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

Authors :
Fabrício Lopes Macedo
Carla Ragonezi
Fábio Reis
José G. R. de Freitas
David Horta Lopes
António Miguel Franquinho Aguiar
Délia Cravo
Miguel A. A. Pinheiro de Carvalho
Source :
Agriculture, Vol 13, Iss 9, p 1764 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

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.

Details

Language :
English
ISSN :
20770472
Volume :
13
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Agriculture
Publication Type :
Academic Journal
Accession number :
edsdoj.53f1997f30184cd784d7d9b99fd00104
Document Type :
article
Full Text :
https://doi.org/10.3390/agriculture13091764