Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts. (November 2019)
- Record Type:
- Journal Article
- Title:
- Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts. (November 2019)
- Main Title:
- Capturing the big picture of Mediterranean marine biodiversity with an end-to-end model of climate and fishing impacts
- Authors:
- 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 - Abstract:
- Highlights: 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. Abstract: 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 km 2 ) and aHighlights: 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. Abstract: 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 km 2 ) 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. … (more)
- Is Part Of:
- Progress in oceanography. Volume 178(2019)
- Journal:
- Progress in oceanography
- Issue:
- Volume 178(2019)
- Issue Display:
- Volume 178, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 178
- Issue:
- 2019
- Issue Sort Value:
- 2019-0178-2019-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-11
- Subjects:
- Ecosystem model -- Ecosystem Approach to Fisheries Management -- OSMOSE model -- NEMOMED model -- Eco3M-S model -- Global change
Oceanography -- Periodicals
551.4605 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00796611 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.pocean.2019.102179 ↗
- Languages:
- English
- ISSNs:
- 0079-6611
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6871.300000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12074.xml