Literature DB >> 30779307

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

Paulo A Santana1,2, Lalit Kumar2, Ricardo S Da Silva3, Jardel L Pereira4, Marcelo C Picanço1,3.   

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. © 2019 Society of Chemical Industry.

Entities:  

Keywords:  MaxEnt; Zea mays; climate change; corn leafhopper; ecological niche model; ecosystem modelling

Year:  2019        PMID: 30779307     DOI: 10.1002/ps.5379

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  5 in total

1.  Modeling and Prediction of the Species' Range of Neurobasis chinensis (Linnaeus, 1758) under Climate Change.

Authors:  Jian Liao; Haojie Wang; Shaojun Xiao; Zhaoying Guan; Haomiao Zhang; Henri J Dumont; Bo-Ping Han
Journal:  Biology (Basel)       Date:  2022-06-06

2.  Determining the potential distribution of Oryctes monoceros and Oryctes rhinoceros by combining machine-learning with high-dimensional multidisciplinary environmental variables.

Authors:  Owusu Fordjour Aidoo; Fangyu Ding; Tian Ma; Dong Jiang; Di Wang; Mengmeng Hao; Elizabeth Tettey; Sebastian Andoh-Mensah; Kodwo Dadzie Ninsin; Christian Borgemeister
Journal:  Sci Rep       Date:  2022-10-19       Impact factor: 4.996

Review 3.  Eight Decades of Dalbulus maidis (DeLong & Wolcott) (Hemiptera, Cicadellidae) in Brazil: What We Know and What We Need to Know.

Authors:  Charles Martins de Oliveira; Marina Regina Frizzas
Journal:  Neotrop Entomol       Date:  2021-12-08       Impact factor: 1.434

4.  Potential Global Distribution of Daktulosphaira vitifoliae under Climate Change Based on MaxEnt.

Authors:  Wei Ji; Gary Gao; Jiufeng Wei
Journal:  Insects       Date:  2021-04-13       Impact factor: 2.769

5.  Maximum Entropy Modeling to Predict the Impact of Climate Change on Pine Wilt Disease in China.

Authors:  Xinggang Tang; Yingdan Yuan; Xiangming Li; Jinchi Zhang
Journal:  Front Plant Sci       Date:  2021-04-23       Impact factor: 5.753

  5 in total

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