RT Journal Article SR Electronic T1 dynamAedes: a unified modelling framework for invasive Aedes mosquitoes JF bioRxiv FD Cold Spring Harbor Laboratory SP 2021.12.21.473628 DO 10.1101/2021.12.21.473628 A1 Daniele Da Re A1 Wim Van Bortel A1 Friederike Reuss A1 Ruth Müller A1 Sebastien Boyer A1 Fabrizio Montarsi A1 Silvia Ciocchetta A1 Daniele Arnoldi A1 Giovanni Marini A1 Annapaola Rizzoli A1 Gregory L’Ambert A1 Guillaume Lacour A1 Constantianus J.M. Koenraadt A1 Sophie O. Vanwambeke A1 Matteo Marcantonio YR 2021 UL http://biorxiv.org/content/early/2021/12/22/2021.12.21.473628.abstract AB Mosquito species belonging to the genus Aedes have attracted the interest of scientists and public health officers for their invasive species traits and efficient capacity of transmitting viruses affecting humans. Some of these species were brought outside their native range by human activities such as trade and tourism, and colonised new regions thanks to a unique combination of eco-physiological traits.Considering mosquito physiological and behavioural traits to understand and predict the spatial and temporal population dynamics is thus a crucial step to develop 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 species biology which could be applied to the management of invasive Aedes populations as well as for more theoretical ecological inquiries.Competing Interest StatementThe authors have declared no competing interest.