The regulation of phytoplankton population dynamics in the world’s largest lakes
Bibliographic record
Abstract
Abstract The world’s largest lakes, really inland seas, are characterised by long retention times, and are dominated by internal physical forcing, generally low nutrient loadings and predominantly internal recycling. Most are oligotrophic. Many are severely phosphorus deficient. Certainly few ever support large crops of phytoplankton. Horizontal heterogeneity sometimes permits enhanced production in shallow bays or behind thermal bars and occasional blooms develop under conditions of near-surface stratification. An assessment of published information on the composition and seasonality of phytoplankton in the open water habitats of these lakes confirms the oligotrophic nature of the world’s great lakes. There is a predominance of diatoms at all latitudes; chrysophytes are seasonally prominent in some lakes at high latitude; other flagellates, including dinoflagellates, and species of cyanobacteria represent increasing proportions of the pelagic biomass towards the equator. There is an indication that species composition is influenced by underwater light availability and a positive correlation between Microcystis plankton and relatively higher concentrations of total phosphorus (TP > 30 μg l-1) is suggested. Picoplankton is apparently abundant during periods of relatively high insolation of the water column. Although the carrying capacity of the nutrients available is scarcely large, the production of biomass is strongly related to seasonal variability in the intensity and extent of water-column mixing and its relation to the periodicity and underwater penetration of photosynthetically active radiation. Attainment of nutrientlimited crops generally coincides with shallow mixing whereas deep circulation suppresses production. The differential effects of latitude, local climate and salinity upon this general deduction are also evaluated. The role of grazing, its contribution to nutrient recycling, and its contribution to sustaining pelagic food webs, is also considered. The paper makes some deductions about the threats placed on large-lake ecosystems by pollution, eutrophication and acidification and upon how their ecosystem health might be monitored and conserved in the future.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".