Evidence map›Paper›PMID 35784070›Full record

ArticleEcology and evolution2022

Camera traps are an effective tool for monitoring insect-plant interactions.

Qaim Naqvi, Patrick J Wolff, Brenda Molano-Flores, Jinelle H Sperry

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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  9. Camera trapping expands the view into global biodiversity and its change.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  10. 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

4 authors.

Qaim NaqviDepartment of Natural Resources and Environmental Sciences University of Illinois Urbana Illinois USA.ORCID https://orcid.org/0000-0001-9223-4514
Patrick J WolffConstruction Engineering Research Laboratory, Engineer Research and Development Center U.S. Army Corps of Engineers Champaign Illinois USA.ORCID https://orcid.org/0000-0002-5750-4053
Brenda Molano-FloresIllinois Natural History Survey University of Illinois Champaign Illinois USA.
Jinelle H SperryDepartment of Natural Resources and Environmental Sciences University of Illinois Urbana Illinois USA.ORCID https://orcid.org/0000-0003-0929-1900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insect and pollinator populations are vitally important to the health of ecosystems, food production, and economic stability, but are declining worldwide. New, cheap, and simple monitoring methods are necessary to inform management actions and should be available to researchers around the world. Here, we evaluate the efficacy of a commercially available, close-focus automated camera trap to monitor insect-plant interactions and insect behavior. We compared two video settings-scheduled and motion-activated-to a traditional human observation method. Our results show that camera traps with scheduled video settings detected more insects overall than humans, but relative performance varied by insect order. Scheduled cameras significantly outperformed motion-activated cameras, detecting more insects of all orders and size classes. We conclude that scheduled camera traps are an effective and relatively inexpensive tool for monitoring interactions between plants and insects of all size classes, and their ease of accessibility and set-up allows for the potential of widespread use. The digital format of video also offers the benefits of recording, sharing, and verifying observations.

Indexed as

Camera trapdetectiondigital video recordinggame camerainsect monitoringpollinationpollination biologypollinator monitoring

Identifiers

PMID35784070
PMCPMC9163375

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.