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Record W4405832721 · doi:10.1111/gcb.70010

The Once and Future Fish: Assessing a Millennium of Atlantic Herring Exploitation Through Mixed‐Stock Analysis and Ancient DNA

2024· article· en· W4405832721 on OpenAlexaff
Lane M. Atmore, Inge van der Jagt, Aurélie Boilard, Simone Häberle, Rachel Blevis, Katrien Dierickx, Liz M. Quinlan, David Orton, Anne Karin Hufthammer, James H. Barrett, Bastiaan Star

Bibliographic record

VenueGlobal Change Biology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsUniversity of British Columbia
FundersH2020 Marie Skłodowska-Curie ActionsH2020 European Research CouncilEuropean Commission
KeywordsHerringFisheryStock (firearms)PopulationFish stockOverexploitationGenetic diversityBiologyGeographyPelagic zoneStock assessmentEcologyFishingFish <Actinopterygii>ArchaeologyDemography

Abstract

fetched live from OpenAlex

Small pelagic fish support profitable fisheries and are important for food security around the world. Yet, their sustainable management can be hindered by the indiscriminate impacts of simultaneous exploitation of fish from multiple distinct biological populations over extended periods of time. The quantification of such impacts is greatly facilitated by recently developed molecular tools-including diagnostic single nucleotide polymorphism (SNP) panels for mixed-stock analysis (MSA)-that can accurately detect the population identity of individual fish. However, the biological relevance of such tools over longer periods of time remains unknown. Here, we demonstrate that diagnostic SNP panels designed for contemporary MSA in Atlantic herring have a millennium-long biological relevance and applicability. We assign the population identity of ancient Atlantic herring specimens-obtained through famously profitable historic fisheries-up to 1300 years old from eight archaeological sites across Europe. Analyzing contemporary and ancient whole-genome data, we obtain evidence for the long-term mixed-stock exploitation of Atlantic herring. Despite such mixed-stock exploitation, we exclusively identify autumn-spawning herring amongst these archaeological remains, indicative of a specific biological availability or cultural preference for certain herring ecotypes in the past. Moreover, our results show that herring demographic patterns were relatively stable until the dramatic disruptions and stock collapses during the 20th century. We find small but significant reductions in genetic diversity over time, indicating long-term evolutionary consequences from 20th-century stock declines. The long-term applicability of diagnostic SNP panels underscores their biological relevance and cost-effective application for the genetic monitoring of herring stocks and highlights the utility of ancient DNA to obtain insights in herring ecology and population dynamics.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

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

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 head0.044
GPT teacher head0.329
Teacher spread0.285 · 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

Citations5
Published2024
Admission routes1
Has abstractyes

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