Biological invasions, which are constantly increasing worldwide, constitute one of the main threats on biodiversity. In addition, climate change would help species – notably ectotherms - broaden their distribution range. Getting a better understanding of invasive species’ biology and invasion history could help us reacting in a more appropriate way to future invasions, if not preventing them. Species distribution modelling (SDM) can be used to predict the suitable areas for invasive species and thus help choosing in which area focus the detection and conservation efforts. As part of the Life Project SAMFIX (2018-2022), we applied SDM to Xylosandrus crassiusculus and X. compactus, two ambrosia beetles newly arrived in Europe. We performed MaxEnt and Biomod models, and projected these models using both present climate data and future climate scenarios. At the same time, traps equipped to lure those two species have been set in South of France between the Italian border and Toulon in order to monitor their expansion in the Mediterranean basin, and acquire data on their phenology and dynamics. This will allow us to update their distribution and make prediction maps about the suitable areas for both species throughout Europe and thus to know where to reinforce our trapping efforts next years. This should allow us noticing further invasions at earlier stages and help mitigating the effects of their invasion in areas of interest such as National Parks and other protected areas. We will here present our first results