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dc.contributor.authorDedman, Simon
dc.contributor.authorOfficer, Rick
dc.contributor.authorBrophy, Deirdre
dc.contributor.authorClarke, Maurice
dc.contributor.authorReid, David G.
dc.date.accessioned2019-08-15T10:34:22Z
dc.date.available2019-08-15T10:34:22Z
dc.date.issued2017
dc.identifier.citationDedman, S., Officer, R., Brophy, D., Clarke, M., & Reid, D. G. (2017a). Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays. Fishes, 2(3), 12. https://doi.org/10.3390/fishes2030012en_US
dc.identifier.issn2410-3888
dc.identifier.urihttp://hdl.handle.net/10793/1409
dc.descriptionPeer reviewed paper. Citation: Dedman, S., Officer, R., Brophy, D., Clarke, M., & Reid, D. G. (2017a). Advanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Rays. Fishes, 2(3), 12. https://doi.org/10.3390/fishes2030012 Link: https://www.mdpi.com/2410-3888/2/3/12 DOI: https://doi.org/10.3390/fishes2030012en_US
dc.description.abstractChronic overfishing has depleted numerous elasmobranch stocks in the North East Atlantic, but addressing this issue has been hampered by management complications and lacking data. Spatial management approaches have thus been advocated. This work presents a novel application and further development of an advanced spatial modeling technique to identify candidate nursery grounds and spawning areas for conservation, by subsetting already limited data. Boosted Regression Tree models are used to predict abundance of juvenile and mature female cuckoo (Leucoraja naevus), thornback (Raja clavata), blonde (Raja brachyura), and spotted (Raja montagui) rays in the Irish Sea using fish survey data and data describing fishing pressure, predation and environmental variables. Model-predicted spatial abundance maps of these subsets reveal distinct nuances in species distributions with greater predictive power than maps of the whole stock. These resulting maps are then integrated into a single easily understood map using a novel approach, standardizing and facilitating the spatial management of data-limited fish stocks.en_US
dc.language.isoenen_US
dc.publisherMDPI AGen_US
dc.relation.ispartofseriesFishes;2(3)
dc.subjectboosted regression treesen_US
dc.subjectBRTen_US
dc.subjectelasmobranchen_US
dc.subjectmarine protected areaen_US
dc.subjectMPAen_US
dc.subjectnursery areaen_US
dc.subjectspawning grounden_US
dc.subjectrayen_US
dc.titleAdvanced Spatial Modeling to Inform Management of Data-Poor Juvenile and Adult Female Raysen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/fishes2030012
dc.source.volume2
dc.source.issue3
dc.source.beginpage12
refterms.dateFOA2019-08-15T10:34:23Z


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