Repository logo
 
Publication

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

2023Journal article Open access
Simple item page
dc.contributor.authorMacedo, Fabrício Lopes
dc.contributor.authorRagonezi, Carla
dc.contributor.authorReis, Fábio
dc.contributor.authorFreitas, José G. R. de
dc.contributor.authorLopes, David Horta
dc.contributor.authorAguiar, António Miguel Franquinho
dc.contributor.authorCravo, Délia
dc.contributor.authorCarvalho, Miguel A. A. Pinheiro de
dc.date.accessioned2024-01-08T13:45:11Z
dc.date.available2024-01-08T13:45:11Z
dc.date.issued2023
dc.description.abstractDrosophila 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMacedo, 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/ agriculture13091764pt_PT
dc.identifier.doi10.3390/agriculture13091764pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5463
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCentre for the Research and Technology of Agro-Environmental and Biological Sciences
dc.relationCentre for the Research and Technology of Agro-Environmental and Biological Sciences
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectHabitat suitabilitypt_PT
dc.subjectMaximum entropypt_PT
dc.subjectEcological niche modelpt_PT
dc.subjectInformation systempt_PT
dc.subjectModeling trainingpt_PT
dc.subjectMachine learningpt_PT
dc.subjectDrosophilidaept_PT
dc.subject.pt_PT
dc.subjectEscola Superior de Tecnologias e Gestãopt_PT
dc.subjectFaculdade de Ciências da Vidapt_PT
dc.titlePrediction of the Potential Distribution of Drosophila suzukii on Madeira Island Using the Maximum Entropy Modelingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for the Research and Technology of Agro-Environmental and Biological Sciences
oaire.awardTitleCentre for the Research and Technology of Agro-Environmental and Biological Sciences
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04033%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04033%2F2020/PT
oaire.citation.issue9pt_PT
oaire.citation.startPage1764pt_PT
oaire.citation.titleAgriculturept_PT
oaire.citation.volume13pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameMacedo
person.familyNameRagonezi
person.familyNameHorta Lopes
person.familyNameAlmeida Pinheiro de Carvalho
person.givenNameFabrício Lopes de
person.givenNameCarla
person.givenNameDavid
person.givenNameMiguel Angelo
person.identifier2439118
person.identifier1218558
person.identifier.ciencia-idBD1F-4778-60D1
person.identifier.ciencia-idFC12-D3F0-EF3D
person.identifier.ciencia-id4A11-1CA3-AF88
person.identifier.ciencia-id4610-6741-6816
person.identifier.orcid0000-0002-8025-6422
person.identifier.orcid0000-0002-1822-5473
person.identifier.orcid0000-0002-3057-5871
person.identifier.orcid0000-0002-5084-870X
person.identifier.ridAEE-0913-2022
person.identifier.scopus-author-id36460033800
person.identifier.scopus-author-id25629458300
person.identifier.scopus-author-id8758577600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0cae1387-e03a-4cd4-bd47-c48edc60ad27
relation.isAuthorOfPublicationa51cc988-63ce-40e5-9b71-a27b1eadc937
relation.isAuthorOfPublicationfa80acc6-1f8c-474d-8d54-8a7ed37e5dd9
relation.isAuthorOfPublication2e433c48-88f8-40a2-b21f-de78b44aab1c
relation.isAuthorOfPublication.latestForDiscoveryfa80acc6-1f8c-474d-8d54-8a7ed37e5dd9
relation.isProjectOfPublication0fbc36e7-b7eb-44ee-8858-fb77c563003b
relation.isProjectOfPublication53f600b8-a43f-4466-bfd6-d6565b137631
relation.isProjectOfPublication.latestForDiscovery53f600b8-a43f-4466-bfd6-d6565b137631

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Prediction of the Potential Distribution of Drosophila suzukii on Madeira Island Using the Maximum Entropy Modeling.pdf
Size:
5.14 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Artigos em revistas internacionais