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NatureScot
L o a d i n g

NatureScot is the operating name for the body formally called Scottish Natural Heritage. It is an executive non-departmental public body of the Scottish Government responsible for the country's natural heritage, especially its natural, genetic and scenic diversity.

Available DatasetsShowing 147 of 147 results
    Title
    Updated
  • Carbon And Peatland 2016 map
    Scottish Natural Heritage (SNH) has prepared a consolidated spatial dataset of ‘carbon rich soil, deep peat and priority peatland habitats’ in Scotland derived from existing soil and vegetation data (James Hutton Institute1:25,000 and 1:250,000 scale soil data and Land Cover Scotland 1988. Used with the permission of The James Hutton Institute. All rights reserved). The resulting Carbon and Peatland map updated earlier work undertaken by SNH for the identification of natural heritage features of national importance available from Scotland’s soil website. The map is a high-level planning tool to promote consistency and clarity in the preparation of spatial frameworks by planning authorities. The map is a predictive tool which provides an indication of the likely presence of peat on each individually-mapped area, at a coarse scale. The types of peat shown on the map are carbon-rich soils, deep peat and priority peatland habitat.
    1
    Licence not specified
    about 2 years ago
  • Special Areas of Conservation
    SACs in terrestrial areas and marine areas out to 12 nautical miles are afforded protection through the Conservation (Natural Habitats, and c.) Regulations 1994 (as amended). Possible Special Areas of Conservation (pSAC) At Consultation stage may be subject to change prior to submission.
    1
    Licence not specified
    about 2 years ago
  • Country Parks
    Country parks make it easy to escape urban life for a day - or even just an afternoon. See which of Scotland’s country parks are a bus, cycle or walk away from you.Country parks can give you a hearty dose of the outdoors - and all of its benefits. Getting closer to nature is great for your health and well-being; whether you opt for a stroll or cycle, or some playtime and a picnic. Meet up with friends at your local country park or theirs, for a fun way to spend time together.Each country park is attractive, accessible and well designed. Family days out are all the easier with good visitor facilities close to hand. Most country parks have car parking and toilets, and some also have a visitor centre and cafe. Ranger services can tell you about the local wildlife and events and activities.More information
    1
    Licence not specified
    about 2 years ago
  • Wild Land Areas 2014
    Boundaries should be considered as ‘fuzzy’ rather than definitive to reflect the transitional nature of wild land. It is an update and replacement to the previously published Core Areas of Wild Land (CAWL) produced in 2013. Note that the areas have been renumbered sequentially and differ from those on the CAWL map. For more information visit https://www.nature.scot/professional-advice/landscape-change/landscape-policy-and-guidance/landscape-policy-wild-landComplete metadata record on spatialdata.gov.scot
    1
    Licence not specified
    about 2 years ago
  • National Nature Reserves
    Most reserves contain nationally or internationally important habitats and species, so the wildlife is managed very carefully. Visitor facilities are designed and managed to ensure that people can enjoy NNRs without harming or disturbing the wildlife that lives there.Scotland has 43 NNRs; these are special places, showcasing the very best of Scotland’s nature, and cover just under 2% of Scotland’s land area.SNH formally declares the National Nature Reserves Partnership’s recommended places under the National Parks and Access to the Countryside Act 1949 and the Wildlife and Countryside Act 1981.More information about the designation and background about NNRs can be found on the NatureScot website.Complete metadata record on spatialdata.gov.scot
    1
    Licence not specified
    about 2 years ago
  • Special Protection Areas
    SPAs are classified under the EC Birds Directive and together with SACs, form the Natura 2000 network. Proposed Special Protection Areas (pSPA) may be subject to change prior to classification.
    1
    Licence not specified
    about 2 years ago
  • Sites of Special Scientific Interest
    NatureScot designates SSSIs under the Nature Conservation (Scotland) Act 2004. SSSIs are protected by law. It is an offence for any person to intentionally or recklessly damage the protected natural features of an SSSI. SSSIs were first designated under the National Parks and Access to the Countryside Act 1949. The majority of these were later re-notified under the Wildlife and Countryside Act 1981. All 1981 Act SSSI designations are carried forward, and all new SSSI designations are now made, under the Nature Conservation (Scotland) Act 2004.More information about the designation and background planning work related to SSSIs can be found on the NatureScot website.Complete metadata record on spatialdata.gov.scot
    1
    Licence not specified
    about 2 years ago
  • Survey metadata
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Upland Habitat Impact Assessment surveys
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Nature Conservation Orders
    The Orders set out certain prohibited operations and the land to which they apply.
