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Seabed Habitats   
14 Jan 2020
EMODnet Seabed Habitats supports Blue carbon audit of Orkney waters (Scotland)

Marine Scotland Science (MSS) is the scientific division of the Marine Scotland Directorate, the branch of the devolved Scottish Government responsible for the marine and coastal environment.  The purpose of MSS is to provide expert scientific, economic and technical advice and services on issues relating the to the marine environment, to provide evidence to support policies and regulatory activities of the Scottish Government, to perform regulatory and enforcement activitie


Chemistry   
28 Oct 2020
EMODnet Chemistry infrastructure: the pillar of the HarmoNIA visualization tools

The conservation or the achievement of the Good Environmental Status (GES) is a priority for any environmental policy mechanism of both EU and non-EU countries. Coherent data management and quality control are fundamental whenever data from different sources are required as in the case of the assessment of environmental status at regional or sub-regional scale sensu Marine Strategy Framework Directive (MSFD).


EMODnet Chemistry contributed to EC IMPACT ASSESSMENT (Reducing Marine Litter: action on single use plastics and fishing gear)

EMODnet Chemistry contributed to the Commission Staff Working Document IMPACT ASSESSMENT (Reducing Marine Litter: action on single use plastics and fishing gear), SWD(2018) 254 final, with an analysis of plastics distribution coming from for 2 "metacategories", namely fishing gear and single use plastics. The study use the ICES DATRAS available data aggregated per MSFD regions and years.


Assessing progress towards an ecologically coherent MPA network in Secretary of State waters in 2016

JNCC produced a ‘Combined Map’ integrating data from field survey maps (mostly from the EUNIS habitat datasets collection) and the most recent version of the EMODnet Seabed Habitats broad-scale predictive habitat map available at that time. The Combined Map is a single flat layer without overlaps between habitats or component datasets, making it suitable and efficient for area calculations.


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