An open-source framework to model present and future marine species distributions at local scale
|Author(s)||Ben Rais Lasram Frida1, Hattab Tarek1, 2, Nogues Quentin3, Beaugrand Grégory1, Dauvin Jean Claude4, Halouani Ghassen3, 5, Le Loch Francois6, Niquil Nathalie3, Leroy Boris7|
|Affiliation(s)||1 : Univ. Littoral Côte d'Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences, F 62930 Wimereux, France
2 : MARBEC, Univ Montpellier, CNRS, Ifremer, IRD Sète, avenue Jean Monet, Sète, France
3 : Normandie Université UNICAEN, UMR BOREA (MNHN, UPMC, UCN, CNRS-7208, IRD-207) CS 14032, 14000 Caen, France
4 : Normandie Université UNICAEN, UMR M2C (UCN, UR, CNRS-6143), 24 rue des Tilleuls, 14000 Caen Cedex, France
5 : Unité Halieutique Manche-Mer du Nord Ifremer, HMMN, F-62200 Boulogne-sur-mer, France
6 : IRD, Univ. Brest, CNRS, Ifremer, LEMAR, IUEM, 29280 Plouzané, France
7 : MNHN, UMR BOREA (MNHN, UPMC, UCN, CNRS-7208, IRD-207), 43 rue Cuvier, 75005 Paris, France
|Source||Ecological Informatics (1574-9541) (Elsevier BV), 2020-09 , Vol. 59 , P. 101130 (9p.)|
|WOS© Times Cited||10|
|Keyword(s)||Bioclimatic envelope models, Habitat models, Pseudo-absences, Vertical gradient, Automated modelling framework, Future projections|
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.