New data on the introduction of the invasive signal crayfish Pacifastacus leniusculus (Dana, 1852) (Crustacea: Decapoda) in Galicia (NW Iberian Peninsula)
Bibliographic record
Abstract
The non-native signal crayfish Pacifastacus leniusculus (Dana, 1852) has successfully been established in many catchments of Europe, causing detrimental impacts on both native flora and fauna. The aim of this paper was to report the anthropogenic introduction of P. leniusculus and its ectosymbionts (family Branchiobdellidae) in the River Tambre (NW Spain). Seventy one individuals of P. leniusculus were captured in the Barrie de la Maza reservoir in November 2016. The presence of several age classes, including young of the year individuals, and ovigerous females suggests that the population is already established and viable. Most individuals (96%) presented branchiobdellidans and 4% exhibited white spots probably caused by a virus. Melanised spots caused by the oomycete Aphanomyces astaci (Schikora, 1906) (crayfish plague) were not found in this sample. This population is expected to disperse through the River Tambre basin. The Tambre population may also be a source of individuals for new introductions in the region, where currently no P. leniusculus populations are known at a minimum radio of 150 km in straight line. Therefore, immediate management and preventive actions should be pursued to control the dispersion and growth of this population and to avoid new introductions (e.g. ban of crayfish fishing).
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".