Näytä suppeat kuvailutiedot

dc.contributor.authorPerälä, Tommi
dc.contributor.authorOlsen, Esben M.
dc.contributor.authorHutchings, Jeffrey A.
dc.date.accessioned2020-12-08T12:01:04Z
dc.date.available2020-12-08T12:01:04Z
dc.date.issued2020
dc.identifier.citationPerälä, T., Olsen, E. M., & Hutchings, J. A. (2020). Disentangling conditional effects of multiple regime shifts on Atlantic cod productivity. <i>PLoS ONE</i>, <i>15</i>(11), Article e0237414. <a href="https://doi.org/10.1371/journal.pone.0237414" target="_blank">https://doi.org/10.1371/journal.pone.0237414</a>
dc.identifier.otherCONVID_47298467
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/73034
dc.description.abstractRegime shifts are increasingly prevalent in the ecological literature. However, definitions vary and detection methods are still developing. Here, we employ a novel statistical algorithm based on the Bayesian online change-point detection framework to simultaneously identify shifts in the mean and (or) variance of time series data. We detected multiple regime shifts in long-term (59–154 years) patterns of coastal Norwegian Atlantic cod (>70% decline) and putative drivers of cod productivity: North Atlantic Oscillation (NAO); sea-surface temperature; zooplankton abundance; fishing mortality (F). The consequences of an environmental or climate-related regime shift on cod productivity are accentuated when regime shifts coincide, fishing mortality is high, and populations are small. The analyses suggest that increasing F increasingly sensitized cod in the mid 1970s and late 1990s to regime shifts in NAO, zooplankton abundance, and water temperature. Our work underscores the necessity of accounting for human-induced mortality in regime shift analyses of marine ecosystems.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherPublic Library of Science
dc.relation.ispartofseriesPLoS ONE
dc.rightsCC BY 4.0
dc.titleDisentangling conditional effects of multiple regime shifts on Atlantic cod productivity
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202012086979
dc.contributor.laitosBio- ja ympäristötieteiden laitosfi
dc.contributor.laitosDepartment of Biological and Environmental Scienceen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1932-6203
dc.relation.numberinseries11
dc.relation.volume15
dc.type.versionpublishedVersion
dc.rights.copyright© 2020 Perälä et al
dc.rights.accesslevelopenAccessfi
dc.subject.ysoaikasarja-analyysi
dc.subject.ysokannanvaihtelut
dc.subject.ysobayesilainen menetelmä
dc.subject.ysoympäristötekijät
dc.subject.ysoilmastonmuutokset
dc.subject.ysokalakannat
dc.subject.ysoturska
dc.subject.ysoliikakalastus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p22747
jyx.subject.urihttp://www.yso.fi/onto/yso/p26936
jyx.subject.urihttp://www.yso.fi/onto/yso/p17803
jyx.subject.urihttp://www.yso.fi/onto/yso/p6194
jyx.subject.urihttp://www.yso.fi/onto/yso/p5729
jyx.subject.urihttp://www.yso.fi/onto/yso/p8529
jyx.subject.urihttp://www.yso.fi/onto/yso/p7011
jyx.subject.urihttp://www.yso.fi/onto/yso/p20940
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1371/journal.pone.0237414
dc.type.okmA1


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