Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Effects of the Weather on the Seasonal Population Trend of Aedes albopictus (Diptera: Culicidae) in Northern Italy

Marco Carrieri
ORCID logo ,
Alessandro Albieri
* ORCID logo ,
Paola Angelini
,
Monica Soracase
,
Michele Dottori
,
Gabriele Antolini
ORCID logo ,
Romeo Bellini
ORCID logo
Version 1 : Received: 3 July 2023 / Approved: 4 July 2023 / Online: 4 July 2023 (05:26:17 CEST)

A peer-reviewed article of this Preprint also exists.

Carrieri, M.; Albieri, A.; Angelini, P.; Soracase, M.; Dottori, M.; Antolini, G.; Bellini, R. Effects of the Weather on the Seasonal Population Trend of Aedes albopictus (Diptera: Culicidae) in Northern Italy. Insects 2023, 14, 879. Carrieri, M.; Albieri, A.; Angelini, P.; Soracase, M.; Dottori, M.; Antolini, G.; Bellini, R. Effects of the Weather on the Seasonal Population Trend of Aedes albopictus (Diptera: Culicidae) in Northern Italy. Insects 2023, 14, 879.

Abstract

Background: Aedes albopictus, the Asian Tiger Mosquito, has become a prevalent pest in Italy, causing severe nuisance and posing a threat of transmission of arboviruses introduced by infected travellers. In this study, we investigated the influence of weather parameters on the seasonal population density of Aedes albopictus. Methods: A Bayesian approach was employed to identify the best meteorological predictors of species trend, using the eggs collected monthly from 2010 to 2022 by the Emilia-Romagna regional monitoring network. Results: The findings show that the winter-spring period (January to May) plays a crucial role in the size of the first generation and seasonal development of the species. Conclusions: A temperate winter and a dry and cold March, followed by a rainy and hot spring and a rainy July, seem to favour the seasonal development of Ae. albopictus.

Keywords

Aedes albopictus; Bayesian model; MCMC; ovitraps; climate change

Subject

Biology and Life Sciences, Insect Science

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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