Evidence map›Paper›PMID 36407846›Full record

ArticleCommunications earth & environment2022

Global patterns and predictors of C:N:P in marine ecosystems.

Tatsuro Tanioka, Catherine A Garcia, Alyse A Larkin, Nathan S Garcia, Adam J Fagan, Adam C Martiny

Abstract read
In one paragraph

Article in Communications earth & environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  6. Observed declines in upper ocean phosphate-to-nitrate availability.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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.

Tatsuro TaniokaDepartment of Earth System Science, University of California Irvine, Irvine, CA USA.ORCID 0000-0003-2794-7678
Catherine A GarciaDepartment of Earth System Science, University of California Irvine, Irvine, CA USA.
Alyse A LarkinDepartment of Earth System Science, University of California Irvine, Irvine, CA USA.ORCID 0000-0003-4466-0791
Nathan S GarciaDepartment of Earth System Science, University of California Irvine, Irvine, CA USA.
Adam J FaganDepartment of Earth System Science, University of California Irvine, Irvine, CA USA.
Adam C MartinyDepartment of Earth System Science, University of California Irvine, Irvine, CA USA.ORCID 0000-0003-2829-4314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oceanic nutrient cycles are coupled, yet carbon-nitrogen-phosphorus (C:N:P) stoichiometry in marine ecosystems is variable through space and time, with no clear consensus on the controls on variability. Here, we analyze hydrographic, plankton genomic diversity, and particulate organic matter data from 1970 stations sampled during a global ocean observation program (Bio-GO-SHIP) to investigate the biogeography of surface ocean particulate organic matter stoichiometry. We find latitudinal variability in C:N:P stoichiometry, with surface temperature and macronutrient availability as strong predictors of stoichiometry at high latitudes. Genomic observations indicated community nutrient stress and suggested that nutrient supply rate and nitrogen-versus-phosphorus stress are predictive of hemispheric and regional variations in stoichiometry. Our data-derived statistical model suggests that C:P and N:P ratios will increase at high latitudes in the future, however, changes at low latitudes are uncertain. Our findings suggest systematic regulation of elemental stoichiometry among ocean ecosystems, but that future changes remain highly uncertain.

Indexed as

Element cyclesMarine chemistry

Identifiers

PMID36407846
PMCPMC9640808

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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.