Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/30027
Title: Assessing the impact of climate change on the worldwide distribution of Dalbulus maidis (DeLong) using MaxEnt
Contributor(s): Santana, Paulo A Jr (author); Kumar, Lalit  (author)orcid ; Da Silva, Ricardo S (author); Pereira, Jardel L (author); Picanço, Marcelo C (author)
Publication Date: 2019-10
DOI: 10.1002/ps.5379
Handle Link: https://hdl.handle.net/1959.11/30027
Abstract: BACKGROUND For the first time, a model was applied at the global scale 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 modelled the effects of climate change on this pest using three Global Climate Models under two Representative Concentration Pathways (RCPs) using MaxEnt software. RESULTS Overall, climate change will lead to a decrease in suitable areas for D. maidis. In South America, climate change will decrease the areas 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 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 because they are projected to have conditions that are highly suitable for this insect in some areas. CONCLUSION This study allows the relevant countries to increase their quarantine measures and guide researchers to develop new Zea mays varieties that are resistant or tolerant to D. maidis. In addition, the maize‐stunting pathogens for the areas are highlighted in this modelling. © 2019 Society of Chemical Industry
Publication Type: Journal Article
Source of Publication: Pest Management Science, 75(10), p. 2706-2715
Publisher: John Wiley & Sons Ltd
Place of Publication: United Kingdom
ISSN: 1526-4998
1526-498X
Fields of Research (FoR) 2008: 070105 Agricultural Systems Analysis and Modelling
Fields of Research (FoR) 2020: 300207 Agricultural systems analysis and modelling
Socio-Economic Objective (SEO) 2008: 960504 Ecosystem Assessment and Management of Farmland, Arable Cropland and Permanent Cropland Environments
Socio-Economic Objective (SEO) 2020: 180601 Assessment and management of terrestrial ecosystems
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science

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