@article {7092,
	title = {An open-source framework to model present and future marine species distributions at local scale},
	journal = {Ecological Informatics},
	volume = {59},
	year = {2020},
	abstract = {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 user-friendly 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. {\textcopyright} 2020 Elsevier B.V.},
	keywords = {Climate Change, ecological modeling, English Channel, filter, future prospect, hierarchical system, marine ecosystem, sampling, scenario analysis, species diversity},
	issn = {15749541},
	doi = {10.1016/j.ecoinf.2020.101130},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086876945\&doi=10.1016\%2fj.ecoinf.2020.101130\&partnerID=40\&md5=0a5c308eac10a69880027d5de2e6fe98},
	author = {Ben Rais Lasram, F. and Hattab, T. and Nogues, Quentin and Beaugrand, G. and Dauvin, J.C. and Halouani, G. and Le Loc{\textquoteright}h, F. and Nathalie Niquil and Leroy, B.}
}