    1
    Licence not specified
    over 2 years ago
  • John Muir Way
    Route of the John Muir Way. Digitised to OS mapping and using GPS routes contributed by the Forestry Commission Scotland.
    1
    Licence not specified
    over 2 years ago
  • Deer Counts Deer Groups
    Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo
    1
    Licence not specified
    over 2 years ago
  • Deer Counts Deer Density
    Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo
    1
    Licence not specified
    over 2 years ago
  • HabMoS NVC No Overlaps No Mosaics
    This dataset provides a non-overlapping polygon layer containing a single dominant habitat code. This is derived from the NVC conversion data currently in the Habitat map of Scotland as of October 2023. This dataset does not include the Saltmarsh survey 2013, Sand Dune Vegetation survey 2012 or Coastal Vegetated Shingle survey.
    1
    Licence not specified
    over 2 years ago
  • agol pa feasability studies centroids objects
    Distribution of Feasibility Study projects site centroids. The centroids of the feasibility study can represent either the survey area or the equivalent location of the restoration footprint. The attribute table of the dataset contains information about the site ID, the year the feasibility study was completed and the status. Source: Peatland ACTION.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION - Feasibility Studies (centroid)
    Distribution of Feasibility Study projects site centroids. The centroids of the feasibility study can represent either the survey area or the equivalent location of the restoration footprint. The attribute table of the dataset contains information about the site ID, the year the feasibility study was completed and the status. Source: Peatland ACTION.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • Possible SACs at consultation stage
    SACs in Scotland are designated by Scottish Ministers under the EC Habitats Directive. They are areas which have been identified as best representing the range and variety within the European Union of habitats and (non-bird) species listed on Annexes I and II to the Directive. SACs in terrestrial areas and marine areas out to 12 nautical miles are afforded protection through the Conservation (Natural Habitats, and c.) Regulations 1994 (as amended). Possible Special Areas of Conservation (pSAC) At Consultation stage may be subject to change prior to submission.
    1
    Licence not specified
    over 2 years ago
  • Biogenetic Reserves
    The protected status must be adequate to ensure the conservation or management of the sites in the long term in accordance with fixed objectives.More information at the NatureScot website.Complete metadata record at spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Loch Lomond and Trossachs NP LCA
    Landscape Character Assessment (LCA) is a recognised technique which identifies areas with a distinct composition of inter-related natural, physical, cultural and historical characteristics. A National Programme of LCAs was initiated by SNH in 1994 covering 29 regional studies carried out with local authorities and other organisations. Although the broad methodology is similar for each study (i.e. carried out in accordance with published guidance), there is not complete consistency in the naming and describing of LCTs. The 2010 Loch Lomond and the Trossachs (LLTT) LCA dataset sits alongside the National dataset, and is captured at a higher resolution. This dataset should be used in conjunction with the LLTT LCA 2010 Report.
    1
    Licence not specified
    over 2 years ago
  • GeMS - Scottish Priority Marine Features
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Flood levels and High Emission Scenario SLR
    The Coastal Flood Boundary conditions for the UK: Update 2018 (https://assets.publishing.service.gov.uk/media/60365303e90e0740ac3ea1b5/Coastal_flood_boundary_conditions_for_the_UK_2018_update_-_user_guide.pdf). This data has been appended by UKCP18 RCP8.5 95th percentile Sea Level Rise levels per decade (2020-2100). This data was compiled as part of the second phase of the Dynamic Coast project.
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Future Erosion 2050 High Emissions Scenario
    Anticipated erosional areas, between the current 2020 and anticipated 2050 Mean High Water Spring tide lines, based on a High Emissions Scenario sea level rise projection (RCP8.5, 95 percentile) and 'do nothing' coastal management approach. Shoreline retreat is limited by underlying physical susceptibility model (the UPSM of Fitton et al., 2017) and up to 25m of erosion is premitted at known artificial coastal defences. Dataset includes Erosion Area (areas seawards of the 2050 projected position of Mean High Water Springs), Erosion Influence (a 10m landward buffer of the projected position of 2050 MHWS) and Erosion Vicinity (a further 50m landward buffer on Erosion Influence). This data contains the intersect values for society's assets (lengths of roads (km), areas of designates sites (ha)). Further explanation available within Technical Summary WS2, via www.DynamicCoast.com/reports.Please note, there are two versions of this data, one 'Full' version, for Public Sector organisations in support of statutory work. This dataset includes the number of residential and non-residential properties affected within each erosion polygon, alongside other asset types. The 'public' version exlcudes these two fields.
