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Record W1966033895 · doi:10.1080/14634988.2010.507150

The fall of Native Fishes and the rise of Non-native Fishes in the Great Lakes Basin

2010· article· en· W1966033895 on OpenAlexaff
Nicholas E. Mandrak, Becky Cudmore

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsIntroduced speciesEcologyInvasive speciesFaunaBiologyBiological dispersalOverexploitationBiodiversityHabitatThreatened speciesPredationFisheryStructural basinStockingGeographyPopulation

Abstract

fetched live from OpenAlex

Over the last 200 years, the fish fauna of the Great Lakes has changed significantly as a result of declines in native species and the deliberate and inadvertent stocking of non-native fishes. These changes have resulted in the global extinction of three taxa and the extirpation of 18 species lowering the number of currently extant native species in the Great Lakes basin from 169 to 148 species. A further 82 species have declined to the point of endangerment in at least one jurisdiction in the basin. The causes of these declines are primarily habitat alterations, aquatic invasive species, and overexploitation. Some significant changes in the fish fauna of the Great Lakes basin have also been the result of the successful introduction and establishment of 35 non-native species. In addition, 34 non-native species have been found in the basin, but have not, or are not thought to have, established reproducing populations. These species have been introduced through a variety of pathways including commercial shipping, dispersal, live trade, recreational boating and angling, and stocking. Many of these species have substantially impacted the Great Lakes ecosystem directly through predation and competition or indirectly through trophic disruption and disease transmission. The relative importance of pathways as a source of new introductions has changed over time, and can be expected to continue to change as a result of evolving regulations and trade patterns. The fish fauna of the Great Lakes basin will continue to change as the result of continuing threats to native species and ongoing introductions of non-native species, and such change will undoubtedly be influenced by climate change and human population growth.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.902
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.009
GPT teacher head0.239
Teacher spread0.231 · 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 source (direct Gemma or distilled Codex), 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

Citations90
Published2010
Admission routes1
Has abstractyes

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