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Record W2904757401 · doi:10.3354/meps12841

Short-term temporal variation in inshore/offshore feeding and trophic niche of Atlantic salmon Salmo salar off West Greenland

2018· article· en· W2904757401 on OpenAlexaboutno aff
Heather Dixon, J. Brian Dempson, Michael Power

Bibliographic record

VenueMarine Ecology Progress Series · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsSalmoTrophic levelFisheryHydrographyGeographyOceanographyPredationFood webApex predatorEcologyNicheBiologyFish <Actinopterygii>Geology

Abstract

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MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 610:191-203 (2019) - DOI: https://doi.org/10.3354/meps12841 Short-term temporal variation in inshore/offshore feeding and trophic niche of Atlantic salmon Salmo salar off West Greenland Heather J. Dixon1, J. Brian Dempson2, Michael Power3,* 1Biology Department, Wilfrid Laurier University, Waterloo, Ontario N2L 3C5, Canada 2Fisheries and Oceans Canada, Science Branch, St John’s, Newfoundland and Labrador A1C 5X1, Canada 3Biology Department, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada *Corresponding author: m3power@uwaterloo.ca ABSTRACT: The marine portion of Atlantic salmon Salmo salar L. life history is not well understood, with many populations exhibiting declines in survival and growth linked to changes in the food web. Atlantic salmon of North American origin feed along the coast of West Greenland from August to November and are exposed to a variety of different ecosystems and hydrographic and environmental regimes that affect marine food webs. Here we used stable isotopes to assess the reliance of Atlantic salmon feeding on inshore prey resources and its associated seasonal variation, and examine the correlations of varying inshore resource use with size, condition and trophic niche width. On average, Atlantic salmon relied on inshore resources for 38% of their diet (range of 0-84%). The reliance on inshore prey increased throughout the season, as did size and condition. Although differences between inshore and offshore feeding fish were small, the resulting implications of associated differences in size and condition on subsequent survival and spawning success suggest important biological consequences of feeding habitat choice. The variation in inshore resource isotope values mirrored hydrographic variation and associated changes in prey related to glacial input, frontal zones between inshore and offshore water masses and nutrient input from run-off. Increasing reliance on inshore feeding may be due to a high abundance of spawning capelin Mallotus villosus in the fjords. Omnivory was found to be highest in fish using both the inshore and offshore environments, suggesting a greater diversity of diet in these fish. KEY WORDS: Atlantic salmon · Inshore/offshore feeding · Stable isotopes · Northwest Atlantic · Trophic niche Full text in pdf format PreviousNextCite this article as: Dixon HJ, Dempson JB, Power M (2019) Short-term temporal variation in inshore/offshore feeding and trophic niche of Atlantic salmon Salmo salar off West Greenland. Mar Ecol Prog Ser 610:191-203. https://doi.org/10.3354/meps12841 Export citation Mail this link - Contents Mailing Lists - RSS Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 610. Online publication date: February 01, 2019 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2019 Inter-Research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.234
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2018
Admission routes1
Has abstractyes

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