4f4c4942-4343-5764-6473-313132353033 eng dataset Natural Resources Wales (NRW) 0300 065 3000 Maes-y-Ffynnon LL57 2DW enquiries@naturalresourceswales.gov.uk pointOfContact 2023-08-17 Gemini 2.2 urn:ogc:def:crs:EPSG::WGS84 OGP Habitat Mapping for Conservation and Management of the Southern Irish Sea (HABMAP) HABMAP extension project Mapio cynefinoedd ar gyfer gwarchod a rheoli de Mor Iwerddon (HABMAP) HABMAP Extension Project: Habitat Mapping for Conservation and Management of the Southern Irish Sea HABMAP confidence L3 L4 combined regions.LYR HABMAP L3 L4 combined regions.LYR HABMAP_CONFIDENCE_L3_L4_COMBINED_POINTS.LYR HABMAP_L3_L4_COMBINED_POINTS.LYR 2017-08-11 publication 2010-02-28 revision 112503 https://naturalresources.wales The HABMAP project was set up in response to the need for better spatial awareness of habitat distributions in the Southern Irish Sea. This work produced habitat maps of the seabed using novel predictive modelling techniques. This dataset is related to the predictive modelling only. The HABMAP Extension Project has built on the methods developed during the original project, and has repeated the modelling work using higher resolution / improved input datasets to help increase the accuracy of the predictive map outputs. The modelling work has also been extended to cover all of Welsh waters (previously cut-off at the Interreg funding boundary), notably including the Dee and Severn estuaries. The purpose of this data capture was to provide seabed habitat maps that could be used for con servation and management. Project outputs might be used in strategic planning, decision making for offshore developments, Marine Protected Area selection, sensitivity mapping and mapping essential fish habitats. However, because of the way the has been produced, and the fact that some data has been modelled and derived, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment without further supporting studies or evidence. The project boundaries were as follows: Southern Irish Sea- land-based boundaries include the whole Welsh coast to the English border on the east side of the Dee Estuary in the north, and the whole Severn Estuary and Bristol Channel coastline in the south, extending as far as Morte Point (east of Ifracombe) in England. The southern project boundary then extends offshore (skirting the northern tip of Lundy) across to a point approximate 60km west of Waterford on the Irish coast, including the whole SE Ireland coastline and offshore banks as well as parts of the Celtic Sea. The boundary then extends northwards along the Irish coast to a point approximately 40 km north of Dublin. Natural Resources Wales (NRW) 0300 065 3000 Maes-y-Ffynnon LL57 2DW enquiries@naturalresourceswales.gov.uk owner ABP Marine Environmental Research Ltd 023 80711840 Suite B, Waterside House SO14 2AQ enquiries@abpmer.co.uk owner British Geological Survey (BGS) 01159363143 British Geological Survey (BGS) Central Enquiries NG12 5GG enquiries@bgs.ac.uk owner Met Office 01392 885680 Met Office FitzRoy Road EX1 3PB enquiries@metoffice.gov.uk owner SeaZone 0870 013 0607 OX10 8BA info@SeaZone.com owner Various 01248 385500 Enquiries Unit Maes y Fynnon LL57 2DW enquiries@naturalresourceswales.gov.uk originator notPlanned Geographic Information System Habitats and biotopes GEMET - INSPIRE themes, version 1.0 2023-08-18 publication Natural habitats Marine science and oceanography Integrated Public Sector Vocabulary (IPSV) 2023-08-18 publication Predicted habitat maps and model outputs: © CNC/NRW Data may be re-used under the terms of the Open Government Licence providing it is done so, acknowledging both the source and NRW's copyright. It is the recipient's responsibility to ensure the data is fit for the intended purpose. Advice on interpretation should be sought where required. N.B Input data parameter maps: The datasets are wholly owned by third parties (BGS, Met Office, SeaZone, ABPmer). The datasets are restricted. NRW is not licenced to release this data. Those seeking a copy of this data must approach the third parties directly. otherRestrictions - Predicted habitat maps and model outputs: There are no access restrictions on this data. NRW may release, publish or disseminate it freely. - Input data parameter maps: The datasets are wholly owned by third parties (BGS, Met Office, SeaZone, ABPmer). Enquirers are advised to obtain a copy from the owner/originator directly. NRW may NOT publish or disseminate it in its entirety. eng imageryBaseMapsEarthCover oceans biota ISO3166 Countries 2023-08-18 publication Wales (WLS) -5.77774100 -2.60886500 51.24082900 53.51306700 2007-08-01 2014-06-01 The data used to create the model output is knows as Input data parameter maps. These have restricted access. The British Geological Society (BGS) derived seabed sediment map; Temperature data was provided by the Met Office; Bathymetry layer derived from Seazone hydrospatial dataset. Tidal and wave dataset were supplied by ABPmer (for DEFRA data layers project). There is a need to check the conditions of use before dissemination Natural Resources Wales (NRW) 0300 065 3000 Maes-y-Ffynnon LL57 2DW enquiries@naturalresourceswales.gov.uk distributor https://datamap.gov.wales/documents/2618 Download Data dataset The HABMAP project used a multi-parameter predictive modelling tool to develop seabed biotope maps for the Southern Irish Sea. Existing biological and physical datasets across the whole study area were collated within a Geographical Information System (GIS) and used to construct a rule-based biotope prediction model. Data were collated for the following physical parameters: bathymetry, sediment type, temperature, wave stress, tide stress, salinity and light attenuation. (NB Bedform data was not included in the extension project modelling work as it was found to be unreliable during the original project). These data were combined in GIS to produce a single map with many cells, each with a value for each of the physical parameters. Data was also collated for seab ed biotopes and these points were overlain onto the physical data layer, allowing the relationships between each biotope and the physical environment to be determined. Preference ranges of each physical parameter were then identified for each biotope, leading to the development of predictive rules that could identify other cells with the same physical data ranges. This meant that maps could be produced showing the recorded and predicted distributions for each biotope. A final map was produced which listed all recorded and predicted biotopes in each cell, in order of confidence.