TY  - INPR
A1  - Da Re, Daniele
A1  - Bortel, Wim van
A1  - Reuß, Friederike
A1  - Müller, Ruth
A1  - Boyer, Sebastien
A1  - Montarsi, Fabrizio
A1  - Ciocchetta, Silvia
A1  - Arnoldi, Daniele
A1  - Marini, Giovanni
A1  - Rizzoli, Annapaola
A1  - L’Ambert, Gregory
A1  - Lacour, Guillaume
A1  - Koenraadt, Constantianus J. M.
A1  - Vanwambeke, Sophie O.
A1  - Marcantonio, Matteo
T1  - dynamAedes: a unified modelling framework for invasive Aedes mosquitoes
T2  - bioRxiv
N2  - 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.
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/72991
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-729911
IS  - 2021.12.21.473628
ER  -