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    Licence not specified
    over 2 years ago
  • DynamicCoast Future Erosion 2100 High Emissions Scenario
    Anticipated erosional areas, between the 2020 and anticipated 2100 Mean High Water Spring tide lines, based on a High Emissions Scenario sea level rise projection (RCP8.5, 95 percentile) and 'do nothing' coastal management approach. Shoreline retreat is limited by underlying physical susceptibility model (the UPSM of Fitton et al., 2017) and up to 25m of erosion is premitted at known artificial coastal defences. Dataset includes Erosion Area (areas seawards of the 2050 projected position of Mean High Water Springs), Erosion Influence (a 10m landward buffer of the projected position of 2050 MHWS) and Erosion Vicinity (a further 50m landward buffer on Erosion Influence). This data contains the intersect values for society's assets (lengths of roads (km), areas of designates sites (ha)). Further explanation available within Technical Summary WS2, via www.DynamicCoast.com/reports.
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Future MHWS for High Emissions Scenario
    Anticipated positions of Mean High Water Springs per decade, based on a High Emissions Scenario sea level rise projection (RCP8.5, 95thpercentile) and 'do nothing' coastal management approach. Shoreline retreat is limited by underlying physical susceptibility model (the UPSM of Fitton et al., 2017) and up to 25m of erosion is premitted at known artificial coastal defences. Further explanation available within Technical Summary WS2, via www.DynamicCoast.com/reports.
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast MHWS Modern
    Mean High Water Springs tide line extracted from high resolution Digital Elevation Models, typically derived from airborne LiDAR datasets. Date of survey varies spatially, query line for source information. Data sourced from https://remotesensingdata.gov.scot/ and partner data (NatureScot, Historic Environment Scotland etc).
    1
    Licence not specified
    over 2 years ago
  • Riparian Woodland search zone
    Riparian woodland in Scotland identified using a combination of existing open datasets. Search area is 20m either side of water courses. Includes coniferous and broadleaved woodland, native and non-native. Woodland datasets include Native Woodland Survey of Scotland, Smallwoods dataset from Forest Research, National Forest Inventory. Additional areas are included where these had been highlighted using height data and manually checked in aerial imagery. Minimum patch size is 2000m2.Search area is 20m either side of water courses. Underlying water courses are combination of OS open rivers, Vector Map District, SEPA open rivers, OpenStreetMap water courses. All are line datasets apart from Vector Map District which is a polygon dataset. Therefore the width of wider rivers has been taken into account. 
    1
    Licence not specified
    over 2 years ago
  • Geological Conservation Review sites
    The majority of GCR sites, therefore, now have statutory protection through designation as notified features in SSSIs. In these cases the GCR site boundary indicates the extent of the Earth science interest within the SSSI. Some GCR sites, however, remain unnotified and are known as unnotified GCR sites. National Park Authorities and some Local Authorities treat these as candidate SSSIs and afford them the same protection as SSSIs. Some unnotified GCR sites are also Local Geodiversity Sites (LGS), and as such they are afforded levels of protection appropriate to locally important sites (though they are, themselves, considered to be of national or international importance).The remaining unnotified GCR sites have no statutory protection, although they are considered to be sites of national or international importance. Initially developed between 1977 and 1990, the GCR network is periodically updated and this dataset is subject to change. Boundaries of GCR sites are often not co-incident with SSSIs.More information: https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/local-designations/geological-conservation-review-sites
    1
    Licence not specified
    over 2 years ago
  • Wildcat Priority Areas
    Boundaries of areas to be targeted for wildcat conservation. Areas selected based on results of wildcat camera trapping surveys performed by WildCru, over the winter of 2013 - 2014. Boundaries of proposed areas were created by Nick Littlewood, at James Hutton Institute, using natural watersheds and water features as geographic limits. See Commissioned Report 768 for how the areas were derived.Click here for the full metadata record
    1
    Licence not specified
    over 2 years ago
  • Oceanic Bryophytes Hydro Planning Database
