Evidence map›Paper›PMID 39080311›Full record

ArticleScientific reports2024

Tracking and modeling the movement of Queensland fruit flies, Bactrocera tryoni, using harmonic radar in papaya fields.

Anika L Hurst, Allison L O Brien, Nicole D Miller, Allysen M Welty Peachey, James M Yoder, Stefano G De Faveri, Jodie Cheesman, Nicholas C Manoukis, Matthew S Siderhurst

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Anika L HurstDepartment of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA.
Allison L O BrienDepartment of Biology and Environmental Science, Bridgewater College, 402 East College Street, Bridgewater, VA, 22812, USA.
Nicole D MillerDepartment of Chemistry, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA.
Allysen M Welty PeacheyDepartment of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA.
James M YoderDepartment of Biology, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA.
Stefano G De FaveriDepartment of Agriculture and Fisheries, Queensland Government, 26-40 Delancey Street, Cleveland, Queensland, 4163, Australia.
Jodie CheesmanDepartment of Agriculture and Fisheries, Queensland Government, 28 Peters Street, Mareeba, QLD, 4880, Australia.
Nicholas C ManoukisDaniel K. Inouye US Pacific Basin Agricultural Research Center, United States Department of Agriculture, Agricultural Research Service, Hilo, HI, 96720, USA.
Matthew S SiderhurstDepartment of Chemistry, Eastern Mennonite University, 1200 Park Road, Harrisonburg, VA, 22802, USA. matthew.siderhurst@usda.gov.

Funding

Australian Centre for International Agricultural Research HORT/2015/042National Science Foundation 1854034
6 · The paper itself

Abstract

Determining movement parameters for pest insects such as tephritid fruit flies is critical to developing models which can be used to increase the effectiveness of surveillance and control strategies. In this study, harmonic radar was used to track wild-caught male Queensland fruit flies (Qflies), Bactrocera tryoni, in papaya fields. Experiment 1 continuously tracked single flies which were prodded to induce movement. Qfly movements from this experiment showed greater mean squared displacement than predicted by both a simple random walk (RW) or a correlated random walk (CRW) model, suggesting that movement parameters derived from the entire data set do not adequately describe the movement of individual Qfly at all spatial scales or for all behavioral states. This conclusion is supported by both fractal and hidden Markov model (HMM) analysis. Lower fractal dimensions (straighter movement paths) were observed at larger spatial scales (> 2.5 m) suggesting that Qflies have qualitatively distinct movement at different scales. Further, a two-state HMM fit the observed movement data better than the CRW or RW models. Experiment 2 identified individual landing locations, twice a day, for groups of released Qflies, demonstrating that flies could be tracked over longer periods of time.

Indexed as

CaricaMovementTephritidaeAnimalsMaleRadarDirectional movementField trackingFractal analysisHidden Markov modelsModelingMovement simulation

Identifiers

PMID39080311
PMCPMC11289093

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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.