@article{fdi:010077343,
  title = {{C}apturing the big picture of {M}editerranean marine biodiversity with an end-to-end model of climate and fishing impacts},
  author = {{M}oullec, {F}. and {V}elez, {L}. and {V}erley, {P}hilippe and {B}arrier, {N}icolas and {U}lses, {C}. and {C}arbonara, {P}. and {E}steban, {A}. and {F}ollesa, {C}. and {G}ristina, {M}. and {J}adaud, {A}. and {L}igas, {A}. and {D}iaz, {E}. {L}. and {M}aiorano, {P}. and {P}eristeraki, {P}. and {S}pedicato, {M}. {T}. and {T}hasitis, {I}. and {V}alls, {M}. and {G}uilhaumon, {F}ran{\c{c}}ois and {S}hin, {Y}unne-{J}ai},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he {M}editerranean {S}ea is one of the main hotspots of marine biodiversity in the world. {T}he 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. {T}o anticipate the impacts of global changes in the {M}editerranean {S}ea, more integrated modelling approaches are needed, which can then help policymakers prioritize management actions and formulate strategies to mitigate impacts and adapt to changes. {T}he aim of this study was to develop a holistic model of marine biodiversity in the {M}editerranean {S}ea with an explicit representation of the spatial, multispecies dynamics of exploited resources subject to the combined influence of climate variability and fishing pressure. {T}o this end, we used the individual-based {OSMOSE} model ({O}bject-oriented {S}imulator of {M}arine ec{OS}yst{E}ms), including 100 marine species (fish, cephalopods and crustaceans) representing about 95% of the total declared catch, at a high spatial resolution (400 km(2)) and a large spatial scale (the entire {M}editerranean basin) - the first time such a resolution and scale have been modelled. {W}e then combined {OSMOSE} with the {NEMOMED} 12 physical model and the {E}co3{M}-{S} biogeochemical low trophic level model to build the end-to-end model, {OSMOSE}-{MED}. {W}e fitted {OSMOSE}-{MED} model with observed or estimated biomass and commercial catch data using a likelihood approach and an evolutionary optimization algorithm. {T}he 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). {T}he 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 {M}editerranean {S}ea. {W}hile 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. {I}t is a promising tool to support ecosystem-based fishery management in the {M}editerranean {S}ea.},
  keywords = {{E}cosystem model ; {E}cosystem {A}pproach to {F}isheries {M}anagement ; {OSMOSE} model ; {NEMOMED} model ; {E}co3{M}-{S} model ; {G}lobal change ; {MEDITERRANEE}},
  booktitle = {},
  journal = {{P}rogress in {O}ceanography},
  volume = {178},
  numero = {},
  pages = {art. 102179 [18 p.]},
  ISSN = {0079-6611},
  year = {2019},
  DOI = {10.1016/j.pocean.2019.102179},
  URL = {https://www.documentation.ird.fr/hor/fdi:010077343},
}