Skip to main content

IMIS

A new integrated search interface will become available in the next phase of marineinfo.org.
For the time being, please use IMIS to search available data

 

[ report an error in this record ]basket (1): add | show Print this page

one publication added to basket [331132]
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, more
Peer reviewed article  

Author keywords
    Bioclimatic envelope models, Habitat models, Pseudo-absences, Vertical gradient, Automated modelling framework, Future projections

Authors  Top 
  • Ben Rais Lasram, F.
  • Hattab, T.
  • Nogues, Q.
  • Beaugrand, G., more
  • Dauvin, J.C., more
  • Halouani, G.
  • Le Loc'h, F.
  • Niquil, N.
  • Leroy, B.

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.


All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors