Replication data for: Dispersal of an invasive cyprinid: Movement patterns correlated with morphology but not a lab-expressed behavioural syndrome
Bibliographic record
Abstract
Dispersal behaviour has important consequences for biological invasions. We assessed morphological and lab-based behavioural traits to test for a behavioural syndrome associated with dispersal in Common Carp, a highly invasive fish. We then correlated these dispersal traits with the opportunistic breaching of a fish barrier and broader movement in the wild. Common Carp were captured attempting to disperse into Cootes Paradise Marsh, a protected wetland in Ontario, Canada. Individual variation was characterized by geometric morphometrics (n=300) and behavioural trials (n=44) in a subsample of fish. Video-recorded trials captured measures of boldness, activity, and sociability. A subset of fish (n=10) were acoustically tagged and released to measure monthly movement patterns. Habitat conditions varied widely in the field, and a rare flooding event allowed fish to bypass a barrier and enter Cootes Paradise Marsh. A multivariate mixed model was used to describe among-individual trait correlations. Common Carp expressed a behavioural syndrome in the lab, where bold individuals were also active and social, but this syndrome was not correlated with morphology or repeatable wild movement. Three telemetry-tracked Common Carp by-passed the fish barrier and entered the protected wetland. Barrier breaching was correlated with monthly distance travelled, and negatively correlated with dispersal. Other individuals preferred the warm-water canals of the Hamilton Harbour industrial shoreline, where proximity to industry was correlated with a slender body-depth morphology. This study identified a behavioral syndrome , while also identifying traits linked to barrier breaching and potential trade-offs for fish in highly industrialized environments.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.180 | 0.077 |
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".