@prefix this: . @prefix sub: . @prefix np: . @prefix dct: . @prefix pav: . @prefix rdf: . @prefix owl: . @prefix rdfg: . @prefix dce: . @prefix xsd: . @prefix rdfs: . @prefix prov: . @prefix npx: . sub:Head { this: a np:Nanopublication; np:hasAssertion sub:assertion; np:hasProvenance sub:provenance; np:hasPublicationInfo sub:pubinfo . } sub:assertion { a ; ""; "Ecology" . a , ; "Generation Service" . a ; "OXFORD UNIV PRESS" . a ; "bibliographic reference" . a ; "CNR-ISMAR" . a dct:BibliographicResource . a ; "North Sea" . a ; "North Sea fish population indicator" . a ; "statistics" . a ; "cross" . a ; "correlations" . a ; "indicators" . a ; "prewhitened cross-correlation" . a ; "service-account-enrichment" . a , , , , ; pav:importedBy ; "http://rohub.org/performedtask/c8b0c47adc91347dabce5f6d8555b07a"; ; ; "5050"^^xsd:integer; "https://api.rohub.org/api/ros/29e5dc5c-e040-45a4-b609-c45a38a8bfd9/crate/download/"; ; "http://rohub.org/ext/feb7b4f72d9e3bdfaa4307aa569da0fb"; ; "2018-06-20 11:23:31.886000+00:00"; "2025-03-05 02:47:03.826962+00:00"; "2018-06-20 11:23:31.886000+00:00"; "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."; "application/ld+json"; "2012-05-01"; "https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9"; ; "Using cross-correlations to assess the relationship between time-lagged pressure and state indicators: an exemplary analysis of North Sea fish population indicators"; "European Union", "correlation", "ecosystem", "indicator", "management", "pressure sensor", "pressure", "relationship", "time series", "understanding"; "earth sciences"; "Animal", "Ecosystem"; "Marine Strategy Framework Directive", "correlation", "indicator", "pressure indicator", "pressure", "relationship", "time series"; "life sciences"; "European Union-Marine Strategy Framework Directive", "ecosystem state", "indicator suite", "state indicator", "whitened cross-correlation"; "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.", "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.", "Using cross-correlations to assess the relationship between time-lagged pressure and state indicators: an exemplary analysis of North Sea fish population indicators."; "Open access"; prov:generatedAtTime "2012-05-01"; "statistics"; "European Union"; "North Sea"; "CNR-ISMAR, and Generation Service. \"Using cross-correlations to assess the relationship between time-lagged pressure and state indicators: an exemplary analysis of North Sea fish population indicators.\" ROHub. 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