Temporal changes in nitrogen and phosphorus codeficiency of plankton in lakes of coastal and interior British Columbia
Bibliographic record
Abstract
Plankton nutrient limitation and deficiency were assessed in six coastal and four interior lakes and reservoirs in British Columbia. Ultimate nutrient limitation was defined as occurring over longer time scales (months to years) and represented the potential attainable biomass or yield. Proximate nutrient deficiency reflected plankton physiological status and, therefore, represented potential limitations of instantaneous growth rates. All lakes and reservoirs were considered to be ultimately P-limited according to total N to total P ratios (TN:TP). However, both P and N deficiencies were found to occur at the same time, suggesting that when deficiency occurs, codeficiency is common. The <3 µm size fraction accounted for a large proportion of P debt, whereas the >3 µm size fraction accounted for most of the ammonium-enhanced response. Thus, plankton size is important for understanding nutrient deficiencies in plankton communities. Our results stress (i) the importance of measuring proximate deficiencies at greater temporal resolution, (ii) that N and P were commonly found to be codeficient, (iii) the need to define nutrient limitation and deficiency in the context of the method used, and (iv) that several concurrent measures of deficiency are required to assess the nutrient status of plankton communities.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".