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Record W2126952227 · doi:10.2980/i1195-6860-12-4-485.1

Seasonal dynamics of the phytoplankton community and cyanobacterial dominance in a eutrophic crater lake in Los Tuxtlas, Mexico

2005· article· en· W2126952227 on OpenAlexvenueno aff
Gabriela Vázquez, Socorro Jiménez, Mario E. Favila, Ariadna Martínez

Bibliographic record

VenueEcoscience · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPhytoplanktonEutrophicationEcological successionDominance (genetics)Stratification (seeds)PicoplanktonPlanktonEcologyEnvironmental scienceBloomAlgal bloomTrophic state indexTrophic levelWater columnOceanographyBiologyNutrientGeologyBotany

Abstract

fetched live from OpenAlex

:In Los Tuxtlas, Mexico, there are numerous deep crater lakes in varying trophic states. In a warm eutrophic monomictic lake of the region we analyzed changes in the phytoplankton community and how they relate to water quality. During the periods of circulation, early and late stratification, there was an increase in species diversity marked by an increase in the abundance of many species of diatoms and chlorophytes. These periods were characterized by low transparency, high specific conductance, and high concentrations of ammonium and dissolved silica. Microcystis aeruginosa dominated during the entire stratification period, when both diversity and succession rates were low. Stratification was characterized by high temperatures (> 30 °C), low transparency, high pH, and high concentrations of soluble reactive phosphorus and nitrate. Thus, in Lake Chalchoapan, physical changes associated with stratification, circulation, and tropical seasonality determine the succession dynamics of the phytoplankton community.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.259
Threshold uncertainty score0.516

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.206
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), 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

Citations11
Published2005
Admission routes1
Has abstractyes

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