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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...

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Autores principales: Zittra, Carina, Vitecek, Simon, Obwaller, Adelheid G., Rossiter, Heidemarie, Eigner, Barbara, Zechmeister, Thomas, Waringer, Johann, Fuehrer, Hans-Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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.
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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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