Environmental Systems Research - Urban EnvironmentsESR24-005

City-invading mosquitoes of medical importance: habitat preferences and molecular detection in Vienna


Principal Investigator:
Institution:
Projekttitel:
City-invading mosquitoes of medical importance: habitat preferences and molecular detection in Vienna
Co-Principal Investigator(s):
Simon Vitecek (WasserCluster Lunz – Biologische Station GmbH)
Hans-Peter Fuehrer (University of Veterinary Medicine Vienna)
Status:
Vertrag in Vorbereitung
Fördersumme:
€ 768.933

Research on urban mosquitoes is an important but largely neglected field. In consequence, knowledge on habitats and distribution of urban mosquitoes is below par and this represents a substantial knowledge gap as demonstrated by recent outbreaks of mosquito-borne diseases in Europe.

Urban landscapes offer a wide range of natural and artificial habitats, but which mosquitoes are associated with specific urban habitats is not well known. Also, mosquito detection and monitoring is difficult to achieve in the complex urban landscapes so that knowledge on urban mosquito distribution is direly needed. In this context, we propose studying the distribution, habitat preferences and habitat use of mosquitoes in the three climate zones of the city of Vienna. Here, more than 25 mosquito species were detected in the past (including three non-native Aedes species) that include competent vectors for a wide range of pathogens – also emerging ones. Our results will provide a first assessment on the city-wide distribution of mosquitoes and their preferred habitats. Moreover, we will develop and test molecular approaches to mosquito detection and identification in urban environments for future use.

Thereby, we aim to establish the baseline for an improved monitoring of mosquitoes in urban and periurban landscapes of Vienna and provide fundamental knowledge for mosquito and mosquito-borne pathogen management.

 

 
 
Wissenschaftliche Disziplinen: Limnology (50%) | Molecular biology (30%) | Veterinary parasitology (20%)

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