Evidence map›Paper›PMID 29051522›Full record

ArticleNature communications2017

Marine biogeographic realms and species endemicity.

Mark J Costello, Peter Tsai, Pui Shan Wong, Alan Kwok Lun Cheung, Zeenatul Basher, Chhaya Chaudhary

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing 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

78 citing papers in PubMed.

  1. Review
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  13. Drivers of genetic diversity across the marine tree of life.bioRxiv : the preprint server for biology · 2025
    Article
  14. Independent transitions to fully planktonic life cycles shaped the global distribution of medusozoans in the epipelagic zone.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Article
  16. Trophic convergence of marine vertebrate communities worldwide.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  17. Article
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  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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

6 authors.

Mark J CostelloInstitute of Marine Science, University of Auckland, Auckland, 1142, New Zealand. m.costello@auckland.ac.nz.ORCID http://orcid.org/0000-0003-2362-0328
Peter TsaiBioinformatics Institute, University of Auckland, Auckland, 1142, New Zealand.
Pui Shan WongBioinformatics Institute, University of Auckland, Auckland, 1142, New Zealand.
Alan Kwok Lun CheungSchool of Environment, University of Auckland, Auckland, 1142, New Zealand.
Zeenatul BasherInstitute of Marine Science, University of Auckland, Auckland, 1142, New Zealand.
Chhaya ChaudharyInstitute of Marine Science, University of Auckland, Auckland, 1142, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine biogeographic realms have been inferred from small groups of species in particular environments (e.g., coastal, pelagic), without a global map of realms based on statistical analysis of species across all higher taxa. Here we analyze the distribution of 65,000 species of marine animals and plants, and distinguish 30 distinct marine realms, a similar proportion per area as found for land. On average, 42% of species are unique to the realms. We reveal 18 continental-shelf and 12 offshore deep-sea realms, reflecting the wider ranges of species in the pelagic and deep-sea compared to coastal areas. The most widespread species are pelagic microscopic plankton and megafauna. Analysis of pelagic species recognizes five realms within which other realms are nested. These maps integrate the biogeography of coastal and deep-sea, pelagic and benthic environments, and show how land-barriers, salinity, depth, and environmental heterogeneity relate to the evolution of biota. The realms have applications for marine reserves, biodiversity assessments, and as an evolution relevant context for climate change studies.

Indexed as

Aquatic OrganismsAnimalsOceans and SeasPhylogeography

Identifiers

PMID29051522
PMCPMC5648874

What OpenQuestion holds

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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.