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Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest

Inter-relationships among mosquito vectors, Plasmodium parasites, human ecology, and biotic and abiotic factors, drive malaria risk. Specifically, rural landscapes shaped by human activities have a great potential to increase the abundance of malaria vectors, putting many vulnerable people at risk....

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Autores principales: Chaves, Leonardo Suveges Moreira, Bergo, Eduardo Sterlino, Conn, Jan E., Laporta, Gabriel Zorello, Prist, Paula Ribeiro, Sallum, Maria Anice Mureb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808592/
https://www.ncbi.nlm.nih.gov/pubmed/33444320
http://dx.doi.org/10.1371/journal.pone.0245087
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author Chaves, Leonardo Suveges Moreira
Bergo, Eduardo Sterlino
Conn, Jan E.
Laporta, Gabriel Zorello
Prist, Paula Ribeiro
Sallum, Maria Anice Mureb
author_facet Chaves, Leonardo Suveges Moreira
Bergo, Eduardo Sterlino
Conn, Jan E.
Laporta, Gabriel Zorello
Prist, Paula Ribeiro
Sallum, Maria Anice Mureb
author_sort Chaves, Leonardo Suveges Moreira
collection PubMed
description Inter-relationships among mosquito vectors, Plasmodium parasites, human ecology, and biotic and abiotic factors, drive malaria risk. Specifically, rural landscapes shaped by human activities have a great potential to increase the abundance of malaria vectors, putting many vulnerable people at risk. Understanding at which point the abundance of vectors increases in the landscape can help to design policies and interventions for effective and sustainable control. Using a dataset of adult female mosquitoes collected at 79 sites in malaria endemic areas in the Brazilian Amazon, this study aimed to (1) verify the association among forest cover percentage (PLAND), forest edge density (ED), and variation in mosquito diversity; and to (2) test the hypothesis of an association between landscape structure (i.e., PLAND and ED) and Nyssorhynchus darlingi (Root) dominance. Mosquito collections were performed employing human landing catch (HLC) (peridomestic habitat) and Shannon trap combined with HLC (forest fringe habitat). Nyssorhynchus darlingi abundance was used as the response variable in a generalized linear mixed model, and the Shannon diversity index (H’) of the Culicidae community, PLAND, and the distance house-water drainage were used as predictors. Three ED categories were also used as random effects. A path analysis was used to understand comparative strengths of direct and indirect relationships among Amazon vegetation classes, Culicidae community, and Ny. darlingi abundance. Our results demonstrate that Ny. darlingi is negatively affected by H´ and PLAND of peridomestic habitat, and that increasing these variables (one-unit value at β(0) = 768) leads to a decrease of 226 (P < 0.001) and 533 (P = 0.003) individuals, respectively. At the forest fringe, a similar result was found for H’ (β(1) = -218; P < 0.001) and PLAND (β(1) = -337; P = 0.04). Anthropogenic changes in the Amazon vegetation classes decreased mosquito biodiversity, leading to increased Ny. darlingi abundance. Changes in landscape structure, specifically decreases in PLAND and increases in ED, led to Ny. darlingi becoming the dominant species, increasing malaria risk. Ecological mechanisms involving changes in landscape and mosquito species composition can help to understand changes in the epidemiology of malaria.
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spelling pubmed-78085922021-02-02 Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest Chaves, Leonardo Suveges Moreira Bergo, Eduardo Sterlino Conn, Jan E. Laporta, Gabriel Zorello Prist, Paula Ribeiro Sallum, Maria Anice Mureb PLoS One Research Article Inter-relationships among mosquito vectors, Plasmodium parasites, human ecology, and biotic and abiotic factors, drive malaria risk. Specifically, rural landscapes shaped by human activities have a great potential to increase the abundance of malaria vectors, putting many vulnerable people at risk. Understanding at which point the abundance of vectors increases in the landscape can help to design policies and interventions for effective and sustainable control. Using a dataset of adult female mosquitoes collected at 79 sites in malaria endemic areas in the Brazilian Amazon, this study aimed to (1) verify the association among forest cover percentage (PLAND), forest edge density (ED), and variation in mosquito diversity; and to (2) test the hypothesis of an association between landscape structure (i.e., PLAND and ED) and Nyssorhynchus darlingi (Root) dominance. Mosquito collections were performed employing human landing catch (HLC) (peridomestic habitat) and Shannon trap combined with HLC (forest fringe habitat). Nyssorhynchus darlingi abundance was used as the response variable in a generalized linear mixed model, and the Shannon diversity index (H’) of the Culicidae community, PLAND, and the distance house-water drainage were used as predictors. Three ED categories were also used as random effects. A path analysis was used to understand comparative strengths of direct and indirect relationships among Amazon vegetation classes, Culicidae community, and Ny. darlingi abundance. Our results demonstrate that Ny. darlingi is negatively affected by H´ and PLAND of peridomestic habitat, and that increasing these variables (one-unit value at β(0) = 768) leads to a decrease of 226 (P < 0.001) and 533 (P = 0.003) individuals, respectively. At the forest fringe, a similar result was found for H’ (β(1) = -218; P < 0.001) and PLAND (β(1) = -337; P = 0.04). Anthropogenic changes in the Amazon vegetation classes decreased mosquito biodiversity, leading to increased Ny. darlingi abundance. Changes in landscape structure, specifically decreases in PLAND and increases in ED, led to Ny. darlingi becoming the dominant species, increasing malaria risk. Ecological mechanisms involving changes in landscape and mosquito species composition can help to understand changes in the epidemiology of malaria. Public Library of Science 2021-01-14 /pmc/articles/PMC7808592/ /pubmed/33444320 http://dx.doi.org/10.1371/journal.pone.0245087 Text en © 2021 Chaves et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chaves, Leonardo Suveges Moreira
Bergo, Eduardo Sterlino
Conn, Jan E.
Laporta, Gabriel Zorello
Prist, Paula Ribeiro
Sallum, Maria Anice Mureb
Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest
title Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest
title_full Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest
title_fullStr Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest
title_full_unstemmed Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest
title_short Anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the Amazon rainforest
title_sort anthropogenic landscape decreases mosquito biodiversity and drives malaria vector proliferation in the amazon rainforest
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808592/
https://www.ncbi.nlm.nih.gov/pubmed/33444320
http://dx.doi.org/10.1371/journal.pone.0245087
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