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Record W2098751226 · doi:10.1021/es204376e

Reconstruction of Pyrodinium Blooms in the Tropical East Pacific (Mexico): Are They Related to ENSO?

2012· article· en· W2098751226 on OpenAlexaff
Joan-Albert Sánchez-Cabeza, Ana Carolina Ruíz-Fernández, Anne de Vernal, María Luisa Machain-Castillo

Bibliographic record

VenueEnvironmental Science & Technology · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Toxins and Detection Methods
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsAlgal bloomOceanographyDinoflagellateRed tideSea surface temperatureEl Niño Southern OscillationClimatologyEnvironmental scienceGeographyEcologyGeologyPhytoplanktonBiology

Abstract

fetched live from OpenAlex

Some microplanktonic species, mostly dinoflagellates, causing Harmful Algal Blooms (HABs), produce toxins which may affect the environment and human health, thus causing important economic losses. The dinoflagellate Pyrodinium bahamense var. compressum is one of the main species causing harmful algal blooms along the tropical Pacific. Although it was first reported along the Mexican coast in the 1970s, here we report that a sedimentary record of Pyrodinium cysts from the Gulf of Tehuantepec in the tropical East Pacific (Mexico), which spans from the 1860s, showed the continuous occurrence of Pyrodinium cysts and that their presence has been declining in the last few decades. Although Pyrodinium HABs have been attributed to El Niño events in the tropical Indo-West Pacific, the record shows that most blooms in the tropical East Pacific appear in periods of low sea surface temperature and higher rainfall, as can be observed during rapid shifts from cold (La Niña) to warm (El Niño) conditions in that region. This mechanism offers new ways to better predict and facilitate early detection of Pyrodinium HABs worldwide.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.008
GPT teacher head0.233
Teacher spread0.225 · 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.

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

Citations13
Published2012
Admission routes1
Has abstractyes

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