dynamAedes: a unified modelling framework for invasive Aedes mosquitoes

  • 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.

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Author:Daniele Da ReORCiD, Wim van BortelORCiD, Friederike ReußGND, Ruth MüllerORCiD, Sebastien BoyerORCiD, Fabrizio MontarsiORCiD, Silvia CiocchettaORCiD, Daniele ArnoldiORCiD, Giovanni MariniORCiD, Annapaola RizzoliORCiD, Gregory L’Ambert, Guillaume LacourORCiD, Constantianus J. M. KoenraadtORCiDGND, Sophie O. VanwambekeORCiD, Matteo MarcantonioORCiDGND
Parent Title (English):bioRxiv
Document Type:Preprint
Date of Publication (online):2021/12/22
Date of first Publication:2021/12/22
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2023/06/15
Page Number:58
Angeschlossene und kooperierende Institutionen / Senckenbergische Naturforschende Gesellschaft
Fachübergreifende Einrichtungen / Biodiversität und Klima Forschungszentrum (BiK-F)
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 59 Tiere (Zoologie) / 590 Tiere (Zoologie)
6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):License LogoCreative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International