Evidence map›Paper›PMID 36354219›Full record

ArticleeLife2022

Environmental DNA from archived leaves reveals widespread temporal turnover and biotic homogenization in forest arthropod communities.

Henrik Krehenwinkel, Sven Weber, Rieke Broekmann, Anja Melcher, Julian Hans, Rüdiger Wolf, Axel Hochkirch, Susan Rachel Kennedy, Jan Koschorreck, Sven Künzel and 8 more

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  13. Towards holistic insect monitoring: species discovery, description, identification and traits for all insects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  14. 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

18 authors.

Henrik Krehenwinkel *University of Trier, Trier, Germany.ORCID 0000-0001-5069-8601
Sven Weber *University of Trier, Trier, Germany.
Rieke BroekmannUniversity of Trier, Trier, Germany.
Anja MelcherUniversity of Trier, Trier, Germany.
Julian HansUniversity of Trier, Trier, Germany.
Rüdiger WolfUniversity of Trier, Trier, Germany.ORCID 0000-0002-8144-5954
Axel HochkirchUniversity of Trier, Trier, Germany.
Susan Rachel KennedyUniversity of Trier, Trier, Germany.ORCID 0000-0002-1616-3985
Jan KoschorreckGerman Federal Environment Agency, Berlin, Germany.
Sven KünzelMax Planck Institute for Evolutionary Biology, Plön, Germany.
Christoph MüllerLudwig Maximilians University, Munich, Germany.
Rebecca RetzlaffUniversity of Trier, Trier, Germany.
Diana TeubnerUniversity of Trier, Trier, Germany.
Sonja SchanzerLudwig Maximilians University, Munich, Germany.
Roland KleinUniversity of Trier, Trier, Germany.ORCID 0000-0001-8735-0393
Martin PaulusUniversity of Trier, Trier, Germany.
Thomas UdelhovenUniversity of Trier, Trier, Germany.
Michael VeithUniversity of Trier, Trier, Germany.ORCID 0000-0002-7530-4856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major limitation of current reports on insect declines is the lack of standardized, long-term, and taxonomically broad time series. Here, we demonstrate the utility of environmental DNA from archived leaf material to characterize plant-associated arthropod communities. We base our work on several multi-decadal leaf time series from tree canopies in four land use types, which were sampled as part of a long-term environmental monitoring program across Germany. Using these highly standardized and well-preserved samples, we analyze temporal changes in communities of several thousand arthropod species belonging to 23 orders using metabarcoding and quantitative PCR. Our data do not support widespread declines of

Indexed as

ArthropodsDNA, EnvironmentalAnimalsBiodiversityEcosystemForestsInsectaDNA, Environmentalarthropodsecologyenvironmental DNAgeneticsgenomicsinsect declinemetabarcoding

Identifiers

PMID36354219
PMCPMC9767467

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.