Evidence map›Paper›PMID 34793570›Full record

ArticlePloS one2021

Continuous monitoring of aerial density and circadian rhythms of flying insects in a semi-urban environment.

Adrien P Genoud, Gregory M Williams, Benjamin P Thomas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 14% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Continental-scale patterns in diel flight timing of high-altitude migratory insects.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
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 at 2 institutions in 1 country.

Adrien P GenoudDepartment of Physics, New Jersey Institute of Technology, Newark, New Jersey, United States of America.ORCID 0000-0002-1837-7901
Gregory M WilliamsCenter for Vector Biology, Rutgers University, New Brunswick, New Jersey, United States of America.ORCID 0000-0001-9760-6831
Benjamin P ThomasDepartment of Physics, New Jersey Institute of Technology, Newark, New Jersey, United States of America.ORCID 0000-0002-8880-0795
New Jersey Institute of Technology · USRutgers, The State University of New Jersey · US

Funding

Monitoring mosquito eco-systems and vector-control strategies using a stand-off optical sensor.R21AI153732 · NIAID · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI THOMAS, BENJAMIN P · 2021 to 2022
$338k
NIAID NIH HHS R21 AI153732
6 · The paper itself

Abstract

Although small in size, insects are a quintessential part of terrestrial ecosystems due to their large number and diversity. While captured insects can be thoroughly studied in laboratory conditions, their population dynamics and abundance in the wild remain largely unknown due to the lack of accurate methodologies to count them. Here, we present the results of a field experiment where the activity of insects has been monitored continuously over 3 months using an entomological stand-off optical sensor (ESOS). Because its near-infrared laser is imperceptible to insects, the instrument provides an unbiased and absolute measurement of the aerial density (flying insect/m3) with a temporal resolution down to the minute. Multiple clusters of insects are differentiated based on their wingbeat frequency and ratios between wing and body optical cross-sections. The collected data allowed for the study of the circadian rhythm and daily activities as well as the aerial density dynamic over the whole campaign for each cluster individually. These measurements have been compared with traps for validation of this new methodology. We believe that this new type of data can unlock many of the current limitations in the collection of entomological data, especially when studying the population dynamics of insects with large impacts on our society, such as pollinators or vectors of infectious diseases.

Indexed as

AnimalsCircadian RhythmEcosystemInsectaPollinationPopulation DynamicsWings, Animal

Identifiers

PMID34793570
PMCPMC8601533
OpenAlexW3213612800

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.