Evidence map›Paper›PMID 41989629›Full record

ArticleNeotropical entomology2026

Predicting the Potential Distribution of Quesada gigas Under Current and Future Climate Conditions Using MaxEnt.

Marinaldo Loures-Ferreira, Gildriano Soares de Oliveira, André Medeiros de Andrade, Francilene Lima Ferreira, Jackson Paulo Silva Souza, Ricardo Siqueira da Silva

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Article in Neotropical entomology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Marinaldo Loures-FerreiraInstitute of Agricultural Sciences, Federal Univ of the Jequitinhonha and Mucuri Valleys, Unaí, Minas Gerais, Brazil. marinaldo.loures@ufvjm.edu.br.ORCID http://orcid.org/0000-0002-8106-2793
Gildriano Soares de OliveiraDept of Agronomy, Federal Univ of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-4251-6040
André Medeiros de AndradeInstitute of Agricultural Sciences, Federal Univ of the Jequitinhonha and Mucuri Valleys, Unaí, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-3502-7847
Francilene Lima FerreiraInstitute of Agricultural Sciences, Federal Univ of the Jequitinhonha and Mucuri Valleys, Unaí, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-1149-2234
Jackson Paulo Silva SouzaDept of Agronomy, Federal Univ of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0002-1028-7717
Ricardo Siqueira da SilvaDept of Agronomy, Federal Univ of the Jequitinhonha and Mucuri Valleys, Diamantina, Minas Gerais, Brazil.ORCID http://orcid.org/0000-0003-1837-1339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Agricultural pests have caused significant economic and environmental impacts on major commercially essential crops. The cicada Quesada gigas (Hemiptera: Cicadidae), commonly known as the coffee cicada, is a significant pest in coffee cultivation across the Americas. Using the MaxEnt algorithm, we predicted the potential global distribution of Q. gigas under current and future climate change scenarios (SSP2-4.5 and SSP5-8.5) for the years 2050, 2070, and 2090. The model exhibited excellent performance (AUC = 0.903, CBI = 0.868, TSS = 0.881), highlighting isothermality and precipitation of the wettest month as the main predictors, with relative contributions of 38.2% and 36.3%, respectively. However, the permutation importance analysis indicated that the coldest month's mean temperature was the most influential variable on the species' potential distribution, contributing to 56.7%. Currently, Q. gigas predominantly occupies tropical and subtropical regions of the Americas, with high climatic suitability in major coffee-producing areas, such as southeastern Brazil. Future projections indicate a progressive reduction in highly suitable areas, particularly under the SSP2-4.5 scenario, with estimated decreases of 3.55% by 2050, 4.28% by 2070, and 2.67% by 2090. Under the SSP5-8.5 scenario, projections suggest greater stability in climatically suitable areas for the pest, with estimated reductions of 0.97% by 2050, 3.57% by 2070, and 2.83% by 2090. Regarding phytosanitary risks, the model identified potentially favorable climatic conditions in Africa, Asia, and Oceania. However, there are no confirmed records of the pest in these continents to date. Climate change may partially restrict the potential habitat of Q. gigas, but its persistence in major coffee-producing regions underscores the need for preventive monitoring strategies. This study offers valuable insights for the adaptive management of pests and the development of biosecurity policies in response to future climate scenarios.

Indexed as

Animal DistributionClimate ChangeHemipteraAlgorithmsAnimalsBrazilClimateCoffeaPrediction AlgorithmsClimate changeClimate scenariosCoffee pest insectEcological niche modeling

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