    The aim of the database is therefore to help users take account of Europe's most important watercourses for these species before selecting sites for potential hydro development. Individual watercourses, or sites that contain multiple watercourses, have been assessed for either their known (categories A-C) or potential (categories D-E) importance. The category descriptions provide clear guidance as to whether a watercourse is known to hold bryophytes or likely to be of low bryological importance, and whether further survey is recommended. This assessment only considers the impact of water abstraction on water-loving oceanic bryophytes and additional consideration should be given to direct impacts of construction on important bryophyte habitats (e.g. springs/flushes, ancient woodland, deadwood, bogs).View the interactive map on the NatureScot webiste: https://www.nature.scot/professional-advice/planning-and-development/planning-and-development-advice/renewable-energy/hydroelectric-power/hydroelectric-development-planning
    1
    Licence not specified
    over 2 years ago
  • Standing Waters Database
    This involves identifying and estimating the abundance of emergent, submerged, floating leaved, and free-floating macrophytes that grow in or near the water. The results of these surveys are held in the Standing Waters Database which is available to view on the SNH website. (https://www.nature.scot/information-library-data-and-research/snhi-data-services/standing-waters-database).View the database application here: https://gateway.snh.gov.uk/pls/apex_cagdb2/f?p=111
    1
    Licence not specified
    over 2 years ago
  • Habitat Map of Scotland
    These data provide an initial release of combined NVC conversion data with data from the Saltmarsh survey, Sand Dune survey, Coastal Vegetated Shingle survey and extracts from the Native Woodland Survey. National Forest Inventory / SG IACS / HES Historic Land use AssessmentThe process of reclassifying NVC to EUNIS/Annex I varies depending on the source of the data.The NVC conversion data and the Sand Dune data have initially been converted to Annex I on a site by site basis. Annex I values have then been mapped to EUNIS at a national level. None Annex I qualifying habitats have now been reclassified to EUNIS also.The Saltmarsh data have been mapped to both EUNIS and Annex I directly at site level. The Coastal Vegetated Shingle survey was conducted using Annex I. Only 2 Annex I habitats were mapped. These were later given EUNIS codes, one of which was a composite code. It is not possible to determine the component EUNIS types for this composite code.Data from the Native Woodland survey has been extracted on the basis of NVC types mapping to specific Annex I habitats. This has been augmented by SNH specialist staff.The data do not contain mosaics, geometries have been duplicated. Each habitat has:a geometry,a habitat proportion value that represents the area of the polygon covered by that habitat, an area figure in hectares (calculated from the proportion and the polygon geometry). a mosaic field indicates if the habitat is part of a mosaic a habitat number field indicates the number of habitats occurring within a specific polygona habmos source indicating a broad grouping of data processed in a particular waya site or survey id indicating which site or survey from the wider series is referenceda survey type field that indicates the classification system used in the original surveya survey date which gives the year in which the data was collecteda data owner - indicating where the data IPR residesHabitat_code – This can be a EUNIS code from EUNIS , the European Nature Information System or a new EUNIS unit as created in the SNH Manual of terrestrial EUNIS habitats in Scotland (https://www.nature.scot/snh-commissioned-report-766-manual-terrestrial-eunis-habitats-scotland)New EUNIS units can be new sub-type that relates to an Annex I habitat typenew sub-type that does not relate to an Annex I habitat typecomposite unit that includes a number of EUNIS types, all of which translate to the same Annex I habitat type.Habitat_name – For EUNIS codes including EUNIS composite types that match Annex I habitats this is the Annex I habitat code and name as listed in Appendix1.For EUNIS types that do not equal an Annex I habitat this is the EUNIS name as listed in the SNH EUNIS manual correspondence tables (see Document downloads under https://www.nature.scot/snh-commissioned-report-766-manual-terrestrial-eunis-habitats-scotland)EUNIS_COMPONENT - This field is used to list the EUNIS type if Habitat_code is a composite unit.COMPONENT_NAME - The name of the EUNIS type.Where contributing data has been surveyed at Annex I level or converted to Annex I and then to EUNIS, the HABITAT_CODE field may contain EUNIS and EUNIS composite codes, but there will not be any values in the EUNIS_COMPONENTS or COMPONENT_NAME fields as it is not possible to derive component codes from the Annex I habitat or EUNIS composite.
