Microzooplankton herbivory and bacterivory in Newfoundland coastal waters during spring, summer and winter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. Grazing by microzooplankton on autotrophic and heterotrophic picoplankton as well as>0.7 µm phytoplankton (as measured by chlorophyll a) was quantified during July, August, October, January and April in the surface layer of Logy Bay, Newfoundland (47°389140N, 52°399360W). Rates of growth and grazing mortality of bacteria, Synechococcus and>0.7 µm phytoplankton were measured using the sea water dilution technique. Microzooplankton ingested 83–184, 96–366 and 64–118 % of bacterial, Synechococcus and>0.7 µm phytoplankton daily potential production, respec-tively and 34–111, 25–30 and 16–131 % of bacterial, Synechococcus and>0.7 µm phytoplankton standing stocks, respectively. The trends in prey net growth rates followed the seasonal cycles of prey biomass, suggesting that microzooplankton are important grazers in Newfoundland coastal waters. Ingestion was lowest during January and October (~2 µg C l–1 day–1) and highest in August (~20 µg C l–1 day–1). Aside from April when>0.7 µm phytoplankton represented the majority (~80%) of carbon ingested, bacterioplankton and <1 µm phytoplankton represented most of the carbon ingested (~40–100%). Although microzooplankton have here-to-fore been unrecognized as an important grazer population in Newfoundland coastal waters, these results suggest that they play an important role in carbon flow within the pelagic food web, even at low temperatures in Logy Bay.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it