Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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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:123456789/24559Tk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=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 |
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eng |
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2019 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Pest Management Science |
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Pest Management Science |
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