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Record W2790345628 · doi:10.3354/meps12532

Evidence for reproductive senescence in a broadly distributed harvested marine fish

2018· article· en· W2790345628 on OpenAlexaboutno aff
HP Benoît, DP Swain, Jeffrey A. Hutchings, D. Knox, Thomas Doniol‐Valcroze, CM Bourne

Bibliographic record

VenueMarine Ecology Progress Series · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine animal studies overview
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyFisheryClupeaFecunditySenescenceFish <Actinopterygii>HerringEcologyGeographyPopulationDemography

Abstract

fetched live from OpenAlex

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 592:207-224 (2018) - DOI: https://doi.org/10.3354/meps12532 Evidence for reproductive senescence in a broadly distributed harvested marine fish Hugues P. Benoît1,2,6,*, Douglas P. Swain1, Jeffrey A. Hutchings2, Derek Knox3, Thomas Doniol-Valcroze4,7, Christina M. Bourne5 1Fisheries and Oceans Canada, Gulf Fisheries Centre, Moncton, NB E1C 9B6, Canada 2Department of Biology, Dalhousie University, Halifax, NS B3H 4J1, Canada 3Fisheries and Oceans Canada, St. Andrews Biological Station, 531 Brandy Cove Road, St. Andrews, NB E5B 2L9, Canada 4Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont Joli, QC G5H 3Z4, Canada 5Fisheries and Oceans Canada, Northwest Atlantic Fisheries Centre, St. John's, NL A1C 5X1, Canada 6Present address: Fisheries and Oceans Canada, Maurice Lamontagne Institute, Mont Joli, QC G5H 3Z4, Canada 7Present address: Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, BC V9T 6N7, Canada *Corresponding author: hugues.benoit@dfo-mpo.gc.ca ABSTRACT: Senescence is the physiological deterioration of adult organisms leading to an age-specific decline in fitness principally associated with an increase in mortality rate (actuarial senescence) and decline in fecundity (reproductive senescence). Senescence is common in natural populations of many taxa; however, there are few examples among fishes, even though they are the most speciose vertebrates and comprise a disproportionate number of long-lived animal species. A notable example in fish is Norwegian spring-spawning Atlantic herring Clupea harengus, which experiences actuarial senescence. Given expected associations between actuarial and reproductive senescence, Atlantic herring likely also experience reproductive senescence. We examined biological data obtained over 4 decades for 15 Canadian Atlantic herring stocks for evidence of reproductive senescence. Age- and length-specific increases in the relative frequency of morphologically non-reproductive herring and age-related decreases in reproductive investment were consistent with reproductive senescence in both sexes, combined with a post-reproductive increase in growth rate. Available evidence was not consistent with 2 alternative hypotheses: delayed maturation combined with higher survival for late-maturing fish, or an increasing frequency of skipped spawning with age. Although the incidence of post-reproductive herring was generally low, this was likely because very few individuals survive to older ages due to fishing. The present study presents the first strong example of reproductive senescence in a marine fish, notably one that is both ecologically important and a target of large fisheries throughout its range. KEY WORDS: Atlantic herring · Clupea harengus · Senescence · Post-reproductive · Life history · Lifetime reproductive value Full text in pdf format Supplementary material PreviousNextCite this article as: Benoît HP, Swain DP, Hutchings JA, Knox D, Doniol-Valcroze T, Bourne CM (2018) Evidence for reproductive senescence in a broadly distributed harvested marine fish. Mar Ecol Prog Ser 592:207-224. https://doi.org/10.3354/meps12532 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 592. Online publication date: March 29, 2018 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2018 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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score1.000

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 studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.290
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.

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

Citations31
Published2018
Admission routes1
Has abstractyes

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