    1
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    over 2 years ago
  • HabMoS - Mountain Woodland 2023 - Wild, relict or remnant
    NatureScot has commissioned this new dataset of mountain woodland locations across Scotland; to be used to inform landscape scale restoration, 30x30 goals, Nature Networks, UK and European Reporting and Area based casework, and training data for habitat mapping. A total of 18,538 point records have been compiled across 24 tree and shrub taxa that feature in mountain woodland habitats in Scotland. From these records, there are a total of 324 that qualify for Annex 1 H4080, and a total of 210 that qualify for Annex 1 H5130. However, some geographical areas have had higher recording effort than others. It is recommended that this new dataset is updated every three years, or annually for the Nationally Rare/Scarce arctic-alpine willows and scrub specialist species. The BSBI DDb will be the primary source of information for updates.This dataset contains the following fields:UID: Unique IdentifierTAXON: Latin name, as given in Stace (2019)COMMON_NAME: The common name used in the Scottish contextGROUP: Mountain woodland species; classed into the following categories:Arctic-alpine specialist willows: Nationally Rare or Scarce component species of Sub-Arctic Salix scrub/Montane willow scrub (H480). These records cover any altitudeSub-montane willows: Can form a secondary component of Sub-Arctic Salix scrub/Montane willow scrub (H4080), usually at the lower end of the altitudinal range of the habitat. These records are at altitudes ≥ 400mScrub specialists: Nationally Scarce taxa which feature in upland scrub habitats. These records cover any altitudeSecondary montane/sub-montane trees or shrubs: Taxa which feature in lower altitude woodland or scrub habitats, but can grow at sub-montane and montane altitudes. These records are at altitudes ≥ 400mJuniper: A key component of H5130 habitat. These records are at altitudes ≥ 400m, so only apply to the habitat where it is found in the uplandsMountain broadleaves: Occurrences of Birch or Rowan at higher altitudes. These records are at altitudes ≥ 600mTreeline scrub: Records retained from the OMSD (Original Montane Scrub Database)RECORDER: Person(s) who made the record (if known)PLACENAME: Named location of the recordEASTING: 6-figure British National Grid Easting, including the 100km x 100km prefixNORTHING: 6-figure British National Grid Northing, including the 100km x 100km prefixPRECISION: Record precision (1km, 100m, 10m or 1m)DATE: When the record was madeHABITAT_DIRECTIVE_H4080: Annex 1 Habitat assigned to either “H4080” or “Potential H4080” using the definitions in Table 1 (if applicable)HABITAT_DIRECTIVE_H5130: Annex 1 Habitat assigned to either “H5130” or “Potential H5130” using the definitions in Table 2 (if applicable)COMMENTS: Further notes about the record, if given by the recorder(s)ADUNDANCE: Notes on the abundance of plants, if given by the recorder(s)SOURCE: Where the record was obtained fromURL: Link to the record on the BSBI DDb (if applicable)Complete metadata document on spatialdata.gov.scot.
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    over 2 years ago
  • HabMoS - Mountain Woodland 2023 - Restoration Sites
    NatureScot has commissioned a new dataset of mountain woodland locations across Scotland; to be used to inform landscape scale restoration, 30x30 goals, Nature Networks, UK and European Reporting and Area based casework, and training data for habitat mapping. A total of 128 mountain woodland restoration sites have been compiled across Scotland, covering a total gross area of 10,844 ha. There are a total of 57 sites which contain a component targeting Annex 1 Habitat H4080, 4 sites which contain a component targeting H5130, and 8 sites which target both. Contributing organisations have participated in a purely voluntary capacity and the dataset will therefore not be an absolute list of all restoration work across Scotland. It is recommended that this new dataset is updated every three to five years.This dataset contains the following fields:UID: Unique IdentifierORG: Who was/is responsible for the restoration projectLOCATION: Name of the geographical areaSITE_NAME: Unique name for the restoration siteSTATUS: Current/Proposed/Unknown i.e. an older site which may not have been recently assessedAREA: Area of the polygon (in ha), or total area combined if the site is composed of multiple polygonsFENCED: Yes/NoPOLY_FENCE: Does the polygon show the location of a fenceline? - Yes - No (within a larger fenced area): the fenced area is larger than the given polygon - No (within a larger proposed fenced area): the proposed fenced area is larger than the given polygon - No (smaller fenced areas are within this larger polygon): the polygon given is the larger restoration project area which contains several smaller unmapped fenced sites - N/A: Area is not fencedFENCE_NOTE: Further details on fencing, such as the date installed and the type of fencingMANAGEMENT: Fencing/planting/regeneration/low interventionTARGET_HAB: General description of the intended habitat as an outcome of restoration management at the siteEUNIS_2017: Intended habitat type classed using the EUNIS habitat classification given by Strachan (2017)EUNIS_2021: Intended habitat type classed using the EUNIS habitat classification revised in 2021NVC: Intended habitat type classed using NVC codes given by Averis et al. (2004)UK_BAP: Intended habitat type classed using UK Biodiversity Action Plant habitatsANNEX1: Intended habitat type classed using EU Habitats Directive Annex 1 definitions (if applicable)DATE_PLANT: Date or date range when tree planting took place (if applicable)TARGET_SP: Tree or shrub species featuring in the restoration project, either by planting and/or as the focus of natural regenerationINFO_PLANT: Details on the numbers of trees planted per species (if known).SPECIALIST_SP: List of specialist montane scrub species included in the project (if applicable)PRO_MS_SP: The provenance of planted arctic-alpine willows (if applicable)NOTES_MAN: Any other key management details of the restoration project not already given in previous columns Complete metadata document on spatialdata.gov.scot.
