Reconstruction of Centuries-old Daphnia Communities in a Lake Recovering from Acidification and Metal Contamination
Bibliographic record
Abstract
Paleolimnological and molecular genetic techniques were combined to reconstruct the long-term patterns in Daphnia community composition in Hannah Lake--a lake recovering from industrial acidification, metal contamination and faunal extirpation. Like many zooplankters, Daphnia produce diapausing eggs that can remain viable for decades and even over a century. Yet, the appearance of D. mendotae in Hannah Lake during the last two decades is likely the outcome of dispersal from other nearby lakes, not by colonization from the sediment egg-bank. Our genetic tests using PCR, SSCP and sequencing indicate that D. mendotae diapausing eggs are absent within the sediment record of the previous 250 years and that, prior to metal smelting operations in the region, the community was dominated by D. pulicaria. This species shift following the lake's chemical restoration is consistent with earlier historical changes in lake acidity. Environmental fluctuations may have governed community composition throughout Hannah Lake's more ancient past. Extending this molecular-paleolimnological approach to other lakes should help develop more accurate formulations of the biological recovery process.
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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 | 0.001 |
| 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".