4f4c4942-4343-5764-6473-313234373730 English NRW_DS124799 Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en 2026-10-08T14:32:25.463Z NRW 1.0 wel utf8 British National Grid (EPSG::27700) CuRVe Condition SACs CuRVe Condition SACs Cyflwr ACAau CuRVe 2020-04-27 NRW_DS124770 http://naturalresources.wales/ This dataset provides a spatial representation of the condition of Special Areas of Conservation (SACs) in Wales, developed as part of the CuRVe project. SACs are among the most extensively monitored conservation designations in Wales due to European reporting requirements, providing one of the few sources of directly measured habitat condition data derived from field survey and assessment. The dataset shows the percentage of SAC features assessed as being in favourable condition within each area. Areas outside SAC boundaries have a NoData value. The dataset was produced to contribute to the Condition attribute within the CuRVe assessment framework. This dataset provides a spatial representation of the condition of Special Areas of Conservation (SACs) in Wales, developed as part of the CuRVe project. SACs are among the most extensively monitored conservation designations in Wales due to European reporting requirements, providing one of the few sources of directly measured habitat condition data derived from field survey and assessment. The dataset shows the percentage of SAC features assessed as being in favourable condition within each area. Areas outside SAC boundaries have a NoData value. The dataset was produced to contribute to the Condition attribute within the CuRVe assessment framework. 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 Environment Systems Ltd 8G Vefn Llan Science Park, Aberystwyth, Ceredigion, SY23 3AH, Wales enquiries@envsys.co.uk http://www.envsys.co.uk/ Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Land cover GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme ecological connectivity NRW Thesaurus 2026-08-27 geonetwork.thesaurus.local.theme.converted_nrw-keywords Biodiversity IPSV Subjects List 2020-11-18 geonetwork.thesaurus.external.theme.subjects There are no access restrictions on this data. NRW may release, publish or disseminate it freely. no limitations © 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. Contains Natural Resources Wales information © Natural Resources Wales and Database Right. All rights Reserved. Contains Ordnance Survey Data. Ordnance Survey Licence number AC0000849444. Crown Copyright and Database Right. Contains data supplied by Natural Environment Research Council. Open Government Licence 1000 English environment SeaVoX Vertical Co-ordinate Coverages 2021-01-06 Wales (WLS) -5.777741 -2.608865 51.240829 53.513067 2020-03-01 2020-04-27 Naumann, E.-K., Medcalf, K., 2020. Current relative value (CuRVe) map atlas for ecosystem resilience in Wales. NRW Natural Resources Wales report series, Report No: 415, 88pp, Publisher, Place of publication. Current Relative Value (CuRVe) Map Atlas for Ecosystem Resilience in Wales Geographic Information System Arcmap feature class 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 dataset was derived from NRW's SAC condition assessment records. To maximise spatial coverage, condition assessments from all available reporting rounds recorded within NRW's SAC condition spreadsheet were consolidated, including first-round, second-round, third-round and most recent assessments. For each SAC feature, the most recent available assessment was used. Where no assessment was available in the latest reporting round, the most recent preceding assessment was selected. As SACs are typically designated for multiple qualifying features that are not spatially recorded separately, feature-level assessments were summarised to site level. For each SAC, the percentage of assessed features recorded as being in favourable condition was calculated. Features without an available assessment were excluded from the calculation. The resulting site-level condition values were joined to the spatial SAC boundary dataset. Values were then summarised within reporting squares by calculating an area-weighted average of the favourable-condition percentages of all SACs intersecting each reporting square. Areas that do not contain SACs were assigned a NoData value. Full details of the methodology are provided in the associated project report (see Additional Information). The dataset was derived from NRW's SAC condition assessment records. To maximise spatial coverage, condition assessments from all available reporting rounds recorded within NRW's SAC condition spreadsheet were consolidated, including first-round, second-round, third-round and most recent assessments. For each SAC feature, the most recent available assessment was used. Where no assessment was available in the latest reporting round, the most recent preceding assessment was selected. As SACs are typically designated for multiple qualifying features that are not spatially recorded separately, feature-level assessments were summarised to site level. For each SAC, the percentage of assessed features recorded as being in favourable condition was calculated. Features without an available assessment were excluded from the calculation. The resulting site-level condition values were joined to the spatial SAC boundary dataset. Values were then summarised within reporting squares by calculating an area-weighted average of the favourable-condition percentages of all SACs intersecting each reporting square. Areas that do not contain SACs were assigned a NoData value. Full details of the methodology are provided in the associated project report (see Additional Information).