Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae)

Abstract 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 t...

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Main Authors: Carina Zittra, Simon Vitecek, Adelheid G. Obwaller, Heidemarie Rossiter, Barbara Eigner, Thomas Zechmeister, Johann Waringer, Hans-Peter Fuehrer
Format: Article
Language:English
Published: BMC 2017-04-01
Series:Parasites & Vectors
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13071-017-2140-6
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author Carina Zittra
Simon Vitecek
Adelheid G. Obwaller
Heidemarie Rossiter
Barbara Eigner
Thomas Zechmeister
Johann Waringer
Hans-Peter Fuehrer
author_facet Carina Zittra
Simon Vitecek
Adelheid G. Obwaller
Heidemarie Rossiter
Barbara Eigner
Thomas Zechmeister
Johann Waringer
Hans-Peter Fuehrer
author_sort Carina Zittra
collection DOAJ
description Abstract 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.
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spelling doaj.art-1ae80d4786ec4742816722433fabb28f2022-12-21T22:23:15ZengBMCParasites & Vectors1756-33052017-04-0110111310.1186/s13071-017-2140-6Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae)Carina Zittra0Simon Vitecek1Adelheid G. Obwaller2Heidemarie RossiterBarbara Eigner3Thomas Zechmeister4Johann Waringer5Hans-Peter Fuehrer6Institute of Parasitology, Department of Pathobiology, University of Veterinary MedicineDepartment of Limnology and Bio-Oceanography, University of ViennaFederal Ministry of Defence and Sports, Division of Science, Research and DevelopmentInstitute of Parasitology, Department of Pathobiology, University of Veterinary MedicineBiological Station Lake NeusiedlDepartment of Limnology and Bio-Oceanography, University of ViennaInstitute of Parasitology, Department of Pathobiology, University of Veterinary MedicineAbstract 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.http://link.springer.com/article/10.1186/s13071-017-2140-6CulicidaeMosquito communitiesCanonical correspondence analysisAutecologySpecies distribution patternsSeasonality
spellingShingle Carina Zittra
Simon Vitecek
Adelheid G. Obwaller
Heidemarie Rossiter
Barbara Eigner
Thomas Zechmeister
Johann Waringer
Hans-Peter Fuehrer
Landscape structure affects distribution of potential disease vectors (Diptera: Culicidae)
Parasites & Vectors
Culicidae
Mosquito communities
Canonical correspondence analysis
Autecology
Species distribution patterns
Seasonality
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 Culicidae
Mosquito communities
Canonical correspondence analysis
Autecology
Species distribution patterns
Seasonality
url http://link.springer.com/article/10.1186/s13071-017-2140-6
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