Using <scp>eDNA</scp> to estimate biomass of bycatch in pelagic fisheries
نویسندگان
چکیده
In recent years, the analysis of environmental DNA (eDNA) has significantly improved, allowing for high-resolution species identification and possible biomass quantification from water samples. Fisheries management typically requires monitoring catches, including precise information about bycatch quantities to make sound assessments exploitation rates. Bycatch assessment is particularly challenging in large catches (>500 T), current practice visual subsampled time-consuming, extensive labor, often low precision. We explored feasibility applying eDNA-based methods studying catch composition using pelagic North Sea herring fishery with mackerel as a case. First, we experimentally simulate series range weight proportions establish relationships under real fisheries scenarios. The relationship subsequently used estimate eDNA three by sampling comparing processing both onboard ships at factory. All samples are analyzed species-specific quantitative PCR (qPCR). experiments reveled strong correlation between fractions characterized constant overrepresentation compared expected weight. found that applied same landing reflect within variability alike, however, can show disparity total estimates biomass. Accounting haul mixing landed increases precision factory ship catch. provide coherent data, likely improve quality reduce costs collecting fisheries-dependent data thereby contribute securing sustainable fisheries.
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ژورنال
عنوان ژورنال: Environmental DNA
سال: 2022
ISSN: ['2637-4943']
DOI: https://doi.org/10.1002/edn3.377