This layer shows the current known extent of biogenic substrate in European waters. This product was first produced in 2021 with the aim to add a new class of substrate into the EUSeaMap substrate layer. This was required in order to classify the EUSeaMap broad-scale habitat map according to the 2019 version of the EUNIS habitat classification system, which includes a biogenic substrate category. This layer has been updated in 2023 to feed into an updated version of EUSeaMap. The geographic extent of this product was extended in 2023 to include jurisdictional waters (including continental shelf and claimed extended continental shelf) of EU Member States, the United Kingdom (UK) and Norway including areas in the Caribbean Sea.

This layer shows the current known extent and distribution of Coralligenous and other calcareous bioconcretions in the Mediterranean. The point and polygon layers were last updated in 2023 by EMODnet Seabed Habitats. The data product was first created in 2021 with the aim to produce a data product that would provide the best compilation of evidence for this habitat, as described in the "Action Plan for the protection of the coralligenous and other calcareous bio-concretions in the Mediterranean". This data product contains large data gaps and should be viewed as incomplete.

The aim of the National Program for Mapping Biodiversity – Coast is to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. The kelp was identified in the field using underwater video cameras and GPS and classified according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast. Kelp forests were defined as moderately dense and dense occurrences of kelp. Areas of kelp forest were modelled using different statistical methods (e.g. GAM, BRT, Maxent) based on point data collected along environmental gradients. These data include only the largest kelp forests.

The National Program for Mapping Biodiversity – Coast has had an aim to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. Maerl beds have not been systematically mapped, but maerl coverage has been recorded whenever maerl has been observed. Maerl has been identified in the field using underwater video cameras and GPS and coverage has been defines into one of four classes (1-single observations, 2-scarce occurrences, 3-Moderately dense, 4-Dense/dominating). For some data, coverage has not been defined, and maerl has only been recorded as a presence. The data has been collected in northern Norway.

The aim of the National Program for Mapping Biodiversity – Coast is to provide Norwegian managers and planners with maps of the distribution of marine habitats and key areas for species. Carbonate sand is composed of skeletal fragments from marine organisms, mostly shells, snails, barnacles, sea urchins and calcareous algae, accumulating during the past 10 000 years. Carbonate sand deposits with ongoing production and accumulation were identified through distribution modelling (using statistical methods such as GAM, BRT, Maxent) based on presence–absence data of carbonate sand deposits from grab samples (collected by the Geological Survey of Norway). Depth, wave exposure and ocean current speed were the most important predictors. Polygon areas were derived from the model according to the routine established in the Norwegian National Program for Mapping Biodiversity – Coast.

The project had the aim to map intertidal and subtidal habitats at the Sore Sunnmore area on the West coast of Norway. We collected data points in the intertidal and in the seaweed, kelp and red algae bed in the subtidal. These data were used to model the distribution of different habitats. Habitat data was analysed (using the R package mlogit for Multinomial Logit Models, CRAN - Package mlogit (r-project.org)) against modelled depth, seabed light, salinity, temperature and wave exposure. 30 habitats were modelled, which again was transformed into composite maps, identifying the most dominant habitat/species.

This is a compilation of OSPAR habitat polygon data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties.This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2022) was published in September 2022.

This is a compilation of OSPAR habitat point data for the northeast Atlantic submitted by OSPAR contracting parties. The compilation is coordinated by the UK's Joint Nature Conservation Committee, working with a representative from each of the OSPAR coastal contracting parties. This public dataset does not contain records relating to sensitive species (e.g. Ostrea edulis) in specific areas, or where data are restricted from public release by the owner's use limitations. This version (v2022) was published in September 2023.

The Global Mangrove Watch (GMW) was initiated as part of the JAXA Kyoto & Carbon Initiative in 2011. It is led by Aberystwyth University and solo Earth Observation, in collaboration with Wetlands International, the International Water Management Institute and the UN Environment World Conservation Monitoring Centre (U.K.). The African part is supported by DOB Ecology through the Mangrove Capital Africa project. The GMW aims to provide geospatial information about mangrove extent and changes to the Ramsar Convention, national wetland practitioners, decision makers and NGOs. It is part of the Ramsar Science and Technical Review Panel (STRP) work plan for 2016-2018 and a Pilot Project to the Ramsar Global Wetlands Observation System (GWOS), which is implemented under the GEO-Wetlands Initiative. The primary objective of the GMW has been to provide countries lacking a national mangrove monitoring system with first cut mangrove extent and change maps, to help safeguard against further mangrove forest loss and degradation. The GMW has generated a global baseline map of mangroves for 2010 using ALOS PALSAR and Landsat (optical) data, and changes from this baseline for epochs between 1996 and 2020 derived from JERS-1 SAR, ALOS PALSAR and ALOS-2 PALSAR-2. Annual maps are planned from 2018 and onwards.

A survey by JNCC in partnership with Cefas to Wight Barfleur Reef Special Area of Conservation. Located in the central English Channel, Wight Barfleur Reef is characterised by a series of well-defined exposed bedrock ridges, up to 5 m high, together with areas of flat, smooth mudstone and sandstone with overlying coarse sediment (gravels, cobbles and boulders), which in places forms stony reef, which has been designated to protect the EU Habitats Directive (1992) Annex I habitat feature Reefs.