Given the growing risk of arbovirus outbreaks in Europe, there is a clear need to better
describe the distribution of invasive mosquito species such as Aedes albopictus. Current challenges
consist in simulating Ae. albopictus abundance, rather than its presence, and mapping its simulated
abundance at a local scale to better assess the transmission risk of mosquito-borne pathogens
and optimize mosquito control strategy. During 2014–2015, we sampled adult mosquitoes using
72 BG-Sentinel traps per year in the provinces of Belluno and Trento, Italy. We found that the sum of
Ae. albopictus females collected during eight trap nights from June to September was positively related
to the mean temperature of the warmest quarter and the percentage of artificial areas in a 250 m
buffer around the sampling locations. Maps of Ae. albopictus abundance simulated from the most
parsimonious model in the study area showed the largest populations in highly artificial areas with
the highest summer temperatures, but with a high uncertainty due to the variability of the trapping
collections. Vector abundance maps at a local scale should be promoted to support stakeholders and
policy-makers in optimizing vector surveillance and control