FN Archimer Export Format
PT J
TI An open-source framework to model present and future marine species distributions at local scale
BT 
AF Ben Rais Lasram, Frida
   Hattab, Tarek
   Nogues, Quentin
   Beaugrand, Grégory
   Dauvin, Jean Claude
   Halouani, Ghassen
   LE LOCH, Francois
   Niquil, Nathalie
   Leroy, Boris
AS 1:1;2:1,2;3:3;4:1;5:4;6:3,5;7:6;8:3;9:7;
FF 1:;2:PDG-RBE-MARBEC-LHM;3:;4:;5:;6:PDG-RBE-HMMN-LRHBL;7:;8:;9:;
C1 Univ. Littoral Côte d'Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences, F 62930 Wimereux, France
   MARBEC, Univ Montpellier, CNRS, Ifremer, IRD Sète, avenue Jean Monet, Sète, France
   Normandie Université UNICAEN, UMR BOREA (MNHN, UPMC, UCN, CNRS-7208, IRD-207) CS 14032, 14000 Caen, France
   Normandie Université UNICAEN, UMR M2C (UCN, UR, CNRS-6143), 24 rue des Tilleuls, 14000 Caen Cedex, France
   Unité Halieutique Manche-Mer du Nord Ifremer, HMMN, F-62200 Boulogne-sur-mer, France
   IRD, Univ. Brest, CNRS, Ifremer, LEMAR, IUEM, 29280 Plouzané, France
   MNHN, UMR BOREA (MNHN, UPMC, UCN, CNRS-7208, IRD-207), 43 rue Cuvier, 75005 Paris, France
C2 UNIV LITTORAL COTE D'OPALE, FRANCE
   IFREMER, FRANCE
   UNIV CAEN NORMANDIE, FRANCE
   UNIV CAEN NORMANDIE, FRANCE
   IFREMER, FRANCE
   IRD, FRANCE
   MNHN, FRANCE
SI SETE
   BOULOGNE
SE PDG-RBE-MARBEC-LHM
   PDG-RBE-HMMN-LRHBL
UM LEMAR
   MARBEC
IN WOS Ifremer UPR
   WOS Ifremer UMR
   WOS Cotutelle UMR
   copubli-france
   copubli-p187
   copubli-univ-france
IF 3.142
TC 15
UR https://archimer.ifremer.fr/doc/00634/74583/74477.pdf
LA English
DT Article
CR CAMANOC
   CGFS : CHANNEL GROUND FISH SURVEY
   EVHOE EVALUATION HALIEUTIQUE OUEST DE L'EUROPE
   INTERNATIONAL BOTTOM TRAWL SURVEY (IBTS)
BO Thalassa
DE ;Bioclimatic envelope models;Habitat models;Pseudo-absences;Vertical gradient;Automated modelling framework;Future projections
AB 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. 
PY 2020
PD SEP
SO Ecological Informatics
SN 1574-9541
PU Elsevier BV
VL 59
UT 000564618700007
DI 10.1016/j.ecoinf.2020.101130
ID 74583
ER

EF