Algal community responses to shallow lake dystrophication<sup>1</sup>This article is derived from a special session entitled “A New Hydrology: Inflow Effects on Ecosystem Form and Functioning” that took place at the February 2011 ASLO Aquatic Sciences conference in San Juan, Puerto Rico.
Bibliographic record
Abstract
This research details changes in lake algal community structure that occurred during dystrophication. We conducted a paleolimnological investigation of Pungo Lake, a shallow, dystrophic system near the coast of North Carolina, USA. Multiple chemical and biological proxies were measured on a sediment core, including sedimentary photosynthetic pigments, lignin-phenols, nutrients, and δ13C. Data analysis identified three zones of algal community structure corresponding to three regimes of organic matter inputs. Predystrophic conditions represented a period of low organic inputs but substantial algal abundance (diatoms and other algal types). The period of dystrophication preceded European settlement (1850) and showed an increase in organic matter deposition, lignin, and a change in lignin type. Lignin-phenols and δ13C signatures of organic matter indicated that terrestrial organic matter inputs increased during this period, possibly as a result of wetland expansion. Dystrophication also corresponded to an increase in algal groups that favor low light environments (cyanobacteria and cryptophytes).
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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 | 0.000 | 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) | 0.001 | 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".