. . . . "" . "Ecology" . . "Generation Service" . . . "OXFORD UNIV PRESS" . . . "bibliographic reference" . "CNR-ISMAR" . . . . "North Sea" . . "North Sea fish population indicator" . . "statistics" . . "cross" . . "correlations" . . "indicators" . . "prewhitened cross-correlation" . "service-account-enrichment" . . . "http://rohub.org/performedtask/c8b0c47adc91347dabce5f6d8555b07a" . . . "5050"^^ . "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" . . . . . . "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. Jun 20 ,2018. https://w3id.org/ro-id/29e5dc5c-e040-45a4-b609-c45a38a8bfd9." . . . . "service-account-generation-service" . . . "2026-05-11T16:42:52.893+02:00"^^ . . . . . "Using cross-correlations to assess the relationship between time-lagged pressure and state indicators: an exemplary analysis of North Sea fish population indicators" . "RSA" . "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxszSDYX5tuCSkP7UiCtftYPFNQVTjgNu0I5fwdML2DLRDlp0xzmsQXRk8oHuvwGvG1aMjj6cpUqO+0rz2Sg/wvHOgUpkRH8VJXvmlkhafMLCMtUtk5JIx7e+fkzCby+fnmD7kMkGLrT+OaExWwEDmNlCAt0TPKcHSdwsjso2isXjtAsGevyCMke8ufnFYpjs746JES1eNzVnHnn2Kp/lqcm60GM+J8dLgRZp7fX0anW098xhKym6+xXFzqeju0vYRIHBPerv+r7skWxwk+a7Sd8msqVeYEv6NTqnyWvyWb6Yh8cvj04N6qm/T6C5FUPLQhzSaQgMVMU6yLqjPuu9DwIDAQAB" . "MLaQCrpS24AnqUgE0303vwE3p2mbaxLKJWhh3gWKfE67VUWcTPQ26Ux1NUnQ6pFcRAS9pq+Fb5rlWFED54N5HSLdCGcVGhlYbk7xFjjzaYY68R6A9jxk1Ys6WRMyVuAeZ+g/MiYx5odl2kM4Dm5FDIWBOCrlMpScCsrxIvdIBZSRsWLTLnHEYy2yQ6ai3vZj6ztInehBiHo9tqi6+QwwvA05nmathqqWr2RI6TQpiJgh28/cOya2gjg9AKAv6cT5hcwLRohTBrTekCVwn/ceBxSuf1En2zjftN9n+Lp3QnY/4G2ua0RhR6vrAxYxeYJjYZuDhbwFGAjGlL9+L1Es4g==" . . .