Evidence map›Paper›PMID 34410677›Full record

ArticleNeotropical entomology2021

Predicting the Invasion Risk by Anastrepha sororcula (Diptera: Tephritidae) in Distinct Geographic Regions.

Adriane Vieira Souza, Elder Assis Miranda, Joseane Fernanda Passos, Elton Lucio Araujo, Clarice Diniz Alvarenga, Janisete Gomes Silva

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Article in Neotropical entomology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 33% of its field
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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 3 institutions in 1 country.

Adriane Vieira SouzaPrograma de Pós-Graduação em Genética e Biologia Molecular, Depto de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil. adrianesouzaagr@gmail.com.ORCID http://orcid.org/0000-0002-9436-3528
Elder Assis MirandaPrograma de Pós-Graduação em Genética e Biologia Molecular, Depto de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.
Joseane Fernanda PassosPrograma de Pós-Graduação em Genética e Biologia Molecular, Depto de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.
Elton Lucio AraujoDepto de Ciências Agronômicas e Florestais, Universidade Federal Rural do Semi-Árido, Mossoró, Rio Grande do Norte, Brazil.
Clarice Diniz AlvarengaDepto de Ciências Agrárias, UNIMONTES, Janaúba, Minas Gerais, Brazil.
Janisete Gomes SilvaPrograma de Pós-Graduação em Genética e Biologia Molecular, Depto de Ciências Biológicas, Universidade Estadual de Santa Cruz, Ilhéus, Bahia, Brazil.
Universidade Estadual de Santa Cruz · BRUniversidade Estadual de Montes Claros · BRUniversidade Federal Rural do Semi-Árido · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The movement of endemic fruit flies to new habitats represents a major biological and economic threat. Anastrepha sororcula Zucchi, 1979 is widely distributed in Brazil and also in Colombia, Ecuador, and Paraguay. Here, we present the potential distribution of A. sororcula in endemic areas and project this model into other regions such as part of sub-Saharan Africa, Central America, and Asia to show areas around the world that this species can potentially establish. We combined geographic coordinates with climate data. The models were built using the maximum entropy (MaxEnt) algorithm. Many mango- and guava-producing countries exhibited climatic suitability for A. sororcula in the regions studied including the nine largest world producers: India, Brazil, Malawi, Kenya, Haiti, Cuba, Colombia, Madagascar, and the Democratic Republic of the Congo. Many of these countries showed ideal host plant availability and climatic conditions for the entry and establishment of A. sororcula. This study is a pioneer in the identification of representative areas in the world with climatic suitability for A. sororcula, which shows the importance of predicting areas at risk of invasion to monitor the movement and establishment of fruit fly species in new regions, which is fundamental to area-wide integrated pest management programs.

Indexed as

MangiferaPsidiumTephritidaeAnimalsBrazilEcosystemExotic invasive specieFruit flyMaxEntSpecies distribution models

Identifiers

PMID34410677
OpenAlexW3195435273

What OpenQuestion holds

Textmetadata
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.