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dc.contributor.authorJansen, Ten
dc.contributor.authorKristensen, Ken
dc.contributor.authorPayne, Men
dc.contributor.authorEdwards, Men
dc.contributor.authorSchrum, Cen
dc.contributor.authorPitois, Sen
dc.date.accessioned2019-11-27T12:18:13Z
dc.date.available2019-11-27T12:18:13Z
dc.date.issued2012en
dc.identifier.urihttp://hdl.handle.net/10026.1/15195
dc.description.abstract

We present a unique view of mackerel (Scomber scombrus) in the North Sea based on a new time series of larvae caught by the Continuous Plankton Recorder (CPR) survey from 1948-2005, covering the period both before and after the collapse of the North Sea stock. Hydrographic backtrack modelling suggested that the effect of advection is very limited between spawning and larvae capture in the CPR survey. Using a statistical technique not previously applied to CPR data, we then generated a larval index that accounts for both catchability as well as spatial and temporal autocorrelation. The resulting time series documents the significant decrease of spawning from before 1970 to recent depleted levels. Spatial distributions of the larvae, and thus the spawning area, showed a shift from early to recent decades, suggesting that the central North Sea is no longer as important as the areas further west and south. These results provide a consistent and unique perspective on the dynamics of mackerel in this region and can potentially resolve many of the unresolved questions about this stock.

en
dc.format.extente38758 - ?en
dc.languageengen
dc.language.isoengen
dc.subjectAlgorithmsen
dc.subjectAnimalsen
dc.subjectComputer Simulationen
dc.subjectData Interpretation, Statisticalen
dc.subjectEnvironmental Monitoringen
dc.subjectGeographyen
dc.subjectModels, Statisticalen
dc.subjectNormal Distributionen
dc.subjectNorth Seaen
dc.subjectPerciformesen
dc.subjectPlanktonen
dc.subjectPopulation Dynamicsen
dc.subjectProportional Hazards Modelsen
dc.subjectRetrospective Studiesen
dc.subjectTime Factorsen
dc.titleLong-term retrospective analysis of mackerel spawning in the North Sea: a new time series and modeling approach to CPR data.en
dc.typeJournal Article
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/22737221en
plymouth.issue6en
plymouth.volume7en
plymouth.publication-statusPublisheden
plymouth.journalPLoS Oneen
dc.identifier.doi10.1371/journal.pone.0038758en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
dc.publisher.placeUnited Statesen
dcterms.dateAccepted2012-05-10en
dc.identifier.eissn1932-6203en
dc.rights.embargoperiodNot knownen
rioxxterms.funderNatural Environment Research Council
rioxxterms.identifier.projectSAHFOS Continuous Plankton Recorder
rioxxterms.versionofrecord10.1371/journal.pone.0038758en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2012en
rioxxterms.typeJournal Article/Reviewen
plymouth.funderSAHFOS Continuous Plankton Recorder::Natural Environment Research Councilen


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