Elemental dynamics and interactions in a carbonate-buffered, sulfatic and ferruginous lake
Bibliographic record
Abstract
Lake Medard is a recently established post-mining lake in the northwest of Czech Republic that displays significant concentrations of dissolved sulfate (dSO42-) and ferrous iron (Fe2+) in its density and redox stratified bottom water column. Siderite-buffered anoxic sediments, also rich in iron(III)-oxyhydroxides, underlie that water column characterized by limited labile organic substrates. This composition sustain a transitional redox state between nitrogenous/ferruginous and euxinic conditions. Our study focuses on the Lake Medard bottom water column elemental concentration profiles, sulfate-sulfur and -oxygen isotope compositions, bioactive ion concentrations, and planktonic microbiome data, combined with mineralogical and isotopic analyses of the upper anoxic sediments. This integrative approach reveals that the internal biogeochemical iron cycling is interlinked with that of nitrogen, sulfur and other redox sensitive metals. Minor seasonal oscillations in the monimolimnion redox potential impact mineral dissolution/(re)precipitation reactions, causing shifts in metal partitioning within anoxic sediments. Carbonate-buffered reactions appear to respond to a subsurface CO2 flux thereby influencing monimolimnial alkalinity and dissolved inorganic carbon concentrations. These hydrochemical modifications shift the sedimentary redox signals, occasionally favoring carbonate over oxyhydroxide metal-binding processes. Our findings address the fate of newly formed sedimentary oxyhydroxides in a transitional redox-stratified water column featuring ferruginous conditions without quantitative sulfate depletion to provide insights on interlinked biogeochemical processes within a concise framework
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".