Evidence map›Paper›PMID 35778387›Full record

ArticleNature communications2022

Separating natural from human enhanced methane emissions in headwater streams.

Yizhu Zhu, J Iwan Jones, Adrian L Collins, Yusheng Zhang, Louise Olde, Lorenzo Rovelli, John F Murphy, Catherine M Heppell, Mark Trimmer

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Recognizing Agricultural Headwaters as Critical Ecosystems.Environmental science & technology · 2024
    Review
  6. Article
  7. 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

9 authors.

Yizhu ZhuSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK.ORCID 0000-0002-8136-2809
J Iwan JonesSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK.
Adrian L CollinsSustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, UK.
Yusheng ZhangSustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, Devon, EX20 2SB, UK.
Louise OldeSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK.
Lorenzo RovelliInstitute for Environmental Sciences, University of Koblenz-Landau, Landau, Germany.
John F MurphySchool of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK.ORCID 0000-0003-2102-7686
Catherine M HeppellSchool of Geography, Queen Mary University of London, London, E1 4NS, UK.
Mark TrimmerSchool of Biological and Behavioural Sciences, Queen Mary University of London, London, E1 4NS, UK. m.trimmer@qmul.ac.uk.ORCID 0000-0002-9859-5537

Funding

Biotechnology and Biological Sciences Research Council BBS/E/C/000I0330
6 · The paper itself

Abstract

Headwater streams are natural sources of methane but are suffering severe anthropogenic disturbance, particularly land use change and climate warming. The widespread intensification of agriculture since the 1940s has increased the export of fine sediments from land to streams, but systematic assessment of their effects on stream methane is lacking. Here we show that excess fine sediment delivery is widespread in UK streams (n = 236) and, set against a pre-1940s baseline, has markedly increased streambed organic matter (23 to 100 g m

Indexed as

MethaneRiversAgricultureGeologic SedimentsHumansMethane

Identifiers

PMID35778387
PMCPMC9249869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.