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Phytoplankton-aloricate ciliate community in the Bahía Blanca Estuary (Argentina): seasonal patterns and trophic groups

2009· article· en· W2073354515 on OpenAlexfundno aff
Rosa E. Pettigrosso, Cecilia A. Popovich

Bibliographic record

VenueBrazilian Journal of Oceanography · 2009
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
FundersUniversidad Nacional del SurUniversity of Guelph
KeywordsTrophic levelCiliatePhytoplanktonEstuaryBiologyMicrobial food webBiomass (ecology)DiatomEcologySpring bloomAbundance (ecology)Chlorophyll aFood webNutrientBotany

Abstract

fetched live from OpenAlex

The seasonal pattern of the phytoplankton-aloricate ciliate community is an adequate indicator of trophic coupling and nutrient cycling in coastal environments. The size-fractionated, abundance, biomass and composition of a phytoplankton-aloricate ciliate community were ascertained in the Bahía Blanca Estuary from February 1994 to February 1995. In addition, ciliate production and excretion rates by size class were estimated. A winter-early spring diatom bloom was the most important event in the annual cycle. To evaluate the significance of phytoplankton size in the food web, <25 µm and > 25 µm fractions of chlorophyll a were determined; the < 25 µm fraction was dominant. To classify the ciliate community in trophic groups, it was divided into volume-size classes, from <10³ µm³to > 10(5) µm³; this wide range of size indicated the potential prey. The smaller ciliates dominated abundance but the larger ones dominated biomass. Values of total ciliates, ranging from 0.2 to 5.2 x 10³ cells L-1 and 0.55 to 83.9 µg C L-1, and levels of total chlorophyll a reached 40.4 µg L-1 and were higher than those recorded for other temperate estuarine systems. The smaller ciliates were potentially important as nitrogen regenerators in summer and spring, when their estimated production was highest. The annual potential production of 3 mg C L-1 represents a reference parameter from which possible changes in the trophic status of this environment could be predicted.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.494

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.013
GPT teacher head0.208
Teacher spread0.196 · 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

Citations23
Published2009
Admission routes1
Has abstractyes

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