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| An open-source framework to model present and future marine species distributions at local scale Ben Rais Lasram, F.; Hattab, T.; Nogues, Q.; Beaugrand, G.; Dauvin, J.C.; Halouani, G.; Le Loc'h, F.; Niquil, N.; Leroy, B. (2020). An open-source framework to model present and future marine species distributions at local scale. Ecological Informatics 59: 101130. https://dx.doi.org/10.1016/j.ecoinf.2020.101130
In: Ecological Informatics. Elsevier: Amsterdam. ISSN 1574-9541; e-ISSN 1878-0512
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| Abstract |
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. |
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