Effects of invasive American signal crayfish (<i>Pacifastacus leniusculus</i>) on the reproductive behaviour of threespine stickleback (<i>Gasterosteus aculeatus</i>) sympatric species pairs
Bibliographic record
Abstract
Environmental change, including that caused directly or indirectly by invasive species, presents a major threat to the persistence of native freshwater biodiversity. The invasive American signal crayfish ( Pacifastacus leniusculus (Dana, 1852)) has recently been implicated in the collapse of a pair of threespine stickleback ( Gasterosteus aculeatus L., 1758) species in Enos Lake, British Columbia, through introgressive hybridization; yet there are few data describing potential interactions between crayfish and these recently evolved stickleback species. We conducted a behavioural study, using an intact sympatric G. aculeatus species pair from a nearby lake, to examine if and how interactions with P. leniusculus may influence the breeding behaviour of sticklebacks. We found that the reproductive behaviour of limnetic males was disrupted to a greater degree than that of benthic males, suggesting that crayfish may disproportionately impact limnetic male reproductive success and may have contributed to biased hybridization between the Enos Lake species pair. Our study illustrates how newly differentiated taxa may be especially susceptible to environmental perturbations, particularly those caused by 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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".