Prediction of the Potential Distribution of Drosophila suzukii on Madeira Island Using the Maximum Entropy Modeling

• Autor(a) principal: Macedo, Fabrício Lopes
• Data de Publicação: 2023
• Outros Autores: Ragonezi, Carla, Reis, Fábio, Freitas, José G. R. de, Lopes, David Horta, Aguiar, António Miguel Franquinho, Cravo, Délia, Carvalho, Miguel A. A. Pinheiro de
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.13/5463
• topic: Habitat suitability; Maximum entropy; Ecological niche model; Information system; Modeling training; Machine learning; Drosophilidae; .; Escola Superior de Tecnologias e Gestão; Faculdade de Ciências da Vida

Drosophila suzukii is one of the main pests that attack soft-skinned fruits and cause significant economic damage worldwide. Madeira Island (Portugal) is already affected by this pest. The present work aimed to investigate the potential distribution of D. suzukii on Madeira Island to better understand the limits of its geographical distribution on the island using the Maximum Entropy modeling (MaxEnt). The resultant model provided by MaxEnt was rated as regular discrimination with the area under the curve (AUC, 0.7–0.8). Upon scrutinizing the environmental variables with the greatest impact on the distribution of D. suzukii, altitude emerged as the dominant contributor, with the highest percentage (71.2%). Additionally, elevations ranging from 0 to 500 m were identified as appropriate for the species distribution. With the results of the model, it becomes possible to understand/predict which locations will be most suitable for the establishment of the analyzed pest and could be further applied not only for D. suzukii but also for other species that hold the potential for substantial economic losses in this insular region.