Evidence map›Paper›PMID 40635779›Full record

ArticleBiodiversity data journal2025

Metabarcoding arthropods in agroecosystems in Southern Ontario, Canada.

Dirk Steinke, Kate Hj Perez, Sean W J Prosser, Jayme E Sones, Jireh Ra Agda, Stephanie L deWaard, Jeremy R deWaard, Evgeny V Zakharov, Sujeevan Ratnasingham, Paul D N Hebert and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biodiversity data journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Dirk SteinkeCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.ORCID https://orcid.org/0000-0002-8992-575X
Kate Hj PerezCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
Sean W J ProsserCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
Jayme E SonesCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.ORCID https://orcid.org/0009-0007-6078-1688
Jireh Ra AgdaCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
Stephanie L deWaardCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
Jeremy R deWaardUniversity of Guelph, Guelph, Canada University of Guelph Guelph Canada.ORCID https://orcid.org/0000-0001-9778-5454
Evgeny V ZakharovCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
Sujeevan RatnasinghamCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.
Paul D N HebertCentre for Biodiversity Genomics, University of Guelph, Guelph, Canada Centre for Biodiversity Genomics, University of Guelph Guelph Canada.ORCID https://orcid.org/0000-0002-3081-6700
John FryxellIntegrative Biology, University of Guelph, Guelph, Canada Integrative Biology, University of Guelph Guelph Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabarcoding can generate large numbers of georeferenced occurrence data from bulk samples at low cost. Its integration into the practice of agricultural invertebrate biomonitoring currently lacks both standard methods and example datasets that allow the identification of potential challenges and uncertainties. New information: For this study, we gathered metabarcoding data of terrestrial arthropods from Malaise trap samples across sites in southern Ontario, spanning a gradient from high production, intensely farmed areas to alternative land use farms with varying amounts of natural restoration of marginal lands. The result is one of the largest datasets available for comparison of how agricultural practices influence arthropod biodiversity.

Indexed as

COIDNA-based identificationsfarmland biodiversityinsectspestspollinators

Identifiers

PMID40635779
PMCPMC12238963

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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.