Swimming capacity and behaviour of juvenile round goby (<i>Neogobius melanostomus</i>)
Bibliographic record
Abstract
Abstract The round goby (Neogobius melanostomus) is an example of an invasive species where the adults are unimpressive swimmers and yet via human activities, they have managed to rapidly invade the Laurentian Great Lakes, the Baltic Sea and many rivers in Western Europe. The secondary spread from human‐impacted sites has been attributed to adult life stages, despite their poor swimming capacity. However, the swimming capacity of early life stages of round goby has not been considered before. We therefore quantified critical swimming performance (Ucrit), sprint swimming performance (Usprint), burst swimming speeds and swimming behaviours in early juvenile round goby that ranged between 10 and 25 mm in body length. The average Ucrit, Usprint and burst speeds of these fish were an impressive 0.22, 0.34 and 0.67 m/s respectively, with the capacity of these early juveniles ranging between 41 and 79% of what has been documented for adults. Notably, fish spent more time actively swimming as current speed increased, while station holding decreased. Taken together, our findings highlight that despite their small size, early juvenile round goby are not simply passively moved by currents but have movement capacities that approach that of the much larger adults. Our study emphasizes the need to consider the swimming capacity of all life stages as this information will better predict dispersal and range expansion and will help to design mitigation efforts to potentially prevent the spread of this and other invasive species.
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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 | 0.001 | 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".