Evidence map›Paper›PMID 39971762›Full record

ArticleScientific reports2025

Micro-CT analysis reveals porosity driven growth banding in Caribbean coral Siderastrea siderea.

James Vincent, Tom Sheldrake

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

James VincentDepartment of Earth Sciences, University of Geneva, Genève, Switzerland. james.vincent@unige.ch.ORCID 0009-0000-8945-3919
Tom SheldrakeDepartment of Earth Sciences, University of Geneva, Genève, Switzerland.ORCID 0000-0002-7192-4273

Funding

Swiss National Science Foundation 194204
6 · The paper itself

Abstract

X-radiography of massive scleractinian coral skeletons reveal light and dark couplets termed "growth bands", which are commonly related to seasonal fluctuations in environmental parameters including insolation and sea surface temperature (SST). Massive corals grow by extension of skeletal structures followed by thickening within the surface tissue layer. Therefore, an understanding of the depth in which skeletal thickening occurs is important to aid the interpretation of seasonal banding patterns. In this study, two colonies of Caribbean coral Siderastrea siderea were sampled from the north-west coast of Barbados at water depths of 5 and 15 m. The three-dimensional skeletal structure of each sample was reconstructed at high spatial resolutions using micro-computed tomography (µCT) scanning. A pixel segmentation algorithm was developed to classify different microstructures within the skeleton and to quantify spatial variations in corallite and theca porosity at the micrometer scale. The porosity reconstructions of the deeper sample reveal clearer growth banding, with a more dominant signal originating from within the corallite. Skeletal thickening occurs within the top two-thirds of the total depth of soft tissues and the rate of thickening varies between microstructures. Seasonality in the shallower sample is less clear, although porosity variability with depth is more similar across microstructures. The difference in signal origin and clarity between the two samples is attributed to the varying stability of water depth-dependent variables (i.e., insolation and wave energy). This study provides a new, powerful method of reconstructing and understanding growth strategies in massive scleractinian corals.

Indexed as

AnthozoaX-Ray MicrotomographyAnimalsCaribbean RegionPorositySeasonsCaribbeanDensity bandingScleractinianSeasonalitySegmentationTomography

Identifiers

PMID39971762
PMCPMC11840155

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.