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Record W2105516304 · doi:10.47886/9781934874080.ch27

Challenges for Diadromous Fishes in a Dynamic Global Environment

2009· preprint· en· W2105516304 on OpenAlexaffabout
Timothy D. Jardine, Jean‐Marc Roussel, S.C. Mitchell, Richard A. Cunjak

Bibliographic record

VenueAmerican Fisheries Society eBooks · 2009
Typepreprint
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsSt. Lawrence River Institute of Environmental Sciences
Fundersnot available
KeywordsSpawn (biology)Fish migrationTrophic levelFisheryBenthic zoneEnvironmental scienceEcologyCottusHerringOceanographyBiologyGeology

Abstract

fetched live from OpenAlex

<em>Abstract</em>.—We used stable isotope analysis in an attempt to detect marine subsidies from anadromous fish to freshwater benthos in four river systems draining to the Atlantic Ocean. Benthic invertebrates in the West River, Nova Scotia, Canada, had elevated d<sup>13</sup>C, d<sup>15</sup>N, and d<sup>34</sup>S values in a downstream reach that suggested consumption of marine-derived organic matter from spawning blueback herring <em>Alosa aestivalis</em>. In Doctor’s Brook, Nova Scotia, the arrival of rainbow smelt <em>Osmerus mordax </em>to spawn led to rapid increases in the d<sup>13</sup>C and d<sup>15</sup>N of a predatory stonefly (Perlidae), but lower trophic levels (mayflies and biofilm) showed inconsistent responses. Sculpin <em>Cottus </em>sp. showed no evidence of predation on Atlantic salmon <em>Salmo salar </em>eggs in Catamaran Brook, New Brunswick, Canada or the Scorff River, Brittany, France. These analyses suggest that marine organic matter subsidies, in the form of direct consumption of eggs and/or carcasses, are important in streams with concentrated spawning activity such as by alosid and osmerid species, whereas carbon and nitrogen contributions from more sparse spawning species such as by Atlantic salmon may be minimal.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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 designOther design
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
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Fisheries Society eBooksSame topicIsotope Analysis in EcologyFrench-language works237,207