Species Distribution Models (SDMs) are widely used to identify species-environmentrelationships and predicting species occurrence and/or density at un-sampled locations.The SDMs implementation allows describing species geographical trends, toidentify spatial ontogenetic shifts of commercially exploited species and to assessthe effect of climate change on species distribution. Moreover, SDMs could bean essential tool to support the marine spatial planning framework providingessential and easy-to-use interpretation tools, such as predictive distributionmaps, with the final aim of improving management and conservation especially ofvulnerable species as sea pen corals. In this study, a 10-yr period (2007-2017) of a bottom trawl survey was used to estimateand predict the suitability habitat of sea pen species as a function of several environmental variables (i.e. bathymetry, sea bottom temperature, sea bottom salinity, slope, rugosity, aspectof the seabed, etc) in Flemish Cap and Flemish Pass (ATLAS Case Study No 11) using different SDM algorithms. Resultsshow that species exhibit specific habitat preferences and spatial patterns inresponse to environmental variables.