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Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae)
BACKGROUND: Vector-pathogen dynamics are controlled by fluctuations of potential vector communities, such as the Culicidae. Assessment of mosquito community diversity and, in particular, identification of environmental parameters shaping these communities is therefore of key importance for the desig...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405510/ https://www.ncbi.nlm.nih.gov/pubmed/28441957 http://dx.doi.org/10.1186/s13071-017-2140-6 |
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author | Zittra, Carina Vitecek, Simon Obwaller, Adelheid G. Rossiter, Heidemarie Eigner, Barbara Zechmeister, Thomas Waringer, Johann Fuehrer, Hans-Peter |
author_facet | Zittra, Carina Vitecek, Simon Obwaller, Adelheid G. Rossiter, Heidemarie Eigner, Barbara Zechmeister, Thomas Waringer, Johann Fuehrer, Hans-Peter |
author_sort | Zittra, Carina |
collection | PubMed |
description | BACKGROUND: Vector-pathogen dynamics are controlled by fluctuations of potential vector communities, such as the Culicidae. Assessment of mosquito community diversity and, in particular, identification of environmental parameters shaping these communities is therefore of key importance for the design of adequate surveillance approaches. In this study, we assess effects of climatic parameters and habitat structure on mosquito communities in eastern Austria to deliver these highly relevant baseline data. METHODS: Female mosquitoes were sampled twice a month from April to October 2014 and 2015 at 35 permanent and 23 non-permanent trapping sites using carbon dioxide-baited traps. Differences in spatial and seasonal abundance patterns of Culicidae taxa were identified using likelihood ratio tests; possible effects of environmental parameters on seasonal and spatial mosquito distribution were analysed using multivariate statistical methods. We assessed community responses to environmental parameters based on 14-day-average values that affect ontogenesis. RESULTS: Altogether 29,734 female mosquitoes were collected, and 21 of 42 native as well as two of four non-native mosquito species were reconfirmed in eastern Austria. Statistical analyses revealed significant differences in mosquito abundance between sampling years and provinces. Incidence and abundance patterns were found to be linked to 14-day mean sunshine duration, humidity, water–level maxima and the amount of precipitation. However, land cover classes were found to be the most important factor, effectively assigning both indigenous and non-native mosquito species to various communities, which responded differentially to environmental variables. CONCLUSIONS: These findings thus underline the significance of non-climatic variables for future mosquito prediction models and the necessity to consider these in mosquito surveillance programmes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-017-2140-6) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5405510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54055102017-04-27 Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) Zittra, Carina Vitecek, Simon Obwaller, Adelheid G. Rossiter, Heidemarie Eigner, Barbara Zechmeister, Thomas Waringer, Johann Fuehrer, Hans-Peter Parasit Vectors Research BACKGROUND: Vector-pathogen dynamics are controlled by fluctuations of potential vector communities, such as the Culicidae. Assessment of mosquito community diversity and, in particular, identification of environmental parameters shaping these communities is therefore of key importance for the design of adequate surveillance approaches. In this study, we assess effects of climatic parameters and habitat structure on mosquito communities in eastern Austria to deliver these highly relevant baseline data. METHODS: Female mosquitoes were sampled twice a month from April to October 2014 and 2015 at 35 permanent and 23 non-permanent trapping sites using carbon dioxide-baited traps. Differences in spatial and seasonal abundance patterns of Culicidae taxa were identified using likelihood ratio tests; possible effects of environmental parameters on seasonal and spatial mosquito distribution were analysed using multivariate statistical methods. We assessed community responses to environmental parameters based on 14-day-average values that affect ontogenesis. RESULTS: Altogether 29,734 female mosquitoes were collected, and 21 of 42 native as well as two of four non-native mosquito species were reconfirmed in eastern Austria. Statistical analyses revealed significant differences in mosquito abundance between sampling years and provinces. Incidence and abundance patterns were found to be linked to 14-day mean sunshine duration, humidity, water–level maxima and the amount of precipitation. However, land cover classes were found to be the most important factor, effectively assigning both indigenous and non-native mosquito species to various communities, which responded differentially to environmental variables. CONCLUSIONS: These findings thus underline the significance of non-climatic variables for future mosquito prediction models and the necessity to consider these in mosquito surveillance programmes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13071-017-2140-6) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-26 /pmc/articles/PMC5405510/ /pubmed/28441957 http://dx.doi.org/10.1186/s13071-017-2140-6 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Zittra, Carina Vitecek, Simon Obwaller, Adelheid G. Rossiter, Heidemarie Eigner, Barbara Zechmeister, Thomas Waringer, Johann Fuehrer, Hans-Peter Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) |
title | Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) |
title_full | Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) |
title_fullStr | Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) |
title_full_unstemmed | Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) |
title_short | Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae) |
title_sort | landscape structure affects distribution of potential disease vectors (diptera: culicidae) |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405510/ https://www.ncbi.nlm.nih.gov/pubmed/28441957 http://dx.doi.org/10.1186/s13071-017-2140-6 |
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