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

被引:0
作者
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
机构
[1] Universidade Federal de Viçosa,Department of Entomology
[2] Universidade Federal Dos Vales Do Jequitinhonha E Mucuri (UFVJM),Department of Agronomy
[3] Universidade Estadual Norte Fluminense Darcy Ribeiro (UENF),undefined
来源
Neotropical Entomology | 2023年 / 52卷
关键词
Ecological niche model; Specie distribution modeling; Invasive species; Curculionidae; Quarantine pest;
D O I
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中图分类号
学科分类号
摘要
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.
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页码:760 / 771
页数:11
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