20210719 14012600 1.0 TRUE 150000000 5000 INSPIRE BEAT+ Integrated Assessment of Fish, Jan. 2020 <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The BEAT+ tool combines indicators from all four European marine regions, where available, by normalising all indicators to a standard scale. The outcome for fish indicators is shown in the map.</SPAN></P><P><SPAN /></P><P><SPAN>The analysis is primarily based on commercial fish as these have agreed targets defined on biomass and fishing mortality. These broadly reflect the Regional Sea Convention assessments of relatively good status in NE Atlantic, but not offshore in the Baltic and low status in the Western Mediterranean. The BEAT+ tool integrates data from normalised indicators to identify worst case status measures for different biodiversity components. The results are then linked to a standard gridE based Spatial Assessment Unit (SAU) which is used both for biodiversity and for pressures assessments (Andersen et al., 2014). These grid-based SAUs not only allow alignment of indicators for biodiversity and for pressures but provide a means for combining large assessment areas (e.g. for wide‐ranging species) with point data collected from biological surveys e.g. WFD monitoring.</SPAN></P><P><SPAN /></P><P><SPAN>BEAT+ tool works by calculating a Biological Quality Ratio (BQR) which is an aggregated score of indicator outcomes within a grid square. To allow objective comparison, the indicator outcomes are normalised to a scale of 0 to 1, with five status classes at equal intervals on that scale (from Bad starting at 0, Poor at 0.2, Medium at 0.4, Good at 0.6 and High at 0.8). By this means, indicators based on different biological criteria can be aggregated in a consistent way.</SPAN></P><P><SPAN /></P><P><SPAN>Report reference: https://www.eionet.europa.eu/etcs/etc-icm/products/biodiversity-in-europes-seas</SPAN></P></DIV></DIV></DIV> Status of fish per assessment grid cell in European marine regions. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>no limitations to public access</SPAN></P><P><SPAN /></P><P><SPAN>EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (http://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).</SPAN></P></DIV></DIV></DIV> geospatial data European The analysis is primarily based on commercial fish as these have agreed targets defined on biomass and fishing mortality. These broadly reflect the Regional Sea Convention assessments of relatively good status in NE Atlantic (97 %), but not offshore in the Baltic and low status in the Western Mediterranean. This study used a total of 230 stocks obtained from ICES and GFCM, plus 57 fish indicators from other sources. A recent paper (Froese et al., 2018) has used 341 fish stocks from ICES stock data which was analysed using the NEAT tool to generate a status value for fisheries for Descriptor D3 (Borja et al., 2019) which assessed most fisheries as in Moderate condition with those in the Central and Eastern Mediterranean (especially the Aegean Sea), and the Black Sea, as being poor condition. In this study, only the Barents Sea fisheries were considered in good condition. 20210831 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