Evidence map›Paper›PMID 34108526›Full record

ArticleScientific reports2021

Tracking the invasive hornet Vespa velutina in complex environments by means of a harmonic radar.

Simone Lioy, Daniela Laurino, Riccardo Maggiora, Daniele Milanesio, Maurice Saccani, Peter J Mazzoglio, Aulo Manino, Marco Porporato

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. A perspective on neuroethology: what the past teaches us about the future of neuroethology.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Review
  5. Review on Recent Advances and Applications of Passive Harmonic RFID Systems.IEEE journal of radio frequency identification · 2023
    Article
  6. Review
  7. Pollinator nutrition and its role in merging the dual objectives of pollinator health and optimal crop production.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  8. 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

8 authors.

Simone Lioy *Department of Agricultural, Forest and Food Sciences, University of Turin, Grugliasco, Italy. simone.lioy@unito.it.
Daniela Laurino *Department of Agricultural, Forest and Food Sciences, University of Turin, Grugliasco, Italy.
Riccardo MaggioraDepartment of Electronics and Telecommunications, Polytechnic University of Turin, Turin, Italy.
Daniele MilanesioDepartment of Electronics and Telecommunications, Polytechnic University of Turin, Turin, Italy.
Maurice SaccaniDepartment of Electronics and Telecommunications, Polytechnic University of Turin, Turin, Italy.
Peter J MazzoglioDepartment of Agricultural, Forest and Food Sciences, University of Turin, Grugliasco, Italy.
Aulo ManinoDepartment of Agricultural, Forest and Food Sciences, University of Turin, Grugliasco, Italy.
Marco Porporato *Department of Agricultural, Forest and Food Sciences, University of Turin, Grugliasco, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An innovative scanning harmonic radar has been recently developed for tracking insects in complex landscapes. This movable technology has been tested on an invasive hornet species (Vespa velutina) for detecting the position of their nests in the environment, in the framework of an early detection strategy. The new model of harmonic radar proved to be effective in tracking hornets either in open landscapes, hilly environments and areas characterised by the presence of more obstacles, such as woodlands and urban areas. Hornets were effectively tracked in complex landscapes for a mean tracking length of 96 ± 62 m with maximum values of ~ 300 m. The effectiveness of locating nests was 75% in new invasive outbreaks and 60% in highly density colonised areas. Furthermore, this technology could provide information on several aspects of insect's ecology and biology. In this case, new insights were obtained about the mean foraging range of V. velutina (395 ± 208 m with a maximum value of 786 m) and flying features (ground speed), which was 6.66 ± 2.31 m s

Identifiers

PMID34108526
PMCPMC8190064

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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.