4f4c4942-4343-5764-6473-313631333231 English Natural Resources Wales Maes y Ffynnon Bangor LL57 2DW Wales opendata@cyfoethnaturiolcymru.gov.uk 2026-03-03T12:00:46.235Z NRW 1.0 wel British National Grid (EPSG:27700) Cwm Ivy National Vegetation Classification (NVC) Survey 2022 Cwm Ivy National Vegetation Classification (NVC) Survey 2022 To be added NVC Survey of Cwm Ivy Marsh, Llanmadoc, Gower 2024-01-25 NRW_DS161321 The report and this GIS dataset present the results of a National Vegetation Classification (NVC) survey carried out in 2022 on selected areas of saltmarsh habitat and transitional vegetation at Cwm Ivy Marsh, North Gower. Cwm Ivy is a saltmarsh creation site and the vegetation survey confirms the establishment of saltmarsh over the majority of the site. The report and this GIS dataset present the results of a National Vegetation Classification (NVC) survey carried out in 2022 on selected areas of saltmarsh habitat and transitional vegetation at Cwm Ivy Marsh, North Gower. Cwm Ivy is a saltmarsh creation site and the vegetation survey confirms the establishment of saltmarsh over the majority of the site. Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Wyndrush Wild Function performed by the responsible party 07870 515942 Full address of the organisation Post code info@wyndrushwild.co.uk https://wyndrushwild.co.uk/ecology-services/ Species distribution Bio-geographical regions Habitats and biotopes Protected sites Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme National Vegetation Classification (NVC) Cwm Ivy Marsh SSSI Burry Inlet saltmarsh (salt-marsh) (salt marsh) saltmarsh vegetation NRW Thesaurus 2025-01-08 geonetwork.thesaurus.local.theme.converted_nrw-keywords Habitat characterisation Habitat extent SeaDataNet Parameter Discovery Vocabulary 2024-06-19 geonetwork.thesaurus.external.theme.rdf+xml Access restrictions on this data have not been determined. It may contain sensitive information and therefore may be restricted under legislation. NRW may provide access to this dataset on request, however NRW may not release, publish or disseminate the data or derived products freely without further assessment. © CNC/NRW. Data may only be re-used externally under provision and in line with the terms of a NRW licence following an assessment of the data. Contains Natural Resources Wales information © Natural Resources Wales and Database Right. All rights Reserved. 2500 English biota -4.2587 -4.0444 51.5917 51.6804 ABERTAWE - SWANSEA SeaVoX Vertical Co-ordinate Coverages 2013-02-05 creation littoral 2022-08-01 2022-08-31 Sutton, M.D. 2023. NVC Survey of Cwm Ivy Marsh, Llanmadoc, Gower, NRW Evidence Report 727, 46pp, Natural Resources Wales, Bangor. Geographic Information System Unknown ESRI Feature Class Documents Text or Plaintext Unknown Documents: Digital versions of the contract report: Microsoft Word document Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 This dataset has not been assessed for conformance to the referenced INSPIRE regulation. false The vegetation was surveyed in August 2022 and the vegetation was assigned to NVC sub-communities and communities mapped onto aerial images. A field based judgement was carried out on community assignment supported by quadrat samples and target notes. The vegetation was surveyed in August 2022 and the vegetation was assigned to NVC sub-communities and communities mapped onto aerial images. A field based judgement was carried out on community assignment supported by quadrat samples and target notes.