Evidence map›Paper›PMID 37058226›Full record

ArticleNeotropical entomology2023

Mapping Brazilian Expansion Risk Levels of Mango Weevil (Sternochetus mangiferae Fabricius) Based on MaxEnt.

José Maciel Mariano da Silva, Rodrigo Soares Ramos, Philipe Guilherme Corcino Souza, Jhersyka da Silva Paes, Marcelo Coutinho Picanço, Gerson Adriano Silva, Ricardo Siqueira da Silva

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Article in Neotropical entomology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

José Maciel Mariano da SilvaDepartment of Entomology, Universidade Federal de Viçosa, Viçosa-MG, Brazil.
Rodrigo Soares RamosDepartment of Entomology, Universidade Federal de Viçosa, Viçosa-MG, Brazil.
Philipe Guilherme Corcino SouzaDepartment of Agronomy, Universidade Federal Dos Vales Do Jequitinhonha E Mucuri (UFVJM), Diamantina-MG, Brazil. philipe.corcino@gmail.com.ORCID http://orcid.org/0000-0002-8117-2394
Jhersyka da Silva PaesDepartment of Entomology, Universidade Federal de Viçosa, Viçosa-MG, Brazil.
Marcelo Coutinho PicançoDepartment of Entomology, Universidade Federal de Viçosa, Viçosa-MG, Brazil.
Gerson Adriano SilvaUniversidade Estadual Norte Fluminense Darcy Ribeiro (UENF), Campos Dos Goytacazes-RJ, Brazil.
Ricardo Siqueira da SilvaDepartment of Agronomy, Universidade Federal Dos Vales Do Jequitinhonha E Mucuri (UFVJM), Diamantina-MG, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mango weevil, Sternochetus mangiferae (Fabricius) (Curculionidae), pest present in Brazil and is restricted to some municipalities in the Rio de Janeiro State. This curculionid attacks the mango crop exclusively and puts mango production globally at risk, especially those destined for export. Using ecological modeling tools, this study is the first to map the potential risk of S. mangiferae in Brazil. We aimed to identify the potential distribution of this pest in Brazilian states, drawing up thematic maps of regions that present suitable and unsuitable climatic conditions for the establishment of the pest using the MaxEnt ecological niche model. The average annual temperature, the annual precipitation, the average daytime temperature range, and the annual temperature range were the variables that contributed most to the selected model. The MaxEnt model predicted highly suitable areas for S. mangiferae throughout the Brazilian coast, especially on the northeast coast. The region responsible for more than 50% of mango production in Brazil, the São Francisco Valley, was classified by the model with suitability for the pest; it can impacts exportations due to the imposition of phytosanitary barriers. This information can be used in strategies to prevent the introduction and establishment of this pest in new areas and monitor programs in areas with recent occurrence. In addition, the model results can be used in future research plans on S. mangiferae in worldwide modeling studies and climate change scenarios.

Indexed as

Animal DistributionMangiferaWeevilsAnimalsBrazilModels, TheoreticalCurculionidaeEcological niche modelInvasive speciesMangifera indicaQuarantine pestSpecie distribution modeling

Identifiers

PMID37058226

What OpenQuestion holds

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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.