Predation by the exotic cladoceran Cercopagis pengoi on the zooplankton community of Lake Ontario.
Bibliographic record
Abstract
The Ponto-Caspian cladoceran Cercopagis pengoi (fishhook waterflea) was first discovered in Lake Ontario in 1998. In 1999, it had spread to 5 Finger Lakes in upper New York State and to upper and lower Lake Michigan. By 2001, it was found in western Lake Erie. Cercopagis was transported to North America in ballast water of a transoceanic shipping freighter. A survey of zooplankton community composition of Lake Ontario was made to assess the impact of Cercopagis predation. The relative abundance of zooplankton species of Lake Ontario has not changed from the early 1980's. However, Cercopagis has affected the species community composition through decreased abundances of total rotifers and major crustacean species such as Bosmina longirostris, Daphnia retrocurva and Diacyclops thomasi. Laboratory experiments were conducted to determine possible prey species of Cercopagis. Cercopagis is able to prey upon the rotifer Asplanchna priodonta and the cladocerans Bosmina longirostris, Daphnia retrocurva, Ceriodaphnia lacustris, Scapheloberis kingi, Moina micrura and Leptodora kindtii. In situ field experiments were conducted to assess natural zooplankton community impacts. Four different experiments failed to detect significant differences between control and predator treatments, thus predatory effects of Cercopagis were not apparent. Lack of predatory events may be attributed to experimental design. Problems that may have affected results include improper light levels, animal stress, mutual interference by Cercopagis individuals, and mortality of experimental Cercopagis. Source: Masters Abstracts International, Volume: 40-06, page: 1475. Adviser: Hugh MacIsaac. Thesis (M.Sc.)--University of Windsor (Canada), 2001.
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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 | 0.001 | 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".