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dc.contributor.authorQueiros, Ana M.
dc.contributor.authorTalbot, Elizabeth
dc.contributor.authorBeaumont, Nicola J. and Somerfield, Paul J.
dc.contributor.authorKay, Susan
dc.contributor.authorPascoe, Christine
dc.contributor.authorDedman, Simon
dc.contributor.authorFernandes, Jose A.
dc.contributor.authorJueterbock, Alexander
dc.contributor.authorMiller, Peter I.
dc.contributor.authorSailley, Sevrine F.
dc.contributor.authorSara, Ginaluca
dc.contributor.authorCarr, Liam M. and Austen, Melanie C.
dc.contributor.authorWiddicombe, Steve
dc.contributor.authorRilov, Gil
dc.contributor.authorLevin, Lisa A.
dc.contributor.authorHull, Stephen C.
dc.contributor.authorWalmsley, Suzannah F.
dc.contributor.authorNic Aonghusa, Caitriona
dc.date.accessioned2022-01-04T11:31:11Z-
dc.date.available2022-01-04T11:31:11Z-
dc.date.issued2021
dc.identifierWOS:000692752800001
dc.identifier.citationGLOBAL CHANGE BIOLOGY, 2021, 27, 5514-5531
dc.identifier.issn1354-1013
dc.identifier.urihttp://dspace.azti.es/handle/24689/1207-
dc.description.abstractMarine spatial planning that addresses ocean climate-driven change ('climate-smart MSP') is a global aspiration to support economic growth, food security and ecosystem sustainability. Ocean climate change ('CC') modelling may become a key decision-support tool for MSP, but traditional modelling analysis and communication challenges prevent their broad uptake. We employed MSP-specific ocean climate modelling analyses to inform a real-life MSP process; addressing how nature conservation and fisheries could be adapted to CC. We found that the currently planned distribution of these activities may become unsustainable during the policy's implementation due to CC, leading to a shortfall in its sustainability and blue growth targets. Significant, climate-driven ecosystem-level shifts in ocean components underpinning designated sites and fishing activity were estimated, reflecting different magnitudes of shifts in benthic versus pelagic, and inshore versus offshore habitats. Supporting adaptation, we then identified: CC refugia (areas where the ecosystem remains within the boundaries of its present state); CC hotspots (where climate drives the ecosystem towards a new state, inconsistent with each sectors' present use distribution); and for the first time, identified bright spots (areas where oceanographic processes drive range expansion opportunities that may support sustainable growth in the medium term). We thus create the means to: identify where sector-relevant ecosystem change is attributable to CC; incorporate resilient delivery of conservation and sustainable ecosystem management aims into MSP; and to harness opportunities for blue growth where they exist. Capturing CC bright spots alongside refugia within protected areas may present important opportunities to meet sustainability targets while helping support the fishing sector in a changing climate. By capitalizing on the natural distribution of climate resilience within ocean ecosystems, such climate-adaptive spatial management strategies could be seen as nature-based solutions to limit the impact of CC on ocean ecosystems and dependent blue economy sectors, paving the way for climate-smart MSP.
dc.language.isoEnglish
dc.publisherWILEY
dc.subjectadaptation
dc.subjectblue carbon
dc.subjectclimate change
dc.subjectfisheries
dc.subjectmarine protected area
dc.subjectmarine spatial planning
dc.subjectmitigation
dc.subjectnature-based solutions
dc.subjectOCEAN
dc.subjectPROTECTION
dc.subjectBENEFITS
dc.subjectTRACKING
dc.subjectFARMS
dc.titleBright spots as climate-smart marine spatial planning tools for conservation and blue growth
dc.typeArticle
dc.identifier.journalGLOBAL CHANGE BIOLOGY
dc.format.page5514-5531
dc.format.volume27
dc.contributor.funderIrish Government
dc.contributor.funderCOPERNICUS [2018/C3S\_422\_Lot2\_PML]
dc.contributor.funderGlobal Challenges Research Fund [NE/P021050/1, NE/P021107/1]
dc.contributor.funderEuropean Maritime Fisheries Fund [SERV-18-OSIS-002]
dc.contributor.funderEuropean Union's Horizon 2020 [869300]
dc.identifier.e-issn1365-2486
dc.identifier.doi10.1111/gcb.15827
Aparece en las tipos de publicación: Artículos científicos



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