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Prediction of the Potential Distribution of Drosophila suzukii on Madeira Island Using the Maximum Entropy Modeling
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
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
Contexto Educativo
Citação
Macedo, F.L.; Ragonezi, C.; Reis, F.; de Freitas, J.G.R.; Lopes, D.H.; Aguiar, A.M.F.; Cravo, D.; Carvalho, M.A.A.P.d. Prediction of the Potential Distribution of Drosophila suzukii on Madeira Island Using the Maximum Entropy Modeling. Agriculture 2023, 13, 1764. https://doi.org/10.3390/ agriculture13091764
Editora
MDPI