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This dataset shows modelled spatial distributions of coralligenous outcrops and mäerl beds across the Mediterranean Sea. These bioconstructions are typical Mediterranean underwater seascapes, comprising coralline algal frameworks that grow in dim light conditions. They are the result of the building activities of algal and animal constructors, counterbalanced by physical, as well as biological, eroding processes. Because of their extent, biodiversity and production, coralligenous and mäerl habitats rank among the most important ecosystems in the Mediterranean Sea, and they are considered of great significance both for fisheries and carbon regulation.
Flores rock substrate from seismic subbottom profiles interpretation. (Bates, C.R., 2005. Sub-Bottom Profiling for Sand Resource Assessment, Flores Island, Azores. Team Internal Report 05-04)
This dataset is an output of the “Mediterranean Sensitive Habitats” project (MEDISEH). It shows under a raster form modelled spatial distributions of Posidonia oceanica across the Mediterranean Sea. Posidonia oceanica is endemic to the Mediterranean Sea, where it is the dominant seagrass, covering about 50,000 km2 of coastal to offshore sandy and rocky areas down to depths of about 45 m. P. oceanica is a protected species according to EU legislation (Habitat directive), the Bern and Barcelona Conventions and several national legislations. While its distribution is well documented along the European shores of the western Mediterranean Sea, limited information is available about the southern shore and the eastern Mediterranean Sea. In order to bridge this information gap, one of the goals of Task 1.3 of the MEDISEH project was to model P. oceanica distribution across the whole Mediterranean basin. A Random Forest (i.e. a Machine Learning technique) was “trained” on data from regions where information was available and then used to predict the probability of occurrence of P. oceanica where needed. The raster has a spatial resolution of 0.004166 decimal degrees, and the values are in the [0,1] interval (occurrence probabilities).
Cartography associated with the Management of the AMP and ZEC in Le Danois Bank. Results of research works with multibeam bathymetry, ROV´s, submarine photography, bottom reflectivity, seismic profiles and the granulometric and biological analyses of the samples gathered during the surveys.
This map covers both the intertidal zone and subtidal zones of the study sites. It is made from high resolution remote sensing data - both acoustic and optical - from various surveys carried out over the period 2008 to 2013 of various types: (i) multibeam echosounder (MBES), side scan sonar (SSS), RoxAnn acoustic ground discrimination system (AGDS), (ii) ortho-photography (the “Ortholittorale survey” from 2000), (iii) topographic and bathymetric lidar . It was complemented by (i) underwater video,(ii) sediment and biological grab samples, (iii) ground truth data from surveys in the tidal and infralittoral zone using GPS, annotations and photography.The habitat classification was a synthesis of the main habitat classifications, namely:Generic habitats from the Habitat Directive (EUR 27), Elementary habitats from the French Cahiers d’habitats, The Rebent classificationand EUNIS level 4 as much as possible. Map scale is in the range of 1:20000, with local improvements to 1:10000.
This map mostly results from the interpolation in gaps between surrounding maps. In places the rugosity derived from bathymetric data (soundings from hydrographic minutes and hydrographic lidar) enabled the interpreter to infer rocky seabed presence. In shallowest places aerial photography was also used to retrieve rocky seabed, distinguished from similar-looking Zostera beds owing to a historic Zostera bed inventory available to the project. The habitat classification was a synthesis of the main habitat classifications, namely: Generic habitats from the Habitat Directive (EUR 27), Elementary habitats from the French Cahiers d’habitats, The Rebent classificationand EUNIS level 4 as much as possible.
Mapis based on the interpretation of various types of data from a number of surveys carried out between 2011-2012 both in the intertidal and subtidal zones. Additionally the seabed « Carte G » from the French hydrographic survey (SHOM) was used in the interpretation process. In the tidal zone the identification was made by interpreting coastal ortho-photographs from BD Ortho (2005 et 2009) and digitising them on scale 1 : 2000ème with further qualification of the polygons based on ground truth data. For the subtidal zone, several data sources from 2011 were available: bathymetric lidar (with sounding density about 1pt*3m-2), side scan sonar (resolution of about 0.2m), underwater video, sediment and fauna samples collected with grabs and trawls. Addtionnally a single beam sounder was running at all times during the transects, which contributing to improve the depth DTM. In the outer rocky circalittoral zone, side scan sonar corridors were surveyed with a coverage of 30-50% depending on places. In the offshore deep circalittoral zone (known as La Grande vasière) where soft sediment is predominant, side scan sonar coverage was reduced to about 5-10%. In these latter two circalittoral zones, interpolation between sonar corridors was supported by SHOM « Carte G » (approx. scale 1:100000) along with a 100m resolution depth DTM. On rocky seabed, exposure at the seabed was described using kinetic energy from a combination of wave and current hydrodynamic models according to the methods described in: http://doi.org/10.13155/49975. Rocky substrate in intertidal and infralittoral zones was derived from the combined interpretation of both the topographic and bathymetric Lidar DTMs and aerial photographs, where permitted by water transparency. Various representations of the DTMs (slope, hillshade) helped delineate rocky outcrops with good reliability. Biological qualification of the substrate polygons was made through taxonomic analysis of benthos samples collected by MNHN in the framework of the project"Ecological assessment of Natura 2000 site - Roches de Penmarc’h".The final habitat classification was a synthesis of the main habitat classifications, namely: Generic habitats from the Habitat Directive (EUR 27), Elementary habitats from the French Cahiers d’habitats, The Rebent classificationand EUNIS level 4 as much as possible.
Outputs produced as part of the Outer Thames Estuary Regional Environmental Characterisation on behalf of the Marine Aggregate Levy Sustainability Fund. Data available to download from www.thamesrecgis.org.uk
This aim of the project was to provide integrated broadscale habitat maps for an extensive area within the central part of the Eastern English Channel in order to support the sustainable management of offshore resources. The maps integrated geological, geophysical and biological data and interpretations, including new surveys using high resolution geophysical systems, ground truthed with sampling and video. The immediate driver was the discovery of substantial aggregate resources in this area and the requirement to manage the sustainable development of this resource and minimise potential impacts. The results are available in GIS format and may be used by Government, Nature Conservation bodies and the aggregate industry to inform the planning process. It may also be a valuable tool for fisheries management. BGS, CEFAS and JNCC are partners in the project, and MES a sub-contractor.
Outputs produced as part of the South Coast Regional Environmental Characterisation on behalf of the Marine Aggregate Levy Sustainability Fund. Data available to download from www.marinealsf.org.uk/ Due to poor weather conditions, only this eastern area contains a full grid of multibeam echo sounder data. Therefore, for the confidence assessment, dataset was split in two. GB001090 contains the the lower confidence areas