@article{fdi:010079553,
  title = {{A}n open-source framework to model present and future marine species distributions at local scale},
  author = {{L}asram, {F}. {B}. and {H}attab, {T}. and {N}ogues, {Q}. and {B}eaugrand, {G}. and {D}auvin, {J}. {C}. and {H}alouani, {G}. and {L}e {L}oc'h, {F}ran{\c{c}}ois and {N}iquil, {N}. and {L}eroy, {B}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}pecies {D}istribution {M}odels ({SDM}s) are useful tools to project potential future species distributions under climate change scenarios. {D}espite the ability to run {SDM}s 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. {I}n 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. {T}his framework is available for non-modeller ecologists interested in investigating future species ranges with a userfriendly script. {W}e investigated the robustness of the framework by applying it to marine species of the {E}astern {E}nglish {C}hannel. {P}rojections were built for the middle and the end of this century under {RCP}2.6 and {RCP}8.5 scenarios.},
  keywords = {{B}ioclimatic envelope models ; {H}abitat models ; {P}seudo-absences ; {V}ertical gradient ; {A}utomated modelling framework ; {F}uture projections},
  booktitle = {},
  journal = {{E}cological {I}nformatics},
  volume = {59},
  numero = {},
  pages = {101130 [9 p.]},
  ISSN = {1574-9541},
  year = {2020},
  DOI = {10.1016/j.ecoinf.2020.101130},
  URL = {https://www.documentation.ird.fr/hor/fdi:010079553},
}