Data from: Comparison of fish detections, community diversity, and relative abundance using environmental DNA metabarcoding and traditional gears

Nicholas M. Sard, Seth J. Herbst, Lucas Nathan, Genelle Uhrig, Jeannette Kanefsky, John D. Robinson & Kim T. Scribner
Background Detecting species at low abundance, including aquatic invasive species (AIS), is critical for making informed management decisions. Environmental DNA (eDNA) methods have become a powerful tool for rare or cryptic species detection; however, many eDNA assays offer limited utility for community‐level analyses due to their use of species‐specific (presence/absence) ‘barcodes’. Metabarcoding methods provide information on entire communities based on sequencing of all taxon‐specific barcodes within an eDNA sample. Aims Evaluate measures of fish species...

Registration Year

  • 2019
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Resource Types

  • Dataset
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Affiliations

  • Michigan Department of Natural Resources
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  • State University of New York at Oswego
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  • University of Wisconsin–Milwaukee
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  • Michigan State University
    1