Literature DB >> 34037969

Simulation of the Movement of a Locust Swarm in Argentina in 2020.

Fernanda Tumelero1, Viliam Cardoso da Silveira2, Guilherme Jahnecke Weymar3, Daniela Buske2, Régis Sperotto de Quadros2, Glênio Aguiar Gonçalves2, Alexandre S de Athayde2, Luciana Rossato Piovesan3, Igor da Cunha Furtado4.   

Abstract

This work presents a simulation for the trajectory of a locust swarm of the species Schistocerca cancellata (Audinet-Serville), between May 22nd and July 29th, 2020, in Argentina. To obtain the directions, temperature, and intensities of the wind, used to determine the daily traveled distance of the insects, the data of weather forecast from Weather Research and Forecasting (WRF) model are used. A statistical analysis shows the effectiveness of the forecast model used in comparison with the real data given by SENASA, which provides latitude and longitude coordinates for the cited period. The results found for the movement of the cloud were satisfactory, they matched with the real data, identifying that temperature and wind speed have a great influence on the movement of locust swarms. The methodology used allows monitoring in real-time their movement, predicting the trajectory and making it possible to plan actions by government control agencies with pesticides in convenient areas.

Entities:  

Keywords:  Migratory locust swarm; Schistocerca cancellata; WRF model; temperature; wind field

Year:  2021        PMID: 34037969     DOI: 10.1007/s13744-021-00883-1

Source DB:  PubMed          Journal:  Neotrop Entomol        ISSN: 1519-566X            Impact factor:   1.434


  3 in total

Review 1.  Locust Collective Motion and Its Modeling.

Authors:  Gil Ariel; Amir Ayali
Journal:  PLoS Comput Biol       Date:  2015-12-10       Impact factor: 4.475

2.  Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

Authors:  M M Mukaka
Journal:  Malawi Med J       Date:  2012-09       Impact factor: 0.875

3.  Locust dynamics: behavioral phase change and swarming.

Authors:  Chad M Topaz; Maria R D'Orsogna; Leah Edelstein-Keshet; Andrew J Bernoff
Journal:  PLoS Comput Biol       Date:  2012-08-16       Impact factor: 4.475

  3 in total

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