Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region

12 pages, 4 figures, 1 table, supplementary information https://doi.org/10.1038/s41598-022-18017-x

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Bibliographic Details
Main Authors: Piroddi, Chiara, Coll, Marta, Macías, Diego, Steenbeek, Jeroen, Garcia-Gorriz, Elisa, Mannini, Alessandro, Vilás González, Daniel, Christensen, Villy
Other Authors: European Commission
Format: artículo biblioteca
Language:English
Published: Nature Publishing Group 2022-11
Subjects:http://metadata.un.org/sdg/14, Conserve and sustainably use the oceans, seas and marine resources for sustainable development,
Online Access:http://hdl.handle.net/10261/285918
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100000038
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spelling dig-icm-es-10261-2859182022-12-30T11:23:14Z Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region Piroddi, Chiara Coll, Marta Macías, Diego Steenbeek, Jeroen Garcia-Gorriz, Elisa Mannini, Alessandro Vilás González, Daniel Christensen, Villy European Commission Ministerio de Ciencia, Innovación y Universidades (España) Agencia Estatal de Investigación (España) Natural Sciences and Engineering Research Council of Canada http://metadata.un.org/sdg/14 Conserve and sustainably use the oceans, seas and marine resources for sustainable development 12 pages, 4 figures, 1 table, supplementary information https://doi.org/10.1038/s41598-022-18017-x Cumulative pressures are rapidly expanding in the Mediterranean Sea with consequences for marine biodiversity and marine resources, and the services they provide. Policy makers urge for a marine ecosystem assessment of the region in space and time. This study evaluates how the whole Mediterranean food web may have responded to historical changes in the climate, environment and fisheries, through the use of an ecosystem modelling over a long time span (decades) at high spatial resolution (8 × 8 km), to inform regional and sub-regional management. Results indicate coastal and shelf areas to be the sites with highest marine biodiversity and marine resources biomass, which decrease towards the south-eastern regions. High levels of total catches and discards are predicted to be concentrated in the Western sub-basin and the Adriatic Sea. Mean spatial–temporal changes of total and commercial biomass show increases in offshore waters of the region, while biodiversity indicators show marginal changes. Total catches and discards increase greatly in offshore waters of the Western and Eastern sub-basins. Spatial patterns and temporal mean changes of marine biodiversity, community biomasses and trophic indices, assessed in this study, aim at identifying areas and food web components that show signs of deterioration with the overall goal of assisting policy makers in designing and implementing spatial management actions for the region MC was partially funded by the European Union’s Horizon 2020 research and innovation programme under Grant agreement No 869300 (FutureMares). MC and JS acknowledge funding from the Ministerio de Ciencia e Innovación, Proyectos de I+D+I (RETOS-PID2020-118097RB-I00, ProOceans project). MC acknowledges the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). VC acknowledges support through Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant RGPIN-2019-04901 Peer reviewed 2022-12-30T11:23:14Z 2022-12-30T11:23:14Z 2022-11 artículo Scientific Reports 12: 19680 (2022) CEX2019-000928-S http://hdl.handle.net/10261/285918 10.1038/s41598-022-18017-x 2045-2322 http://dx.doi.org/10.13039/501100000780 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100000038 en #PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/EC/H2020/869300 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-118097RB-I00/ES/HACIA LA MEJORA DE LOS MODELOS DE ECOSISTEMAS MARINOS PARA PROYECTAR LOS EFECTOS ACUMULADOS DEL CAMBIO GLOBAL Y POSIBLES FUTUROS DEL OCEANO/ Publisher's version https://doi.org/10.1038/s41598-022-18017-x Sí open Nature Publishing Group
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country España
countrycode ES
component Bibliográfico
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region Europa del Sur
libraryname Biblioteca del ICM España
language English
topic http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
spellingShingle http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
Piroddi, Chiara
Coll, Marta
Macías, Diego
Steenbeek, Jeroen
Garcia-Gorriz, Elisa
Mannini, Alessandro
Vilás González, Daniel
Christensen, Villy
Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
description 12 pages, 4 figures, 1 table, supplementary information https://doi.org/10.1038/s41598-022-18017-x
author2 European Commission
author_facet European Commission
Piroddi, Chiara
Coll, Marta
Macías, Diego
Steenbeek, Jeroen
Garcia-Gorriz, Elisa
Mannini, Alessandro
Vilás González, Daniel
Christensen, Villy
format artículo
topic_facet http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
author Piroddi, Chiara
Coll, Marta
Macías, Diego
Steenbeek, Jeroen
Garcia-Gorriz, Elisa
Mannini, Alessandro
Vilás González, Daniel
Christensen, Villy
author_sort Piroddi, Chiara
title Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
title_short Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
title_full Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
title_fullStr Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
title_full_unstemmed Modelling the Mediterranean Sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
title_sort modelling the mediterranean sea ecosystem at high spatial resolution to inform the ecosystem-based management in the region
publisher Nature Publishing Group
publishDate 2022-11
url http://hdl.handle.net/10261/285918
http://dx.doi.org/10.13039/501100000780
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100000038
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