Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts

•An End-to-End model (OSMOSE-MED) was built at the whole Mediterranean scale.•One hundred marine species, representing 95% of total declared catches, were embedded.•OSMOSE-MED was fitted to observed and estimated data of biomass and catch.•Results were consistent with current knowledge and observati...

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Veröffentlicht in:Progress in oceanography Jg. 178; S. 102179
Hauptverfasser: Moullec, Fabien, Velez, Laure, Verley, Philippe, Barrier, Nicolas, Ulses, Caroline, Carbonara, Pierluigi, Esteban, Antonio, Follesa, Cristina, Gristina, Michele, Jadaud, Angélique, Ligas, Alessandro, Díaz, Eduardo López, Maiorano, Porzia, Peristeraki, Panagiota, Spedicato, Maria Teresa, Thasitis, Ioannis, Valls, Maria, Guilhaumon, François, Shin, Yunne-Jai
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.11.2019
Elsevier
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ISSN:0079-6611, 1873-4472
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Abstract •An End-to-End model (OSMOSE-MED) was built at the whole Mediterranean scale.•One hundred marine species, representing 95% of total declared catches, were embedded.•OSMOSE-MED was fitted to observed and estimated data of biomass and catch.•Results were consistent with current knowledge and observations on the system.•The model can be used in support to fisheries management and biodiversity conservation. 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.
AbstractList 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.
•An End-to-End model (OSMOSE-MED) was built at the whole Mediterranean scale.•One hundred marine species, representing 95% of total declared catches, were embedded.•OSMOSE-MED was fitted to observed and estimated data of biomass and catch.•Results were consistent with current knowledge and observations on the system.•The model can be used in support to fisheries management and biodiversity conservation. 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.
ArticleNumber 102179
Author Ulses, Caroline
Maiorano, Porzia
Barrier, Nicolas
Verley, Philippe
Carbonara, Pierluigi
Shin, Yunne-Jai
Follesa, Cristina
Spedicato, Maria Teresa
Moullec, Fabien
Velez, Laure
Gristina, Michele
Valls, Maria
Díaz, Eduardo López
Ligas, Alessandro
Peristeraki, Panagiota
Thasitis, Ioannis
Esteban, Antonio
Guilhaumon, François
Jadaud, Angélique
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  email: michele.gristina@iamc.cnr.it
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  email: ligas@cibm.it
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  email: eduardo.lopez@ieo.es
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  orcidid: 0000-0001-5737-3025
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  organization: Department of Biology, University of Bari, Bari, Italy
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  email: notap@her.hcmr.gr
  organization: Hellenic Center for Marine Research, Iraklion, Crete, Greece
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  givenname: Maria Teresa
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  email: spedicato@coispa.it
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  orcidid: 0000-0001-9070-8181
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  organization: Instituto Español de Oceanografía (IEO), Centre Oceanográfic de les Balears s/n, 07015 Palma, Spain
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  surname: Guilhaumon
  fullname: Guilhaumon, François
  email: francois.guilhaumon@ird.fr
  organization: Marine Biodiversity Exploitation and Conservation (MARBEC), Université de Montpellier, IRD, CNRS, Ifremer, Montpellier, France
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  givenname: Yunne-Jai
  surname: Shin
  fullname: Shin, Yunne-Jai
  email: yunne-jai.shin@ird.fr
  organization: Marine Biodiversity Exploitation and Conservation (MARBEC), Université de Montpellier, IRD, CNRS, Ifremer, Montpellier, France
BackLink https://hal.umontpellier.fr/hal-02307206$$DView record in HAL
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Keywords Ecosystem Approach to Fisheries Management
Ecosystem model
NEMOMED model
OSMOSE model
Eco3M-S model
Global change
Fisheries
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Snippet •An End-to-End model (OSMOSE-MED) was built at the whole Mediterranean scale.•One hundred marine species, representing 95% of total declared catches, were...
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...
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StartPage 102179
SubjectTerms algorithms
Biodiversity
Biodiversity and Ecology
biomass
Botanics
Cephalopoda
climate
climate change
Crustacea
data collection
diet
Eco3M-S model
Ecology, environment
Ecosystem Approach to Fisheries Management
Ecosystem model
Ecosystems
Environmental Sciences
fish
fisheries management
Global change
Life Sciences
marine ecosystems
Mediterranean region
Mediterranean Sea
NEMOMED model
OSMOSE model
Systematics, Phylogenetics and taxonomy
trophic levels
Vegetal Biology
Title Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts
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