Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt

Detalhes bibliográficos
Autor(a) principal: Santana Junior, P. A.
Data de Publicação: 2019
Outros Autores: Silva, R.S. da, Pereira, J. L., Kumar, L., Picanço, M. C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: https://doi.org/10.1002/ps.5379
http://www.locus.ufv.br/handle/123456789/24559
Resumo: For the first time, a model was applied at the global scale in order to investigate the effects of climate change on Dalbulus maidis. D. maidis is the main vector of three plant pathogens of maize crops and has been reported as one of the most important maize pests in Latin America. We modeled the effects of climate change on this pest using three Global Climate Models under two Representative Concentration Pathways (RCPs) using the MaxEnt software. Overall, climate change will lead to a decrease in the suitable areas for D. maidis. In South America, climate change will decrease the areas that are suitable for the pest, especially in Brazil. However, Argentina, Chile, Colombia, Ecuador, Peru, and Venezuela will have small areas that are highly suitable for the corn leafhopper. Outside of the pest’s range, Ethiopia, Kenya, Rwanda, Burundi, and South Africa also should be concerned about the risk of corn leafhopper invasions in the future since they are projected to have highly suitable conditions for this insect in some areas. This study will allow the relevant countries to increase their quarantine measures and guide researchers to develop new Z. mays varieties that are resistant or tolerant to D. maidis. In addition, the maize‐stunting pathogens for the areas are highlighted in this modeling.
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spelling Santana Junior, P. A.Silva, R.S. daPereira, J. L.Kumar, L.Picanço, M. C.2019-04-15T14:32:43Z2019-04-15T14:32:43Z201915264998https://doi.org/10.1002/ps.5379http://www.locus.ufv.br/handle/123456789/24559For the first time, a model was applied at the global scale in order to investigate the effects of climate change on Dalbulus maidis. D. maidis is the main vector of three plant pathogens of maize crops and has been reported as one of the most important maize pests in Latin America. We modeled the effects of climate change on this pest using three Global Climate Models under two Representative Concentration Pathways (RCPs) using the MaxEnt software. Overall, climate change will lead to a decrease in the suitable areas for D. maidis. In South America, climate change will decrease the areas that are suitable for the pest, especially in Brazil. However, Argentina, Chile, Colombia, Ecuador, Peru, and Venezuela will have small areas that are highly suitable for the corn leafhopper. Outside of the pest’s range, Ethiopia, Kenya, Rwanda, Burundi, and South Africa also should be concerned about the risk of corn leafhopper invasions in the future since they are projected to have highly suitable conditions for this insect in some areas. This study will allow the relevant countries to increase their quarantine measures and guide researchers to develop new Z. mays varieties that are resistant or tolerant to D. maidis. In addition, the maize‐stunting pathogens for the areas are highlighted in this modeling.engPest Management Science2019MaxEnEcosystem modelingCorn leafhopperEcological niche modelClimate changeZea maysAssessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEntinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdftexto completoapplication/pdf2577055https://locus.ufv.br//bitstream/123456789/24559/1/artigo.pdf7641713434eaf12c49bc5b757f5f937fMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/24559/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52123456789/245592019-04-15 11:34:03.975oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452019-04-15T14:34:03LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.en.fl_str_mv Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
title Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
spellingShingle Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
Santana Junior, P. A.
MaxEn
Ecosystem modeling
Corn leafhopper
Ecological niche model
Climate change
Zea mays
title_short Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
title_full Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
title_fullStr Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
title_full_unstemmed Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
title_sort Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
author Santana Junior, P. A.
author_facet Santana Junior, P. A.
Silva, R.S. da
Pereira, J. L.
Kumar, L.
Picanço, M. C.
author_role author
author2 Silva, R.S. da
Pereira, J. L.
Kumar, L.
Picanço, M. C.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Santana Junior, P. A.
Silva, R.S. da
Pereira, J. L.
Kumar, L.
Picanço, M. C.
dc.subject.pt-BR.fl_str_mv MaxEn
Ecosystem modeling
Corn leafhopper
Ecological niche model
Climate change
Zea mays
topic MaxEn
Ecosystem modeling
Corn leafhopper
Ecological niche model
Climate change
Zea mays
description For the first time, a model was applied at the global scale in order to investigate the effects of climate change on Dalbulus maidis. D. maidis is the main vector of three plant pathogens of maize crops and has been reported as one of the most important maize pests in Latin America. We modeled the effects of climate change on this pest using three Global Climate Models under two Representative Concentration Pathways (RCPs) using the MaxEnt software. Overall, climate change will lead to a decrease in the suitable areas for D. maidis. In South America, climate change will decrease the areas that are suitable for the pest, especially in Brazil. However, Argentina, Chile, Colombia, Ecuador, Peru, and Venezuela will have small areas that are highly suitable for the corn leafhopper. Outside of the pest’s range, Ethiopia, Kenya, Rwanda, Burundi, and South Africa also should be concerned about the risk of corn leafhopper invasions in the future since they are projected to have highly suitable conditions for this insect in some areas. This study will allow the relevant countries to increase their quarantine measures and guide researchers to develop new Z. mays varieties that are resistant or tolerant to D. maidis. In addition, the maize‐stunting pathogens for the areas are highlighted in this modeling.
publishDate 2019
dc.date.accessioned.fl_str_mv 2019-04-15T14:32:43Z
dc.date.available.fl_str_mv 2019-04-15T14:32:43Z
dc.date.issued.fl_str_mv 2019
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.1002/ps.5379
http://www.locus.ufv.br/handle/123456789/24559
dc.identifier.issn.none.fl_str_mv 15264998
identifier_str_mv 15264998
url https://doi.org/10.1002/ps.5379
http://www.locus.ufv.br/handle/123456789/24559
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartofseries.pt-BR.fl_str_mv 2019
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dc.publisher.none.fl_str_mv Pest Management Science
publisher.none.fl_str_mv Pest Management Science
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
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