FN Archimer Export Format PT J TI Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts BT AF Moullec, Fabien Velez, Laure Verley, Philippe Barrier, Nicolas Ulses, Caroline Carbonara, Pierluigi Esteban, Antonio Follesa, Cristina Gristina, Michele Jadaud, Angelique Ligas, Alessandro Díaz, Eduardo López Maiorano, Porzia Peristeraki, Panagiota Spedicato, Maria Teresa Thasitis, Ioannis Valls, Maria Guilhaumon, François Shin, Yunne-Jai AS 1:1;2:1;3:2;4:17;5:4;6:5;7:6;8:7;9:8;10:3;11:9;12:10;13:11;14:12,13;15:5;16:14;17:15;18:1;19:1,17; FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:PDG-RBE-MARBEC-LHM;11:;12:;13:;14:;15:;16:;17:;18:;19:; C1 Marine Biodiversity Exploitation and Conservation (MARBEC), Université de Montpellier, IRD, CNRS, Ifremer, Montpellier, France Botanique et Bioinformatique de l’Architecture des Plantes (AMAP) IRD, CIRAD, Boulevard de la Lironde, 34398 Montpellier Cedex 5, France Marine Biodiversity Exploitation and Conservation (MARBEC), Université de Montpellier, IRD, CNRS, Ifremer, Sète, France Laboratoire d’Aérologie, Université de Toulouse, CNRS, UPS, Toulouse, France COISPA Tecnologia and Ricerca, Stazione Sperimentale per lo Studio delle Risorse del Mare, Bari, Italy Instituto Español de Oceanografía (IEO), Centro Oceanográfico de Murcia, Murcia, Spain Dipartimento di Biologia Animale ed Ecologia, Universita di Cagliari, Cagliari, Italy Institute for the Coastal Marine Environment (CNR), Mazara del Vallo, Italy Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata ‘G. Bacci’, viale N. Sauro 4, I‐57128 Livorno, Italy Instituto Español de Oceanografía (IEO), Centro Oceanográfico de Málaga, Fuengirola, Málaga, Spain Department of Biology, University of Bari, Bari, Italy Hellenic Center for Marine Research, Iraklion, Crete, Greece University of Crete, Biology Department, Stavrakia, Heraklion, Crete Department of Fisheries and Marine Research, Ministry of Agriculture, Natural Resources and Environment, Nicosia, Cyprus Instituto Español de Oceanografía (IEO), Centre Oceanográfic de les Balears s/n, 07015 Palma, Spain Marine Research (MA-RE) Institute and Department of Biological Sciences, University of Cape Town, Private Bag X3, Rondebosch 7701, South Africa Marine Biodiversity Exploitation and Conservation (MARBEC), Université de Montpellier, IRD, CNRS, Ifremer, Sète, France C2 UNIV MONTPELLIER, FRANCE IRD, FRANCE IFREMER, FRANCE OBSERV MIDI PYRENEES, FRANCE COISPA TECNOL & RIC, ITALY IEO, SPAIN UNIV CAGLIARI, ITALY CNR IAMC, ITALY CIBM, ITALY IEO, SPAIN UNIV BARI, ITALY HELLENIC CTR MARINE RES, GREECE UNIV CRETE, GREECE DEPT FISH MARINE RES, CYPRUS IEO, SPAIN UNIV CAPE TOWN, SOUTH AFRICA IRD, FRANCE SI SETE SE PDG-RBE-MARBEC-LHM UM MARBEC IN WOS Ifremer UMR WOS Cotutelle UMR copubli-france copubli-p187 copubli-europe copubli-univ-france copubli-int-hors-europe copubli-sud IF 4.06 TC 21 UR https://archimer.ifremer.fr/doc/00512/62408/66668.pdf LA English DT Article CR MEDITS DE ;Ecosystem model;Ecosystem Approach to Fisheries Management;OSMOSE model;NEMOMED model;Eco3M-S model;Global change AB The Mediterranean Sea is one of the main hotspots of marine biodiversity in the world. The combined pressures of fishing activity and climate change have also made it a hotspot of global change amidst increasing concern about the worsening status of exploited marine species. To anticipate the impacts of global changes in the Mediterranean Sea, more integrated modelling approaches are needed, which can then help policymakers prioritize management actions and formulate strategies to mitigate impacts and adapt to changes. The aim of this study was to develop a holistic model of marine biodiversity in the Mediterranean Sea with an explicit representation of the spatial, multispecies dynamics of exploited resources subject to the combined influence of climate variability and fishing pressure. To this end, we used the individual-based OSMOSE model (Object-oriented Simulator of Marine ecOSystEms), including 100 marine species (fish, cephalopods and crustaceans) representing about 95% of the total declared catch, at a high spatial resolution (400 km2) and a large spatial scale (the entire Mediterranean basin) – the first time such a resolution and scale have been modelled. We then combined OSMOSE with the NEMOMED 12 physical model and the Eco3M-S biogeochemical low trophic level model to build the end-to-end model, OSMOSE-MED. We fitted OSMOSE-MED model with observed or estimated biomass and commercial catch data using a likelihood approach and an evolutionary optimization algorithm. The outputs of OSMOSE-MED were then verified against observed biomass and catch data, and compared with independent datasets (MEDITS data, diet composition and trophic levels). The model results – at different hierarchical levels, from individuals to the scale of the ecosystem – were consistent with current knowledge of the structure, functioning and dynamics of the ecosystems in the Mediterranean Sea. While the model could be further improved in future iterations, all the modelling steps – the comprehensive representation of key ecological processes and feedback, the selective parameterization of the model, and the comparison with observed data in the validation process – strengthened the predictive performance of OSMOSE-MED and thus its relevance as an impact model to explore the future of marine biodiversity under scenarios of global change. It is a promising tool to support ecosystem-based fishery management in the Mediterranean Sea. PY 2019 PD NOV SO Progress In Oceanography SN 0079-6611 PU Elsevier BV VL 178 UT 000496861900020 DI 10.1016/j.pocean.2019.102179 ID 62408 ER EF