MétaCan
Menu
Back to cohort
Record W2331337256 · doi:10.3354/meps08902

Heterotrophy in the Mediterranean symbiotic coral Cladocora caespitosa: comparison with two other scleractinian species

2010· article· en· W2331337256 on OpenAlexfundno aff
P. Tremblay, Andrea Peirano, Christine Ferrier‐Pagès

Bibliographic record

VenueMarine Ecology Progress Series · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCentre Scientifique de Monaco
KeywordsCoralBiologyMediterranean climateHeterotrophMediterranean seaBotanyAnthozoaEcology

Abstract

fetched live from OpenAlex

This experimental study assessed the grazing rates of the Mediterranean symbiotic coral Cladocora caespitosa on the 4 main food sources available in its natural environment: detrital particulate organic matter (DPOM) and pico-, nano-, and microzooplankton. These rates were compared to the rates of 2 other scleractinian symbiotic species, the Mediterranean coral Oculina patagonica and the tropical coral Turbinaria reniformis. Results showed that C. caespitosa was the species with the highest grazing rates of pico-and nanoplankton, which contributed to more than half of the carbon supplied by photosynthesis. The daily heterotrophic carbon (C) input from these prey (at in situ concentrations) was 88.3 22.9, 16.9 8.2, and 17.6 4.3 g C cm -2 d -1 for C. caespitosa, O. patagonica, and T. reniformis, respectively, corresponding to a percent contribution of heterotrophically acquired C to daily animal respiration (CHAR) of 119.8, 28.7, and 15.9%, respectively. C. caespitosa was also able to derive a significant part of its carbon needs from the grazing of microzooplankton and DPOM. Indeed, considering the in situ concentrations, the daily heterotrophic C input from microzooplankton and DPOM would be 32.6 and 10.0 g C cm -2 d -1 , giving a CHAR estimation of 44.2 and 13.6%, respectively. Heterotrophy therefore plays a major role in the energy budget of this temperate species.

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 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 score0.089
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.249
Teacher spread0.234 · 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

Citations42
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueMarine Ecology Progress SeriesSame topicCoral and Marine Ecosystems StudiesFrench-language works237,207