ArticleScientific data2022
Data on the diets of Salish Sea harbour seals from DNA metabarcoding.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 24 citations in OpenAlex.
- Detection of Echinococcus multilocularis in coyotes in Washington State, USA highlights need for increased wildlife surveillance.PLoS neglected tropical diseases · 2026Article
- Article
- Sex-specific diet differences in harbor seals (Ecology and evolution · 2024Article
- DNA-metabarcoding supports trophic flexibility and reveals new prey species for the Galapagos sea lion.Ecology and evolution · 2024Article
- Article
- Fine-scale diversity of prey detected in humpback whale feces.Ecology and evolution · 2022Article
- Large-scale molecular barcoding of prey DNA reveals predictors of intrapopulation feeding diversity in a marine predator.Ecology and evolution · 2020Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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