Evidence map›Paper›PMID 30811453›Full record

ArticlePloS one2019

Isotopic variance among plant lipid homologues correlates with biodiversity patterns of their source communities.

Clayton R Magill, Geoffrey Eglinton, Timothy I Eglinton

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The origin and development of the Miocene northwest African savanna.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Using sedimentary ancient DNA in coastal and marine contexts to explore past human-environmental interactions in Australia.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
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

3 authors.

Clayton R MagillLyell Centre, Heriot-Watt University, Edinburgh, United Kingdom.ORCID 0000-0002-7447-6277
Geoffrey EglintonDepartment of Earth Sciences, University of Bristol, Bristol, United Kingdom.
Timothy I EglintonGeological Institute, ETH Zürich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plant diversity is important to human welfare worldwide, and this importance is exemplified in subtropical and tropical [(sub)tropical] African savannahs where regional biodiversity enhances the sustaining provision of basic ecosystem services available to millions of residents. Yet, there is a critical lack of knowledge about how savannahs respond to climate change. Here, we report the relationships between savannah vegetation structure, species richness, and bioclimatic variables as recorded by plant biochemical fossils, called biomarkers. Our analyses reveal that the stable carbon isotope composition (δ13C) of discrete sedimentary plant biomarkers reflects vegetation structure, but the isotopic range among plant biomarkers-which we call LEaf Wax Isotopic Spread (LEWIS)-reflects species richness. Analyses of individual biomarker δ13C values and LEWIS for downcore sediments recovered from southeast Africa reveal that the region's species richness mirrored trends in atmospheric carbon dioxide concentration (pCO2) throughout the last 25,000 years. This suggests that increasing pCO2 levels during post-industrialization may prompt future declines in regional biodiversity (1-10 species per unit CO2 p.p.m.v.) through imminent habitat loss or extinction.

Indexed as

BiodiversityLipidsLipid MetabolismPlantsLipids

Identifiers

PMID30811453
PMCPMC6392421

What OpenQuestion holds

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LicenceCC BY
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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.