Marine Phase 1 Intertidal Habitat Survey

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Provided by Natural Resources Wales

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Dataset information

Country of origin
Updated
Created
Available languages
English
Keywords
Coastal Margins (SMNR), seashore (intertidal) (littoral) (see also beaches, biotopes, Ecosystem (SMNR), Regulating Services (SMNR), Ecosystem Services (SMNR), Sea and Coast (SMNR), Sustainable Management of Natural Resources (SMNR), Animals, Plants and Other Organisms (SMNR), habitat mapping, target notes, marine (maritime), Marine (SMNR), Management Areas (SMNR), marine surveys (intertidal & subtidal surveys) (li, Natural Resources (Incl. Features and Processes) (, Phase 1 Survey (Phase I), Climate (SMNR)
Quality scoring

Dataset description

This is a dataset compiled of spatially-referenced survey data obtained from different intertidal communities (biotopes) in Wales. Maps include information on biotope location, species composition, access and photographs points. Additional information is recorded as target notes. Further site information, including site descriptions, geomorphology, uses, impacts, target notes and habitat information is held in an accompanying database Intertidal mapped data provides an integrated information resource for Local Authority structure and development plans on the coast and for the consideration of planning applications. The maps give important regional information about habitat and biotope distribution. They are used in the production and evaluation of Environmental Impact Assessments, assessment of sites as possible Sites of Special Scientific Interest (SSSI), as a basis for the development of sensitivity mapping, and as a baseline for developing monitoring of intertidal features in marine Special Areas of Conservation (SAC). Sites are mapped once and therefore are a 'snapshot' in time. All data has been subject to a validation process. The data available to the public under an Open Government Licence has some information redacted. An un-redacted version can be requested and may be provided under NRW licence.
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32
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2019
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