Evidence map›Paper›PMID 33784872›Full record

ArticleBiology letters2021

Detecting flying insects using car nets and DNA metabarcoding.

Cecilie S Svenningsen, Tobias Guldberg Frøslev, Jesper Bladt, Lene Bruhn Pedersen, Jonas Colling Larsen, Rasmus Ejrnæs, Camilla Fløjgaard, Anders Johannes Hansen, Jacob Heilmann-Clausen, Robert R Dunn and 1 more

Abstract read
In one paragraph

Article in Biology letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Effects of land cover and protected areas on flying insect diversity.Conservation biology : the journal of the Society for Conservation Biology · 2025
    Article
  5. Article
  6. Emerging technologies in citizen science and potential for insect monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  7. Article
  8. Discrimination of Hover Fly Species and Sexes by Wing Interference Signals.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  9. Article
  10. Remote Nanoscopy with Infrared Elastic Hyperspectral Lidar.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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

11 authors.

Cecilie S SvenningsenNatural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Tobias Guldberg FrøslevSection for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
Jesper BladtDepartment of Bioscience-Biodiversity and Conservation, Aarhus University, Aarhus, Denmark.
Lene Bruhn PedersenNatural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Jonas Colling LarsenNatural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
Rasmus EjrnæsDepartment of Bioscience-Biodiversity and Conservation, Aarhus University, Aarhus, Denmark.
Camilla FløjgaardDepartment of Bioscience-Biodiversity and Conservation, Aarhus University, Aarhus, Denmark.
Anders Johannes HansenSection for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
Jacob Heilmann-ClausenCentre for Macroecology, Evolution and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.
Robert R DunnDepartment of Applied Ecology, North Carolina State University, Raleigh, NC, USA.
Anders P TøttrupNatural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring insects across space and time is challenging, due to their vast taxonomic and functional diversity. This study demonstrates how nets mounted on rooftops of cars (car nets) and DNA metabarcoding can be applied to sample flying insect richness and diversity across large spatial scales within a limited time period. During June 2018, 365 car net samples were collected by 151 volunteers during two daily time intervals on 218 routes in Denmark. Insect bulk samples were processed with a DNA metabarcoding protocol to estimate taxonomic composition, and the results were compared to known flying insect richness and occurrence data. Insect and hoverfly richness and diversity were assessed across biogeographic regions and dominant land cover types. We detected 15 out of 19 flying insect orders present in Denmark, with high proportions of especially Diptera compared to Danish estimates, and lower insect richness and diversity in urbanized areas. We detected 319 species not known for Denmark and 174 species assessed in the Danish Red List. Our results indicate that the methodology can assess the flying insect fauna at large spatial scales to a wide extent, but may be, like other methods, biased towards certain insect orders.

Indexed as

AutomobilesDipteraAnimalsBiodiversityDNADNA Barcoding, TaxonomicHumansInsectaDNAcar netscitizen scienceCOIDNA metabarcodinginsect diversitymass collected insects

Identifiers

PMID33784872
PMCPMC8086955

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.