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dc.contributor.authorLukyanova, Olga : Pouso, Sarai : Garcia-Baron, Isabel : Borja, Angel
dc.contributor.authorBas, Maria
dc.contributor.authorCormier, Roland
dc.contributor.authorKatsanevakis, Stelios and Neuenfeldt, Stefan
dc.contributor.authorStelzenmueller, Vanessa
dc.contributor.authorGalparsoro, Ibon
dc.date.accessioned2025-11-13T12:27:35Z-
dc.date.available2025-11-13T12:27:35Z-
dc.date.issued2025
dc.identifierWOS:001489006300001
dc.identifier.issn0006-3207
dc.identifier.urihttp://dspace.azti.es/handle/24689/2460-
dc.description.abstractMarine ecosystems face significant declines in biodiversity and health due to human activities and environmental changes. To address this, global and regional policies aim to protect 30 \% of marine areas by 2030, known as the `30 x 30' target. Achieving this goal in a way that effectively safeguards biodiversity requires a comprehensive strategy that incorporates the full complexity of ecosystem processes and functions. This study introduces a framework for enhancing ecosystem-based conservation and management by leveraging the Ecologically or Biologically Significant Marine Area (EBSA) criteria established under the Convention on Biological Diversity. Our approach provides a structured workflow for integrating data from multiple sources, guided by the EBSA criteria, for a holistic assessment of the relative ecological significance across different regions. By focusing on the spatial distribution of ecological significance, the framework brings the EBSA identification process to a spatial resolution suitable for informing regional or national decision-making. It supports the identification of priority areas for conservation that goes beyond single-species or habitat protection by incorporating ecosystemlevel processes and offers a foundation for broader marine spatial planning and management initiatives. Furthermore, it includes a method for evaluating data quality and spatial coverage, enabling spatially explicit assessments of uncertainty and data gaps. Tested in the Bay of Biscay, our approach offers a robust and adaptable framework for both data-rich and data-poor regions, thereby enhancing spatial management and conservation efforts while ensuring traceability and transparency.
dc.language.isoEnglish
dc.publisherELSEVIER SCI LTD
dc.subjectMarine management
dc.subjectMarine conservation
dc.subjectMarine protected area
dc.subjectMarine spatial planning
dc.subjectEcosystem-based management
dc.subjectSpatial planning
dc.subjectPRIORITY AREAS
dc.subjectIDENTIFICATION
dc.subjectLESSONS
dc.subjectFITNESS
dc.subjectEBSAS
dc.titleOperationalising Ecologically or Biologically Significant Marine Areas criteria for ecosystem-based conservation and management: The Bay of Biscay case
dc.typeArticle
dc.identifier.journalBIOLOGICAL CONSERVATION
dc.format.volume308
dc.contributor.funderHorizon Europe [101059407, 10038951, 10050537, CEX2019-000928-S]
dc.contributor.funderAge ` ncia de Gestio <acute accent> d'Ajuts Universitaris i de Recerca (Generalitat de Catalunya) [2021 SGR 00435]
dc.contributor.funderAZTI's Marine Research, Basque Research and Technology Alliance (BRTA)
dc.identifier.e-issn1873-2917
dc.identifier.doi10.1016/j.biocon.2025.111156
Aparece en las tipos de publicación: Artículos científicos



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