Belmullet Seabed Habitats

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Score updated: 22/01/2018
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Environment

The EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat types from natural to artificial, from terrestrial to freshwater and marine. This data collection activity covers the EUNIS habitat classification of seabed habitat types in marine waters near Belmullet Co. Mayo along the north-west coast of Ireland. The data has been collected during the Irish National Seabed Survey (INSS) and INFOMAR seabed mapping programmes between 1999 and 2005. Data gathered via multibeam echosounder and seabed sampling data acquired during surveys were the primary sources of data used in the generation of this habitat map. The original sediment classes assigned to the data were translated to the harmonised European EUNIS habitat classification system as part of the MESH Atlantic project. Data collection and habitat map produced by the Advanced Mapping Services team within the Marine Institute. Data coverage 100% for the seabed surveyed area.

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Additional Information

Title Belmullet Seabed Habitats
Description

The EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat types from natural to artificial, from terrestrial to freshwater and marine. This data collection activity covers the EUNIS habitat classification of seabed habitat types in marine waters near Belmullet Co. Mayo along the north-west coast of Ireland. The data has been collected during the Irish National Seabed Survey (INSS) and INFOMAR seabed mapping programmes between 1999 and 2005. Data gathered via multibeam echosounder and seabed sampling data acquired during surveys were the primary sources of data used in the generation of this habitat map. The original sediment classes assigned to the data were translated to the harmonised European EUNIS habitat classification system as part of the MESH Atlantic project. Data collection and habitat map produced by the Advanced Mapping Services team within the Marine Institute. Data coverage 100% for the seabed surveyed area.

Contact Point name: Advanced Mapping Services
email: datarequests@marine.ie
phone: +353-91-387200
Keywords belmullet, biotope, classification, environment, environmental science, erris, geoscientificinformation, habitat, habitats and biotopes, hydrosphere, ireland, mayo, oceans, science, sea, sea bed, sediment, substrate
Theme Environment
Publisher Marine Institute
Issue Date 01 Jan 2010
Conforms To The INSPIRE Directive or INSPIRE lays down a general framework for a Spatial Data Infrastructure (SDI) for the purposes of European Community environmental policies and policies or activities which may have an impact on the environment.
Last Modification Date 12 Dec 2017
Publication Frequency unknown
Language eng
Landing Page None
Geographic Coverage North: 54.361125, South: 54.064818, East: -9.979280, West: -10.583758
Vertical Extent Domain name: sea level, Min value: -10, Max value: -145
Lineage Substrate classes were generated from the analysis of MBES data collected as part of the INSS and INFOMAR national seabed mapping programmes. Rock outcrops were digitised from shaded relief imagery. Supervised classification of the acoustic classes identified from backscatter imagery into sediment classes were done using sediment samples collated from the aforementioned seabed mapping programmes and fisheries surveys together with information on sediments obtained from Admiralty Charts. The substrate classes identified were translated to the EUNIS habitat classification system using additional information about biological zones (derived from bathymetric contours) as part of the MESH Atlantic project.
Temporal Extent From: 2010-01-01 00:00, To: 2010-12-31 23:45
Spatial Reference System https://epsg.io/4326
Spatial Resolution 25000