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https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/author http://rohub.org/users/portal/cbf3036d06193013875d7bd3b9956c89 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/contentSize 5050 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/contentUrl https://api.rohub.org/api/ros/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/crate/download/ https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/contributor http://everest.psnc.pl/users/generation_service/ https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/copyrightHolder http://rohub.org/ext/feb7b4f72d9e3bdfaa4307aa569da0fb https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/creator http://everest.psnc.pl/users/generation_service/ https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/dateCreated 2018-06-20 11:23:31.886000+00:00 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/dateModified 2025-03-05 02:47:03.826962+00:00 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/datePublished 2018-06-20 11:23:31.886000+00:00 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/description A sustainable ecosystem-based management, as postulated by the European Union-Marine Strategy Framework Directive (MSFD), requires a sound understanding of the cause-effect relationships between human pressures and ecosystem states. In this study, cross-correlations are used to introduce a protocol for the analysis of time-lagged relationships between pressure and state indicators. To perform meaningful cross-correlations, the time-series of the pressure and the state indicator should be prewhitened by fitting autoregressive integrated moving average models to the pressure indicator time-series. This study provides some theoretical examples on the implications of non-prewhitened and prewhitened cross-correlations and exemplifies the use of prewhitened cross-correlations to compare the pressure-state relationship of a well-established indicator suite vs. the relationship of a new indicator proposed under the MSFD. The established indicator suite is fishing mortality (F) vs. spawning-stock biomass (SSB), the new indicator suite is F vs. the 95% percentile of the length frequency distribution (L95). The L95 aims to characterize the proportion of large individuals within a population. The prewhitened cross-correlations for F and SSB are significant for all four analysed species (cod, haddock, saithe, and plaice), the L95 is correlated with F for cod, haddock, and saithe. However, the L95 was also influenced by the annual survey catch and recruitment. https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/endTime 2012-05-01 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/identifier https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9 https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://schema.org/name Using cross-correlations to assess the relationship between time-lagged pressure and state indicators: an exemplary analysis of North Sea fish population indicators https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept European Union https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept correlation https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept ecosystem https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept indicator https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept management https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept pressure sensor https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept pressure https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept relationship https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept time series https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Concept understanding 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http://w3id.org/ro/earth-science#Sentence A sustainable ecosystem-based management, as postulated by the European Union-Marine Strategy Framework Directive (MSFD) requires a sound understanding of the cause-effect relationships between human pressures and ecosystem states. https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Sentence To perform meaningful cross-correlations, the time-series of the pressure and the state indicator should be prewhitened by fitting autoregressive integrated moving average models to the pressure indicator time-series. https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#Sentence Using cross-correlations to assess the relationship between time-lagged pressure and state indicators: an exemplary analysis of North Sea fish population indicators. https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/ http://w3id.org/ro/earth-science#distributionCategory Open access 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