{"datasetrec":{"DasID":6482,"Acronym":"HBS GEANS","StandardTitle":"ARMS observations of hard-bottom communities by Flanders Marine Institute, SeAnalytics, Nord University and Aarhus University","OrigTitle":null,"OrigTitleLangID":null,"OrigTitleLangCode":null,"OrigTitleLang":null,"OrigTitleLangNL":null,"VersionName":null,"ContactEmail":"matthias.obst@seanalytics.se","VersionDate":null,"VersionDay":null,"VersionMonth":null,"VersionYear":null,"SizeReference":null,"EngAbstract":"In GEANS, the ARMS network will be used in the assessment of Good Environmental Status as part of the European Marine Strategy Framework Directive (MSFD), mainly related to measures of benthic biodiversity (MSFD Descriptor 1), and measures of Non-Indigenous species (MSFD Descriptor 2). ARMS, as a standardized sampling technique, combined with today’s powerful molecular methods will enable the monitoring of marine communities over large areas, such as the North Sea, says Matthias Obst, the coordinator of the network.\nAs a pilot study within the GEANS project, genetic protocols will be developed and harmonized, which will be applied in the assessment of ecological status and changes in hard bottom benthic communities of near coastal environments.","EngDescr":null,"OrigAbstract":null,"OrigDescr":null,"Comments":null,"ReleaseDate":null,"ReleaseDate0":null,"OrigDescrLang":null,"EmbargoDate":null,"OrigDescrLangNL":null,"OrigLangCode":null,"OrigLangCodeExtended":null,"OrigLangID":null,"DescrCompFlag":0,"DescrTransFlag":0,"Citation":"Obst M., Stæhr P., Sundberg P., Reiss H., Daraghmeh N., Axberg A., Deneudt K., Hablutzel P., Mortelmans J., Delacauw S., Lagaisse R. (2019) Hard Bottom Substrate pilot GEANS","AccessConstraints":null,"UDate":"2023-07-13","CDate":"2020-05-19","CurrencyDate":null,"RevisionDate":null,"DateLastModified":{"date":"2026-06-06 01:41:58.123442","timezone_type":1,"timezone":"+02:00"},"CheckedFlag":1,"PublicFlag":1,"VlizCoreFlag":1,"MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"StatusID":1,"DasType":"Data","DasTypeID":1,"DasOrigin":"Research: field survey","Progress":"In Progress","AccessConstraint":"Attribution (CC BY)","AccConstrEN":"Attribution (CC BY)","AccConstrDisplay":"<a rel=\"license\" href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\"><img alt=\"Creative Commons License\" style=\"border:0px;height:15px;width:80px;vertical-align:middle;\" src=\"https://www.marinespecies.org/aphia/images/cc/by.png\" /></a> This dataset is licensed under a <a rel=\"license\" href=\"https://creativecommons.org/licenses/by/4.0/\" target=\"_blank\">Creative Commons Attribution 4.0 International License</a>.","License":"https://creativecommons.org/licenses/by/4.0/","AccConstrDescription":"This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.","Lineage":null,"AccConID":21},"dois":null,"spcols":null,"keywords":null,"parents":[{"DasID":6410,"Acronym":"GEANS Data","EngAbstract":"Sustainable use and management of marine resources is key for good ecosystem health. Monitoring for ecosystem health assessments is currently based on morphological species identification, which is time-consuming, labor-intensive and skills reliant. DNA-based tools promise cheaper, faster and more accurate methods, yet, different approaches between countries are used which hamper standard routine application. The Interreg NSR project GEANS, therefore aims to:\r\n\r\n1. Develop joint time- and cost-reducing genetic monitoring tools that feed into existing indicators to assess North Sea ecosystem health\r\n2. Implement standardized genetic tools and SOPs in routine biological assessments\r\n3. Develop a framework to apply and implement DNA-based tools in policy and transnational management of the North Sea Region.","License":null,"StandardTitle":"Genetic tools for Ecosystem health Assessment in the North Sea region","doi":null,"vlizDoi":null}],"children":null,"othrel":null,"othrelrev":null,"ownerships":[{"OrderNr":1,"Surname":"Deneudt","Firstname":"Klaas","Initials":"K.","PerPublicFlag":1,"AdrID":171088,"Email":"klaas.deneudt@vliz.be","InsPublicFlag":1,"Acronym":"VLIZ","OrigNameLangCode":"en","OrigNameLangID":15,"FullOrigName":"Flanders Marine Institute","InsOwnerCNT":5,"PersID":3362,"InsID":36,"FullInstitute":"Vlaams Instituut voor de Zee","RoleID":24,"Role":"Contact","OrigName":"Flanders Marine Institute","StandardName":"Vlaams Instituut voor de 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coverage","TaxtID":11310,"TaxTerm":"Animalia","AphiaID":2,"DutchTerm":"Dieren"}],"frameworks":null,"otherterms":null,"temporal":[{"DasDateID":5220,"StartYear":2019,"EndYear":2023,"StartDay":null,"EndDay":null,"StartDate":"2019-03-01","EndDate":"2023-05-01","DasDate":null,"Resolution":"Yearly","ResolutionNL":"Jaarlijks","Notes":null,"StartMonth0":3,"StartMonth":"March","StartMonthNL":"Maart","EndMonth0":5,"EndMonth":"May","EndMonthNL":"Mei","Progress":"In Progress","ProgressNL":"Gestart"}],"geographical":[{"GeoTerm":"North Sea","DasGeoID":10907,"DasGeoTerm":null,"DasID":6482,"GeotID":9476,"X":null,"Y":null,"MaxX":null,"MaxY":null,"StationName":null,"Precision":null,"CoordSystID":null,"GeoDatumID":null,"OrigCoordMinX":null,"OrigCoordMinY":null,"OrigCoordMaxX":null,"OrigCoordMaxY":null,"OrderNr":null,"Projection":null,"GeoDatum":null,"GeoObjectID":8542,"OrigGeoTerm":"North 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