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Record W4415203188 · doi:10.1016/j.fishres.2025.107553

Rearing endangered atlantic salmon (Salmo salar) in modified marine aquaculture systems for population conservation in Eastern Canada

2025· article· en· W4415203188 on OpenAlexafffundabout
Corey N. Clarke, J. Whitelaw, John W. Robinson, Matthew J. Ingersoll

Bibliographic record

VenueFisheries Research · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsKellogg's (Canada)Parks Canada
FundersParks Canada
KeywordsSpawn (biology)SalmoAquacultureEndangered speciesPopulationJuvenileFishingMarine conservationNetting

Abstract

fetched live from OpenAlex

We document the first known marine aquaculture farm established and dedicated to rearing wild-origin Atlantic salmon ( Salmo salar ) for population restoration. Juvenile salmon of a common lineage were collected from the wild in Fundy National Park, in Eastern Canada and reared in a captive marine environment using modified commercial aquaculture systems. Each year from 2015 to 2024, cohorts of mature fish were tagged at the marine farm and transferred by truck for release back into to the Upper Salmon River in Fundy National Park, at the time they would be naturally returning from sea to spawn the next generation. Our rearing and release strategy avoided high mortality during the marine life stage, which is the factor most limiting population recovery. Post-released adult salmon were observed returning naturally in subsequent years from 2016 to 2024. This work contributed to our objective to increase counts of returning adult salmon, which were otherwise absent from 1995 to 2007, following a population collapse. The scale of benefits from released and returning salmon require further quantification, but the current study provides a promising template for consideration and implementation by other jurisdictions that are facing futures without salmon, and the associated loss of benefits to ecosystems, community, and culture that follow.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.109
Threshold uncertainty score0.615

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.300
Teacher spread0.254 · 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 teacher head, 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

Citations2
Published2025
Admission routes3
Has abstractyes

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