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Metabarcoding gillnets to assess unaccounted catch depredation or escape

Authors: Mark de Bruyn; Matteo Barbato; Matt Broadhurst;

Metabarcoding gillnets to assess unaccounted catch depredation or escape

Abstract

Abstract Gillnets are the world's most common net‐based fishing gear, comprising walls of light mesh designed to entangle fish. Gillnets are often retrieved with holes in the netting, which means some animals escape or are depredated unseen, but with some mortality. To effectively manage fisheries around the world, information is required on not only the harvested and discarded mortalities, but also problematic interactions and mortalities caused by the fishing gear and especially those involving protected species. This study sought to assess a novel method for determining such interactions by sampling five adjacent pieces of netting around each of ten holes in two bather‐protection polyethylene gillnets for environmental DNA or “eDNA”. Here we show that eDNA correctly identified all previously entangled‐and‐landed species. Also, eDNA from three uncaptured taxa were recorded: bull shark, Carcharhinus leucas , white shark, Carcharodon carcharias and dolphins (Delphindae), illustrating the potential to reveal previously cryptic gillnet interactions. We propose that as scientific methods evolve and autonomous real‐time DNA surveillance becomes routine, eDNA testing of fishing gears and vessels could provide a novel, complementary fishery‐monitoring tool.

Keywords

illegal, 570, Ecology, illegal, unreported and unregulated (IUU) fishing, QR100-130, Environmental sciences, Microbial ecology, forensics, fisheries, trace DNA, metabarcoding, Genetics, GE1-350

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold