Ecological performance of native and invasive benthic freshwater fishes under elevated temperature
Bibliographic record
Abstract
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 invasive round goby ( Neogobius melanostomus) and a trophically analogous native fish, logperch ( Percina caprodes), under current and projected mean summer surface temperatures for the nearshore lower Great Lakes (18 and 25 °C, respectively). Feeding efficiency at both temperatures was quantified using the functional response ratio (FRR)—the ratio of attack rate and prey handling time. Juvenile logperch had a higher FRR than juvenile gobies at 18 °C; however, adult gobies had a higher FRR than juvenile logperch at both 18 and 25 °C, indicating a greater potential for trophic impacts. At 18 °C, CTmax of juvenile logperch was lower than adult gobies but did not differ from juvenile gobies, whereas at 25 °C, logperch CTmax was higher than juvenile round gobies. Following acclimation to either 18 or 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 native and non-native species responses to shifting thermal contexts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".