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Updated distribution maps of predominant Culex mosquitoes across the Americas
BACKGROUND: Estimates of the geographical distribution of Culex mosquitoes in the Americas have been limited to state and provincial levels in the United States and Canada and based on data from the 1980s. Since these estimates were made, there have been many more documented observations of mosquito...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542338/ https://www.ncbi.nlm.nih.gov/pubmed/34688314 http://dx.doi.org/10.1186/s13071-021-05051-3 |
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author | Gorris, Morgan E. Bartlow, Andrew W. Temple, Seth D. Romero-Alvarez, Daniel Shutt, Deborah P. Fair, Jeanne M. Kaufeld, Kimberly A. Del Valle, Sara Y. Manore, Carrie A. |
author_facet | Gorris, Morgan E. Bartlow, Andrew W. Temple, Seth D. Romero-Alvarez, Daniel Shutt, Deborah P. Fair, Jeanne M. Kaufeld, Kimberly A. Del Valle, Sara Y. Manore, Carrie A. |
author_sort | Gorris, Morgan E. |
collection | PubMed |
description | BACKGROUND: Estimates of the geographical distribution of Culex mosquitoes in the Americas have been limited to state and provincial levels in the United States and Canada and based on data from the 1980s. Since these estimates were made, there have been many more documented observations of mosquitoes and new methods have been developed for species distribution modeling. Moreover, mosquito distributions are affected by environmental conditions, which have changed since the 1980s. This calls for updated estimates of these distributions to understand the risk of emerging and re-emerging mosquito-borne diseases. METHODS: We used contemporary mosquito data, environmental drivers, and a machine learning ecological niche model to create updated estimates of the geographical range of seven predominant Culex species across North America and South America: Culex erraticus, Culex nigripalpus, Culex pipiens, Culex quinquefasciatus, Culex restuans, Culex salinarius, and Culex tarsalis. RESULTS: We found that Culex mosquito species differ in their geographical range. Each Culex species is sensitive to both natural and human-influenced environmental factors, especially climate and land cover type. Some prefer urban environments instead of rural ones, and some are limited to tropical or humid areas. Many are found throughout the Central Plains of the USA. CONCLUSIONS: Our updated contemporary Culex distribution maps may be used to assess mosquito-borne disease risk. It is critical to understand the current geographical distributions of these important disease vectors and the key environmental predictors structuring their distributions not only to assess current risk, but also to understand how they will respond to climate change. Since the environmental predictors structuring the geographical distribution of mosquito species varied, we hypothesize that each species may have a different response to climate change. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-05051-3. |
format | Online Article Text |
id | pubmed-8542338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85423382021-10-25 Updated distribution maps of predominant Culex mosquitoes across the Americas Gorris, Morgan E. Bartlow, Andrew W. Temple, Seth D. Romero-Alvarez, Daniel Shutt, Deborah P. Fair, Jeanne M. Kaufeld, Kimberly A. Del Valle, Sara Y. Manore, Carrie A. Parasit Vectors Research BACKGROUND: Estimates of the geographical distribution of Culex mosquitoes in the Americas have been limited to state and provincial levels in the United States and Canada and based on data from the 1980s. Since these estimates were made, there have been many more documented observations of mosquitoes and new methods have been developed for species distribution modeling. Moreover, mosquito distributions are affected by environmental conditions, which have changed since the 1980s. This calls for updated estimates of these distributions to understand the risk of emerging and re-emerging mosquito-borne diseases. METHODS: We used contemporary mosquito data, environmental drivers, and a machine learning ecological niche model to create updated estimates of the geographical range of seven predominant Culex species across North America and South America: Culex erraticus, Culex nigripalpus, Culex pipiens, Culex quinquefasciatus, Culex restuans, Culex salinarius, and Culex tarsalis. RESULTS: We found that Culex mosquito species differ in their geographical range. Each Culex species is sensitive to both natural and human-influenced environmental factors, especially climate and land cover type. Some prefer urban environments instead of rural ones, and some are limited to tropical or humid areas. Many are found throughout the Central Plains of the USA. CONCLUSIONS: Our updated contemporary Culex distribution maps may be used to assess mosquito-borne disease risk. It is critical to understand the current geographical distributions of these important disease vectors and the key environmental predictors structuring their distributions not only to assess current risk, but also to understand how they will respond to climate change. Since the environmental predictors structuring the geographical distribution of mosquito species varied, we hypothesize that each species may have a different response to climate change. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13071-021-05051-3. BioMed Central 2021-10-23 /pmc/articles/PMC8542338/ /pubmed/34688314 http://dx.doi.org/10.1186/s13071-021-05051-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gorris, Morgan E. Bartlow, Andrew W. Temple, Seth D. Romero-Alvarez, Daniel Shutt, Deborah P. Fair, Jeanne M. Kaufeld, Kimberly A. Del Valle, Sara Y. Manore, Carrie A. Updated distribution maps of predominant Culex mosquitoes across the Americas |
title | Updated distribution maps of predominant Culex mosquitoes across the Americas |
title_full | Updated distribution maps of predominant Culex mosquitoes across the Americas |
title_fullStr | Updated distribution maps of predominant Culex mosquitoes across the Americas |
title_full_unstemmed | Updated distribution maps of predominant Culex mosquitoes across the Americas |
title_short | Updated distribution maps of predominant Culex mosquitoes across the Americas |
title_sort | updated distribution maps of predominant culex mosquitoes across the americas |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8542338/ https://www.ncbi.nlm.nih.gov/pubmed/34688314 http://dx.doi.org/10.1186/s13071-021-05051-3 |
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