Responses of vector and non-vector mosquito communities to a gradient of native forest cover loss in the Cerrado hotspot, Brazil
Arcos, Adriano Nobre, Soares, Philip Teles, da Silva Ferreira, Francisco Augusto, Valente-Neto, Francisco, Tadei, Wanderli Pedro, and de Oliveira Roque, Fabio (2025) Responses of vector and non-vector mosquito communities to a gradient of native forest cover loss in the Cerrado hotspot, Brazil. Scientific Reports, 15 (1). 44523.
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Abstract
This study aimed to investigate the impact of forest cover loss on the composition of vector and non-vector mosquitoes and to identify potential thresholds for some mosquito species across the gradient of forest cover loss. The study was carried out in an area of the Cerrado hotspot in Brazil. We used linear and non-linear models to assess the response of mosquito abundance to forest cover loss. We registered a total of 6910 specimens and detected a positive effect of the amount of forest cover on the total abundance of mosquitoes in the landscapes. In addition, non-vector species are more susceptible to landscapes with low forest cover, which negatively affects the abundance of these species. On the other hand, the high abundance of vector species was associated with a low percentage of native forest cover. The threshold values ranged from 12.5 to 81% of the forest cover and presented different values for the 14 species. We emphasize that as deforestation increases in the region, there is a clear loss of species and an increase in the presence of potential disease vectors for animals and humans, which is associated with potential implications for the emergence of arboviruses and for public health.
| Item ID: | 90597 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 2045-2322 |
| Keywords: | Culicidae, Deforestation, Landscape change, Vector-borne |
| Copyright Information: | Copyright © 2025, The Author(s). This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| Date Deposited: | 29 Oct 2026 04:41 |
| FoR Codes: | 31 BIOLOGICAL SCIENCES > 3103 Ecology > 310308 Terrestrial ecology @ 50% 42 HEALTH SCIENCES > 4202 Epidemiology > 420202 Disease surveillance @ 50% |
| SEO Codes: | 18 ENVIRONMENTAL MANAGEMENT > 1806 Terrestrial systems and management > 180601 Assessment and management of terrestrial ecosystems @ 100% |
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