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Phosphorus release from sediments in hardwater eutrophic lakes: the effects of redox‐sensitive and ‐insensitive chemical treatments

2001· article· en· W2059035413 on OpenAlexaffabout
Kim L. Burley, Ellie E. Prepas, Patricia A. Chambers

Bibliographic record

VenueFreshwater Biology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRedoxPhosphorusEnvironmental chemistryEutrophicationSedimentLimeAlumChemistryNutrientInorganic chemistryGeology

Abstract

fetched live from OpenAlex

1. Phosphorus (P) release from bottom sediments is an important source of nutrient enrichment in many lakes in sedimentary basins, such as those in western Canada. On the Boreal Plain, sediment P release is particularly strong during periods of seasonal anoxia. 2. In this study, the effects of reduction–oxidation (redox)‐sensitive and ‐insensitive chemicals on P release were examined in sediment cores collected from three eutrophic lakes. 3. Contrary to expectations, redox‐sensitive treatments were no more effective at lowering total phosphorus (TP) in sediment cores than some redox‐insensitive treatments. Redox‐sensitive treatments with FeCl 3 and FeCl 3 + O 2 reduced TP to 8 and 6%, respectively, of reference concentrations, whereas redox‐insensitive treatments with alum or lime + alum reduced TP to 14% of reference concentrations. Lime and O 2 treatments reduced TP concentrations to 35 and 52% of reference concentrations, respectively. 4. The fraction of P that adsorbed and co‐precipitated with iron and aluminium in the sediment cores was low (non‐apatite phosphorus fractions < 5%), suggesting that P release was controlled by apatite solubility and bacterial metabolism.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.199
Teacher spread0.195 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations76
Published2001
Admission routes2
Has abstractyes

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