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Record W2317284895 · doi:10.3354/meps10422

Skeletal growth of four scleractinian corals is not enhanced by in situ mesozooplankton enrichment

2013· article· en· W2317284895 on OpenAlexaboutno aff
AL Alldredge, SJ Holbrook, RJ Schmitt, AJ Brooks, Hannah L. Stewart

Bibliographic record

VenueMarine Ecology Progress Series · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicCoral and Marine Ecosystems Studies
Canadian institutionsnot available
FundersW. M. Keck FoundationUniversity of California, Santa BarbaraNational Science Foundation
KeywordsCoralZooplanktonOceanographyPoritesEcologyBiologyPhytoplanktonEnvironmental scienceNutrientGeology

Abstract

fetched live from OpenAlex

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 489:143-153 (2013) - DOI: https://doi.org/10.3354/meps10422 Skeletal growth of four scleractinian corals is not enhanced by in situ mesozooplankton enrichment Alice L. Alldredge1,2,*, Sally J. Holbrook1,2, Russell J. Schmitt1,2, Andrew J. Brooks1, Hannah Stewart1,3 1Coastal Research Center, Marine Science Institute, and 2Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, California 93106-9610, USA 3Present address: West Vancouver Laboratory, Fisheries and Oceans Canada, West Vancouver, British Columbia V7V 1N6, Canada *Email: alldredge@lifesci.ucsb.edu ABSTRACT: The importance of heterotrophy in enhancing the skeletal growth of corals in transparent, shallow tropical waters is unclear. The impact of food availability on coral growth was examined by enriching the abundance of naturally occurring mesozooplankton (>200 µm in width) in situ nightly for 1 mo around transplanted fragments of 4 coral species (Pocillopora verrucosa, Acropora nasuta, Porites rus, Montipora sp.) in a lagoon of Moorea, French Polynesia. Zooplankton were attracted to the corals throughout each night using light from gallium nitride light-emitting diodes tuned to 1 of 4 wavelengths (590 nm [amber], 525 nm [green], 470 nm [blue], 400 nm [near UV, hereafter called violet]). An unlit light source was used as control. Mean total zooplankton abundance and biomass were significantly enriched above ambient concentrations by a factor of 3 to 14 times under green, blue, and violet wavelengths; amber did not enrich abundance or biomass. The mean abundance of specific taxa known to be favored for ingestion by corals (e.g. amphipods, mysids, polychaetes, crustacean larvae) was significantly enriched by as much as 100-fold. Despite sustained increases in the availability of mesozooplankton, none of the 4 coral species experienced higher skeletal growth under zooplankton enrichment compared to those exposed to ambient zooplankton concentrations. This pattern supports the conclusion that skeletal growth of healthy corals living in shallow, light-replete habitats may be adapted for greater reliance on autotrophy. The low ambient flux of zooplankton appears sufficient to meet the heterotrophic needs of the coral species investigated. KEY WORDS: Coral skeletal growth · Mesozooplankton · Coral feeding · Zooplankton enrichment · Coral heterotrophy Full text in pdf format PreviousNextCite this article as: Alldredge AL, Holbrook SJ, Schmitt RJ, Brooks AJ, Stewart H (2013) Skeletal growth of four scleractinian corals is not enhanced by in situ mesozooplankton enrichment. Mar Ecol Prog Ser 489:143-153. https://doi.org/10.3354/meps10422 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 489. Online publication date: August 28, 2013 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2013 Inter-Research.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
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 head0.216
Teacher spread0.208 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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