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Record W201667197

Recent production trends of chum salmon Oncorhynchus keta under conditions of warming climate

2012· article· en· W201667197 on OpenAlexaboutno aff
Yuxue Qin, Masahide Kaeriyama

Bibliographic record

VenueHokkaido University Collection of Scholarly and Academic Papers (Hokkaido University) · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOncorhynchusHatcheryFisheryStockingBiologyAbundance (ecology)PopulationFish <Actinopterygii>
DOInot available

Abstract

fetched live from OpenAlex

Pacific salmon (Oncorhynchus spp.) play an important role as a keystone species and in ecosystem services in the subarctic North Pacific. Planktivorous pink (O. gorbuscha) and chum salmon (O. keta) abundance has increased since the 1975/76 regime-shift until the present, but their abundances have shown stable or declining trends in Canada, Japan, and USA since the 1990s, even though Russian chum and pink salmon abundance have been increasing (Fig. 1). Run size of Japanese chum salmon showed a decreasing trend in Honshu Island since the late 1990s and in Hokkaido Island since the early 2000s (Fig. 2). The carrying capacity of sockeye (O. nerka), chum, and pink salmon has changed to a downward trend since the early 2000s (Kaeriyama et al. 2011). Abundance of wild chum salmon in the 1990s decreased to 50% below that of the 1930s, while there have been significant increases in hatchery populations (Kaeriyama et al. 2009). Hatchery-derived salmon genetically disturb native-wild Pacific salmon. Araki and Schmid (2010) examined 266 peer-reviewed papers on effects of hatchery fish stocking on wild stocks and the consequences for stock enhancement. They concluded that negative effects of hatchery rearing on a variety of fish species are common and there are few indications of successful stocking. Hatchery-derived chum salmon have lower genetic diversity than wild salmon (Okazaki 1982). Yokotani et al. (2009) surveyed the population structure in the Yurappu River using mitochondrial DNA (mtDNA) analysis. Yurappu River chum salmon showed eight haplotypes (Ht1-Ht8) in the 481 bp 5’ variable portion of the mtDNA control region (Fig. 3). Pairwise population FST estimates showed that the December-run population (YPD) differed significantly from the October-run population (YPO) in the Yurappu River. The YPO population was closely related to others, such as the Chitose, Tokachi, and Nishibetsu river-populations (Table 1). These results suggest that Yurappu River chum salmon are genetically different and perhaps reproductively isolated by run-timing. It is thought that the native population persists as the late-run timing component, and that the early-run

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.871

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.216
Teacher spread0.198 · 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
Published2012
Admission routes1
Has abstractyes

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