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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 |
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Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-022-01152-5 |