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

© 2021. Sociedade Entomológica do Brasil..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:50

Enthalten in:

Neotropical entomology - 50(2021), 6 vom: 19. Dez., Seite 989-998

Sprache:

Englisch

Beteiligte Personen:

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

Links:

Volltext

Themen:

Exotic invasive specie
Fruit fly
Journal Article
MaxEnt
Species distribution models

Anmerkungen:

Date Completed 26.11.2021

Date Revised 26.11.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s13744-021-00907-w

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM329541447