Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease

The African citrus psyllid, Trioza erytreae (Hemiptera: Triozidae), is a vector of citrus greening (Huanglonbing - HLB), a bacterial citrus disease caused by Candidatus liberibacter spp. Native to Africa, T. erytreae was detected in the Canary Islands and Madeira in the early 2000s and then in north...

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Detalhes bibliográficos
Autor: Godefroid, Martín
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/307266
Acesso em linha:http://hdl.handle.net/10261/307266
Access Level:acceso abierto
Palavra-chave:Candidatus liberibacter
African citrus psyllid
Diaphorina citri
Asian citrus psyllid
Vector-borne plant pathoge
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spelling Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening diseaseGodefroid, MartínCandidatus liberibacterAfrican citrus psyllidDiaphorina citriAsian citrus psyllidVector-borne plant pathogeThe African citrus psyllid, Trioza erytreae (Hemiptera: Triozidae), is a vector of citrus greening (Huanglonbing - HLB), a bacterial citrus disease caused by Candidatus liberibacter spp. Native to Africa, T. erytreae was detected in the Canary Islands and Madeira in the early 2000s and then in northwestern Spain in 2014. Since then, T. erytreae has become established along the Atlantic coastal areas of the Iberian Peninsula. Therefore, an accurate assessment of the potential long-term establishment of T. erytreae in major citrus-growing regions of Europe and the world is urgently needed to design adapted control strategies. I calibrated correlative species distribution models to understand the bioclimatic characteristics that determine the distribution of T. erytreae, and to assess the climatic suitability of the world’s major citrus-growing regions for the psyllid under current and future climate conditions. I calibrated the models using only distribution data from Africa (its native range), the Canary Islands, and Madeira, and evaluated them using available data from the invaded area in continental Europe. This approach aims to avoid spurious good measures of model accuracy arising from spatial autocorrelation between the calibration and evaluation datasets. The models identify mild summer and winter temperatures and high levels of precipitation as optimal conditions for long-term psyllid establishment, consistent with its physiology. In Europe, models predict only the Atlantic coastal regions of the Iberian Peninsula as highly climatically suitable, a spatial pattern that corresponds exactly to the area currently invaded by the psyllid. Models predict that most of the important citrus-growing areas in the world are, and will remain in the future, poorly adapted to T. erytreae except in case of future physiological adjustments. These results are crucial for the design of appropriate pest management strategies and are timely for Europe where the African citrus psyllid has recently been detected.MG was funded by the fellowship “Ayudas destinadas a la atracción" de talento investigador de la Comunidad de Madrid” (Ref: 2018-T2/BIO-11379).Peer reviewedElsevierComunidad de MadridConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/307266reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#S2018/BIO-11379https://doi.org/10.1016/j.cropro.2023.106228Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3072662026-05-22T06:33:51Z
dc.title.none.fl_str_mv Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
title Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
spellingShingle Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
Godefroid, Martín
Candidatus liberibacter
African citrus psyllid
Diaphorina citri
Asian citrus psyllid
Vector-borne plant pathoge
title_short Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
title_full Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
title_fullStr Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
title_full_unstemmed Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
title_sort Species distribution models predicting climate suitability for the psyllid Trioza erytreae, vector of citrus greening disease
dc.creator.none.fl_str_mv Godefroid, Martín
author Godefroid, Martín
author_facet Godefroid, Martín
author_role author
dc.contributor.none.fl_str_mv Comunidad de Madrid
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Candidatus liberibacter
African citrus psyllid
Diaphorina citri
Asian citrus psyllid
Vector-borne plant pathoge
topic Candidatus liberibacter
African citrus psyllid
Diaphorina citri
Asian citrus psyllid
Vector-borne plant pathoge
description The African citrus psyllid, Trioza erytreae (Hemiptera: Triozidae), is a vector of citrus greening (Huanglonbing - HLB), a bacterial citrus disease caused by Candidatus liberibacter spp. Native to Africa, T. erytreae was detected in the Canary Islands and Madeira in the early 2000s and then in northwestern Spain in 2014. Since then, T. erytreae has become established along the Atlantic coastal areas of the Iberian Peninsula. Therefore, an accurate assessment of the potential long-term establishment of T. erytreae in major citrus-growing regions of Europe and the world is urgently needed to design adapted control strategies. I calibrated correlative species distribution models to understand the bioclimatic characteristics that determine the distribution of T. erytreae, and to assess the climatic suitability of the world’s major citrus-growing regions for the psyllid under current and future climate conditions. I calibrated the models using only distribution data from Africa (its native range), the Canary Islands, and Madeira, and evaluated them using available data from the invaded area in continental Europe. This approach aims to avoid spurious good measures of model accuracy arising from spatial autocorrelation between the calibration and evaluation datasets. The models identify mild summer and winter temperatures and high levels of precipitation as optimal conditions for long-term psyllid establishment, consistent with its physiology. In Europe, models predict only the Atlantic coastal regions of the Iberian Peninsula as highly climatically suitable, a spatial pattern that corresponds exactly to the area currently invaded by the psyllid. Models predict that most of the important citrus-growing areas in the world are, and will remain in the future, poorly adapted to T. erytreae except in case of future physiological adjustments. These results are crucial for the design of appropriate pest management strategies and are timely for Europe where the African citrus psyllid has recently been detected.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/307266
url http://hdl.handle.net/10261/307266
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
S2018/BIO-11379
https://doi.org/10.1016/j.cropro.2023.106228
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,198674

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