4f4c4942-4343-5764-6473-313231353634 English Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en 2024-05-30T14:09:23.633Z NRW 1.0 wel British National Grid (EPSG::27700) Flood mitigation woodland opportunities for Dyfi, Rhonndda and Tawe Area Trails Flood mitigation woodland opportunities for Dyfi, Rhonndda and Tawe Area Trails Cyfleoedd coetir lliniaru llifogydd 2014-06-01 NRW_DS121564 This is a derived spatial dataset created under and Natural Resources Wales (NRW) contract by Forest Research. The creation of this dataset was ommissioned by NRW for three Area Trails, Dyfi, Rhonndda and Tawe, as part of the work related to the Sustainable Management of Natural Resources. This dataset outlines opportunities for woodland creation to help mitigate flooding in the three catchments; Dyfi, Rhonndda and Tawe. This is a derived spatial dataset created under and Natural Resources Wales (NRW) contract by Forest Research. The creation of this dataset was ommissioned by NRW for three Area Trails, Dyfi, Rhonndda and Tawe, as part of the work related to the Sustainable Management of Natural Resources. This dataset outlines opportunities for woodland creation to help mitigate flooding in the three catchments; Dyfi, Rhonndda and Tawe. 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 Forest Research Natural Resources Wales (NRW) Maes-y-Ffynnon, Penrhosgarnedd, Bangor, Gwynedd, LL57 2DW, Wales enquiries@naturalresourceswales.gov.uk http://naturalresources.wales/?lang=en Area management/restriction/regulation zones and reporting units Area management/restriction/regulation zones and reporting units GEMET - INSPIRE themes, version 1.0 GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Water Quality (SMNR) Sea and Coast (SMNR) Natural Resources (incl. Features and Processes) (SMNR) Hydrological Processes (SMNR) Flooding (SMNR) Sustainable Management of Natural Resources (SMNR) Animals, Plants and Other Organisms (SMNR) Ecosystem (SMNR) Management Areas (SMNR) Freshwater and Wetlands (SMNR) Coastal Margins (SMNR) Physical Geography (physiography) (SMNR) Woodlands (SMNR) Soil and Land (SMNR) NRW SMNR Vocabulary NRW SMNR Vocabulary 2023-12-27 geonetwork.thesaurus.local.theme.converted_nrw-smnr-keywords This is a derived dataset, and therefore, is wholly owned by NRW. However, the licence restrictions of the underlying 3rd party data mean that NRW may NOT publish or disseminate this data. no limitations © CNC/NRW NRW does NOT grant permission to third parties to re-use or disseminate this dataset, due to the nature of the licence of the underlying data. English environment planningCadastre inlandWaters SeaVoX Vertical Co-ordinate Coverages SeaVoX Vertical Co-ordinate Coverages 2021-01-06 Wales (WLS) -5.777741 -2.608865 51.240829 53.513067 2014-01-01 2014-06-01 Geographic Information System ESRI 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 false The opportunity areas for woodland creation were identified from data associated with soils, geology, slope, aspect and existing vegetation cover, as well as areas of avoid based on specific sensitivities such as important existing habitats. Forest Research (the contractor) created the spatial derived dataset from number of third party datasets. The opportunity areas for woodland creation were identified from data associated with soils, geology, slope, aspect and existing vegetation cover, as well as areas of avoid based on specific sensitivities such as important existing habitats. Forest Research (the contractor) created the spatial derived dataset from number of third party datasets.