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Response of plankton communities to whole‐lake Ca(OH)<sub>2</sub> and CaCO<sub>3</sub> additions in eutrophic hardwater lakes

2001· article· en· W2086661618 on OpenAlexaff
Ying Zhang, Anas Ghadouani, Ellie E. Prepas, Bernadette Pinel‐Alloul, Sharon Reedyk, Patricia A. Chambers, Richard D. Robarts, Ginette Méthot, Assia Raik, Meike Holst

Bibliographic record

VenueFreshwater Biology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsUniversité du Québec à MontréalUniversité de MontréalUniversity of Alberta
Fundersnot available
KeywordsLimeEutrophicationPlanktonZooplanktonPhytoplanktonCalciteEnvironmental scienceBiomass (ecology)Lake ecosystemEcologyNutrientEnvironmental chemistryOceanographyChemistryBiologyEcosystemMineralogyGeology

Abstract

fetched live from OpenAlex

1. The impact of whole‐lake lime (slaked lime, Ca(OH) 2 , and/or calcite, CaCO 3 ) addition on plankton communities was evaluated in eutrophic hardwater lakes on the North American Boreal Plain. 2. Two lakes received a single treatment of lime (Ca(OH) 2 at 74 or 107 mg L –1 ), two lakes received multiple treatments with Ca(OH) 2 and/or CaCO 3 (5–78 mg L –1 ), and four lakes were untreated and served as reference systems. 3. Over the long‐term (&gt; 1 year), phytoplankton biomass was reduced in multiple‐dose lakes, but not in single‐dose lakes. Cyanobacteria typically dominated the algal community in the years before, during and after lime treatment in both single‐ and multiple‐dose lakes. 4. In the single‐dose lakes, randomized intervention analysis showed no significant change in the biomass of zooplankton after lime addition.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.445
Threshold uncertainty score0.846

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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 designBench or experimental
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

Citations23
Published2001
Admission routes1
Has abstractyes

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