, Claire Tetrel, Klervi Verbrugghe, Hugo Vey Payre

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Germany : Environmental science and pollution research international , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 177204

 Coastal lagoons are diverse habitats with significant ecological gradients, which provide crucial ecosystem services but face threats from human activities such as invasive species and pollution. Among the species inhabiting the lagoons, the critically endangered European eel (Anguilla anguilla) is an emblematic species strongly impacted by contamination and parasitism. Several indicators were developed to assess the quality of eel at a large geographic scale. Most indicators are based on the concentration of individual pollutant and/or abundance of parasites separately without considering individual variations. This study assessed the quality of 59 eels captured at three different sites inside a Mediterranean lagoon complex (the Camargue, South of France), by integrating multiple degradation factors (POPs, TEs, and A. crassus infestation) and considering individual eel characteristics (length, age, growth rate, and sex). Using multivariate TOPSIS analysis including these degradation factors, this study found that eel quality decreased with age but did not significantly vary between sites. When focusing on each degradation factor, A. crassus infestation rates were lower in older eels, independently to the site
  however, the POPs and TEs contaminations were lower in the Grandes Cabanes site compared to the Vaccarès and Fumemorte sites even if smaller and younger eels were more contaminated by POPs. These findings reveal the fine-scale spatial variability in eel quality, with TOPSIS analysis providing a robust method to rank and score scenarios. This approach enhances the understanding of habitat degradation sources affecting eel contamination and parasitic infestation, supporting more effective strategies for sustainable habitat management.
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