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Data on the diets of Salish Sea harbour seals from DNA metabarcoding

Marine trophic ecology data are in high demand as natural resource agencies increasingly adopt ecosystem-based management strategies that account for complex species interactions. Harbour seal ( Phoca vitulina ) diet data are of particular interest because the species is an abundant predator in the...

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Published in:Scientific data 2022-03, Vol.9 (1), p.68-68, Article 68
Main Authors: Thomas, Austen C., Deagle, Bruce, Nordstrom, Chad, Majewski, Sheena, Nelson, Benjamin W., Acevedo-Gutiérrez, Alejandro, Jeffries, Steven, Moore, Jed, Louden, Amelia, Allegue, Hassen, Pearson, Scott, Schmidt, Michael, Trites, Andrew W.
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Language:English
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Summary:Marine trophic ecology data are in high demand as natural resource agencies increasingly adopt ecosystem-based management strategies that account for complex species interactions. Harbour seal ( Phoca vitulina ) diet data are of particular interest because the species is an abundant predator in the northeast Pacific Ocean and Salish Sea ecosystem that consumes Pacific salmon ( Oncorhynchus spp .). A multi-agency effort was therefore undertaken to produce harbour seal diet data on an ecosystem scale using, 1) a standardized set of scat collection and analysis methods, and 2) a newly developed DNA metabarcoding diet analysis technique designed to identify prey species and quantify their relative proportions in seal diets. The DNA-based dataset described herein contains records from 4,625 harbour seal scats representing 52 haulout sites, 7 years, 12 calendar months, and a total of 11,641 prey identifications. Prey morphological hard parts analyses were conducted alongside, resulting in corresponding hard parts data for 92% of the scat DNA samples. A custom-built prey DNA sequence database containing 201 species (192 fishes, 9 cephalopods) is also provided. Measurement(s) diet Technology Type(s) DNA metabarcoding diet analysis Sample Characteristic - Organism Phoca vitulina Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.19077809
ISSN:2052-4463
2052-4463
DOI:10.1038/s41597-022-01152-5