Abstract

Mosquito species belonging to the genus Aedes have attracted the interest of scientists and public health officers because of their capacity to transmit viruses that affect humans. Some of these species were brought outside their native range by means of trade and tourism and then colonised new regions thanks to a unique combination of eco-physiological traits. Considering mosquito physiological and behavioural traits to understand and predict their population dynamics is thus a crucial step in developing strategies to mitigate the local densities of invasive Aedes populations. Here, we synthesised the life cycle of four invasive Aedes species (Ae. aegypti, Ae. albopictus, Ae. japonicus and Ae. koreicus) in a single multi-scale stochastic modelling framework which we coded in the R package dynamAedes. We designed a stage-based and time-discrete stochastic model driven by temperature, photo-period and inter-specific larval competition that can be applied to three different spatial scales: punctual, local and regional. These spatial scales consider different degrees of spatial complexity and data availability by accounting for both active and passive dispersal of mosquito species as well as for the heterogeneity of the input temperature data. Our overarching aim was to provide a flexible, open-source and user-friendly tool rooted in the most updated knowledge on the species’ biology which could be applied to the management of invasive Aedes populations as well as to more theoretical ecological inquiries.

Details

Title
dynamAedes: a unified modelling framework for invasive Aedes mosquitoes
Author
Daniele Da Re; Wim Van Bortel; Reuss, Friederike; Müller, Ruth; Boyer, Sebastien; Montarsi, Fabrizio; Ciocchetta, Silvia; Arnoldi, Daniele; Marini, Giovanni; Rizzoli, Annapaola; Gregory L’Ambert; Lacour, Guillaume; Koenraadt, Constantianus J M; Vanwambeke, Sophie O; Marcantonio, Matteo
Pages
1-18
Section
Methodology
Publication year
2022
Publication date
2022
Publisher
BioMed Central
e-ISSN
1756-3305
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2737802529
Copyright
© 2022. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.