Lasram F. B. auteur aut IRD Hattab T. auteur aut IRD Nogues Q. auteur aut IRD Beaugrand G. auteur aut IRD Dauvin J. C. auteur aut IRD Halouani G. auteur aut IRD Le Loc'h François auteur aut IRD Niquil N. auteur aut IRD Leroy B. auteur aut IRD text journalArticle eng text/pdf born digital access Species Distribution Models (SDMs) are useful tools to project potential future species distributions under climate change scenarios. Despite the ability to run SDMs in recent and reliable tools, there are some misuses and proxies that are widely practiced and rarely addressed together, particularly when dealing with marine species. In this paper, we propose an open-source framework that includes (i) a procedure for homogenizing occurrence data to reduce the influence of sampling bias, (ii) a procedure for generating pseudo-absences, (iii) a hierarchical-filter approach, (iv) full incorporation of the third dimension by considering climatic variables at multiple depths and (v) building of maps that predict current and potential future ranges of marine species. This framework is available for non-modeller ecologists interested in investigating future species ranges with a userfriendly script. We investigated the robustness of the framework by applying it to marine species of the Eastern English Channel. Projections were built for the middle and the end of this century under RCP2.6 and RCP8.5 scenarios. specialized Bioclimatic envelope models Habitat models Pseudo-absences Vertical gradient Automated modelling framework Future projections 034 036 020 021 59 101130 [9 p.] 2020 1574-9541 https://www.documentation.ird.fr/hor/fdi:010079553 10.1016/j.ecoinf.2020.101130 1574-9541 [F B010079553] https://www.documentation.ird.fr/hor/fdi:010079553 https://www.documentation.ird.fr/intranet/publi/2020/09/010079553.pdf Accès réservé (Intranet de l'IRD) IRD - Base Horizon / Pleins textes 2020-10-09 2025-02-24 fdi:010079553 fre