c6dd2386-09d6-46b3-be51-b8e70deefb85 English HELCOM Secretariat data@helcom.fi 2021-09-23T16:20:11 EPSG:3035 Abundance of salmon spawners and smolt - data (HOLAS 2) 2018-06-28 https://metadata.helcom.fi/geonetwork/srv/eng/catalog.search#/metadata/c6dd2386-09d6-46b3-be51-b8e70deefb85 This dataset represents the underlying data on core indicator Abundance of salmon spawners and smolt. The indicator evaluates the status of the abundance of salmon spawners and smolt in the Baltic Sea based on salmon smolt production in rivers flowing into the sea, also making use of additional supporting data on numbers of adult spawners. Determination of whether the threshold value that determines good status is achieved is based on a comparison of estimated smolt production with an estimated potential smolt production capacity. River-specific information provided by ICES WGBAST has been joined with river geometry by HELCOM Secretariat. Attribute information: "River_name" = Name of the river "A_unit" = HELCOM scale 2 Assessment unit "ICES_A_uni" = ICES assessment unit number "Assessment" = HELCOM scale 2 Assessment unit "ICES_Asses" = Number of ICES assessment unit "Estimates_" = Estimates of wild smolt production (*1000) median value "F90_proba" = 90% probability interval "Method_of_" = Method of estimation (1. Bayesian linear regression model, i.e. river model, 2. Sampling of smolts and estimate of total smot run size, 3. Estimate of smolt run from parr production by relation developed in the sae iver, 4. Estimate of smolt run from parr production by relation developed in another river, 5. Inference of smolt production from data derived from similar rivers in the region, 6. Count of spawners, 7. Estimate inferred from stocking of reared fish in the river, 8. Salmon catch in river, exploitation and survival estimate) "Data_sourc" = Data source "Data_origi" = Data originator (natonal instiute) "National_m" = National monitoing (YES/NO) "Use_restri" = Use restrictions (YES/NO) HELCOM Secretariat data@helcom.fi Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme GEMET 2018-08-16 geonetwork.thesaurus.external.theme.gemet-en MADS HOLAS2 2018 Core indicator Core indicator HOLAS2 Biodiversity Use constraints: Data can be used freely given that the source (HELCOM) is cited. Access constraints: No limitations on public access. English environment 8.186121 30.251959 53.605476 65.908764 2011-01-01 2016-12-31 ESRI Shapefile 1.0 https://maps.helcom.fi/website/MADS/download/?id=c6dd2386-09d6-46b3-be51-b8e70deefb85 WWW:LINK-1.0-http--link Download dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 The data on salmon smolt production, number of spawners and other data from national monitoring is brought by the national representatives to the annual meeting of the ICES Working Group for Baltic Sea Salmon and Sea Trout (WGBAST). The data is documented in the reports of the group and forms the basis on which the model for salmon smolt production is run. There is currently no common database. The stock data from Kattegat originates from the HELCOM SALAR project report (HELCOM 2011). River surveys include parr density estimates, smolt trapping, monitoring of spawning runs and river catches. Sea surveys include catch data, fishing effort data and catch composition estimates. Joint river and sea surveys include tagging data (tagging in rivers, recaptures from sea and river fishery). Monitoring data from each river are annually collated and processed so that updated estimates of smolt production and potential smolt production capacity (PSPC) are obtained. The procedure for obtaining the PSPC is described e.g. in ICES 2015. The Baltic salmon river stocks are divided into six evaluation areas based on the biological and genetic characteristics of the stocks and associated management objectives (see Assessment protocol figure 1). Stocks of a particular evaluation area are assumed to exhibit similar migration patterns and to be subjected to the same fisheries, experience the same exploitation rates and be affected by management in the same ways. In addition, the genetic variability between stocks of an evaluation area is smaller than the genetic variability between stocks of different areas.