Quantitative insights into the spatio-temporal variation of Atlantic salmon (Salmo salar) biomass in a river catchment using eDNA metabarcoding.

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Bibliographic Details
Title: Quantitative insights into the spatio-temporal variation of Atlantic salmon (Salmo salar) biomass in a river catchment using eDNA metabarcoding.
Authors: Perry WB; Water Research Institute, Cardiff University, Cardiff, UK.; Molecular Ecology and Evolution at Bangor, School of Environmental and Natural Sciences, Bangor University, Bangor, UK., Milner N; Molecular Ecology and Evolution at Bangor, School of Environmental and Natural Sciences, Bangor University, Bangor, UK.; APEM Ltd, Stockport, UK., Jâms IB; Water Research Institute, Cardiff University, Cardiff, UK., de Bruyn M; School of Environment and Science, Griffith University, Brisbane, Queensland, Australia., Ormerod SJ; Water Research Institute, Cardiff University, Cardiff, UK., Deiner K; Department of Environmental Systems Science, ETH Zurich, Zürich, Switzerland., Bik HM; Department of Marine Sciences and Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA., Carvalho G; Molecular Ecology and Evolution at Bangor, School of Environmental and Natural Sciences, Bangor University, Bangor, UK., Colbourne J; Centre for Environmental Research and Justice, School of Biosciences, University of Birmingham, Birmingham, UK., Cosby BJ; Centre for Ecology & Hydrology, Environment Centre Wales, Bangor, UK., Durance I; Water Research Institute, Cardiff University, Cardiff, UK., Creer S; Molecular Ecology and Evolution at Bangor, School of Environmental and Natural Sciences, Bangor University, Bangor, UK.
Source: Journal of fish biology [J Fish Biol] 2025 Sep 11. Date of Electronic Publication: 2025 Sep 11.
Publication Type: Journal Article
Journal Info: Publisher: Blackwell Publishing Country of Publication: England NLM ID: 0214055 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-8649 (Electronic) Linking ISSN: 00221112 NLM ISO Abbreviation: J Fish Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1095-8649
DOI:10.1111/jfb.70172