Transitions in Dissolved Organic Phosphorus and Dissolved Organic Carbon Across a Freshwater Estuary Gradient
Bibliographic record
Abstract
Abstract Despite the significant role that dissolved organic phosphorus (DOP) plays in ecosystem productivity, efforts to characterize inputs of phosphorus (P) into lakes have largely ignored P fractions complexed to dissolved organic matter (DOM). To address this gap, we characterized DOP and DOM along a transect of a Lake Erie tributary (Kettle Creek) from the headwaters to the rivermouth and into the nearshore and offshore central basin. DOM and DOP characteristics impart a chemical fingerprint that is useful for determining source and production in aquatic ecosystems. We analyzed DOM composition and concentration (DOC; organic carbon) in addition to DOP as phosphomonoesters (MP; predominantly terrestrial in origin) and phosphodiesters (DP; microbially‐produced), along with other water quality parameters. DOM and DOC within the river were relatively invariant. While there were no consistent trends in riverine MP and DP, an impoundment on the river appeared to act as a sink for some soluble P forms and a potential source of DP. At the rivermouth, we observed a rapid decrease in DOC, DOP, and total P and a shift to more autochthonous‐like DOM, though the decrease in DP was weaker. Relative to in‐flowing river water, P pools in nearshore and offshore Lake Erie were enriched in DOP, especially DP. DOP accounted for up to 42% of total P in Kettle Creek and up to 92% in Lake Erie's central basin. Our work shows the importance of considering DOP in P management efforts as its dynamics differ from those of other, more commonly measured P forms.
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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 | 0.000 | 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) | 0.000 | 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".