Evidence map›Paper›PMID 40270802›Full record

ArticleEcology and evolution2025

Harnessing Multiscale Topographic Environmental Variables for Regional Coral Species Distribution Models.

Annie S Guillaume, Renata Ferrari, Oliver Selmoni, Véronique J L Mocellin, Hugo Denis, Melissa Naugle, Emily Howells, Line K Bay, Stéphane Joost

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Annie S GuillaumeGeospatial Molecular Epidemiology Group (GEOME), Laboratory for Biological Geochemistry (LGB) École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland.ORCID https://orcid.org/0000-0002-2188-2861
Renata FerrariAustralian Institute of Marine Science Townsville Queensland Australia.ORCID https://orcid.org/0000-0002-5056-1178
Oliver SelmoniDepartment of Embryology Carnegie Institution for Science Baltimore Maryland USA.ORCID https://orcid.org/0000-0003-0904-5486
Véronique J L MocellinAustralian Institute of Marine Science Townsville Queensland Australia.ORCID https://orcid.org/0000-0001-9913-302X
Hugo DenisUMR250/9220 ENTROPIE (IRD-CNRS-UR-IFREMER-UNC) Noumea Cedex New Caledonia France.ORCID https://orcid.org/0000-0003-2909-6299
Melissa NaugleNational Marine Science Centre, Faculty of Science and Engineering Southern Cross University Coffs Harbour New South Wales Australia.ORCID https://orcid.org/0000-0003-4127-5150
Emily HowellsNational Marine Science Centre, Faculty of Science and Engineering Southern Cross University Coffs Harbour New South Wales Australia.ORCID https://orcid.org/0000-0001-7732-2372
Line K BayAustralian Institute of Marine Science Townsville Queensland Australia.ORCID https://orcid.org/0000-0002-9760-2977
Stéphane JoostGeospatial Molecular Epidemiology Group (GEOME), Laboratory for Biological Geochemistry (LGB) École Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland.ORCID https://orcid.org/0000-0002-1184-7501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective biodiversity conservation requires knowledge of species' distributions across large areas, yet prevalence data for marine sessile species is scarce, with traditional variables often unavailable at appropriate temporal and spatial resolutions. As marine organism distributions generally depend on terrain heterogeneity, topographic variables derived from digital elevation models (DEMs) can be useful proxies in ecological modelling, given appropriate spatial resolutions. Here, we use three reef-building

Indexed as

bathymetry digital elevation model (DEMs)multiscale analysesseascape ecologyspatial scalespecies distribution modelling (SDM)terrain attributes

Identifiers

PMID40270802
PMCPMC12017900

What OpenQuestion holds

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Registered trials

None linked

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.