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Record W6893185931 · doi:10.5281/zenodo.14675815

Ecological performance of native and invasive benthic freshwater fishes under elevated temperature

2025· other· en· W6893185931 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsSt. Lawrence River Institute of Environmental SciencesFisheries and Oceans CanadaMcGill University
Fundersnot available
KeywordsTrophic levelRound gobyJuvenilePredationAcclimatizationBenthic zoneEcosystemNeogobius

Abstract

fetched live from OpenAlex

Climate warming of freshwater ecosystems is altering the performance and trophic interactions of native and non-native species. We compared the feeding efficiency and thermal tolerance of the Eurasian round goby (Neogobius melanostomus) and a trophically analogous native species, logperch (Percina caprodes), under current and projected mean summer surface temperatures for the nearshore lower Great Lakes (18°C and 25°C, respectively). At both temperatures, we quantified the functional response ratio (FRR) of these fishes—the ratio of their attack rate and prey handling time, which can predict trophic impacts in the field. At 18°C, juvenile logperch had a higher FRR than juvenile round gobies; however, adult round gobies had a higher FRR than logperch at either temperature, indicating a greater potential for trophic impacts. At 25°C, adult round gobies and logperch increased their prey consumption and FRR. Following acclimation to 18°C and 25°C, juvenile logperch exhibited a greater thermal acclimation capacity than the round goby. These results underscore the need for risk assessment to account for varied responses by native and non-native species to shifting thermal contexts.

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)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.022
GPT teacher head0.232
Teacher spread0.211 · 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
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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