Evidence map›Paper›PMID 30189679›Full record

ArticleInsects2018

An Advanced Numerical Trajectory Model Tracks a Corn Earworm Moth Migration Event in Texas, USA.

Qiu-Lin Wu, Gao Hu, John K Westbrook, Gregory A Sword, Bao-Ping Zhai

Abstract read
In one paragraph

Article in Insects, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

5 authors.

Qiu-Lin WuDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. wuqiulin89@126.com.ORCID 0000-0003-0103-2891
Gao HuDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. hugao@njau.edu.cn.ORCID 0000-0002-1000-5687
John K WestbrookInsect Control and Cotton Disease Research Unit, US Department of Agriculture, Agricultural Research Service, College Station, TX 77845, USA. John.Westbrook@ARS.USDA.GOV.
Gregory A SwordDepartment of Entomology, Texas A&M University, College Station, TX 77843-2475, USA. gasword@tamu.edu.
Bao-Ping ZhaiDepartment of Entomology, Nanjing Agricultural University, Nanjing 210095, China. bpzhai@njau.edu.cn.

Funding

Special Fund for Agro-scientific Research in the Public Interest of China 201403031
6 · The paper itself

Abstract

Many methods for trajectory simulation, such as Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT), have been developed over the past several decades and contributed greatly to our knowledge in insect migratory movement. To improve the accuracy of trajectory simulation, we developed a new numerical trajectory model, in which the self-powered flight behaviors of insects are considered and trajectory calculation is driven by high spatio-temporal resolution weather conditions simulated by the Weather Research and Forecasting (WRF) model. However, a rigorous evaluation of the accuracy of different trajectory models on simulated long-distance migration is lacking. Hence, in this study our trajectory model was evaluated by a migration event of the corn earworm moth,

Indexed as

Helicoverpa zeamigrationnumerical simulationthree-dimensional trajectory analysis programvaluationWeather Research and Forecasting (WRF) model

Identifiers

PMID30189679
PMCPMC6163387

What OpenQuestion holds

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LicenceCC BY
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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.