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  • Demonstration and Research MPA
    Demonstration and Research Marine Protected Areas (MPAs) can be designated by Scottish Ministers under the Marine (Scotland) Act 2010. The boundaries of the Possible Demonstration and Research MPAs provided in this dataset represent the recommendation within the 12 nautical mile Territorial Sea limit. The following URL provides a link to further information on the Possible Demonstration and Research MPAs: www.gov.scot/Topics/marine/marine-environment/mpanetwork/DandRMPAsFor information regarding the wider MPA network in Scotland’s seas and protected areas management see: www.gov.scot/Topics/marine/marine-environment/mpanetwork,www.snh.gov.uk/mpasand www.jncc.defra.gov.uk/scottishmpas
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    over 2 years ago
  • Species-rich Grassland Data Viewer - Cairngorms National Park - Web Map
    This map presents data on the location, extent, quality, and condition of species-rich grassland (SRG) sites in the Cairngorms National Park (CNP) -  outputs from a joint project between NatureScot and the Cairngorms National Park Authority.Coverage includes the Spey, Avon, Livet and Dee river catchments. Upon opening the map, an overview of species-rich grassland locations is provided. Zoom in, pan around, and click on individual features, to explore the underlying data in more detail (some layers are only visible when the map is zoomed in).The map contains data from two sources:(i) CNP grassland mapping 2020 to 2022 - covering the Livet, Avon and DeePatches of unimproved/semi-improved grassland were identified and delineated by analysing high-resolution aerial photography. This 'search map' of polygons was then visited in the field by surveyors between 2020 and 2022 who recorded vegetation types using the National Vegetation Classification (NVC), and assessed the presence (or not) of species-rich grassland (SRG). Of 4930 polygons surveyed in total, 1482 (30%) were found to contain at least some species-rich grassland.The survey polygon layer in this map provides data on the NVC communities recorded in the field and corresponding SRG and non-SRG habitats. They are symbolised to indicate the presence (green) or absence (purple) of SRG.The SRG attribute points layer (red markers) provides detailed information (plus photo attachments) illustrating the quality and condition of SRG stands encountered during the survey.(ii) Strathspey inbye survey 2006/2007 - covering the SpeyA selection of fields in Badenoch and Strathspey were surveyed in 2006 and 2007. Vegetation types were recorded using the National Vegetation Classification (NVC). Of 1877 fields surveyed, 815 were found to contain species-rich grassland (SRG) communities.The resulting GIS datasets were reassessed in 2020/2021 using the most recent available aerial photography to establish the likelihood that SRG was still present and identify potential causes of loss or change.The survey polygon (540 survey locations with field boundaries) and survey point (275 survey locations with no field boundaries) layers in this map provide data on the NVC communities and corresponding SRG and non-SRG habitats recorded during the original 2006/2007 field survey. They are symbolised to indicate the results of the aerial photo reassessment - likelihood that SRG is still present: high/medium/low (dark to light orange).
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  • CSGN 2011 Integrated Habitat Networks
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
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  • Dwarf shrub and heath
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
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  • HIA attribute dictionary
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
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  • Landscape Character Assessment
    The first national programme of LCAs was initiated by SNH in the 1990s, and produced 29 reports with relevant local authorities and other organisations. This dataset has been reviewed to take account of intervening technical improvements in website mapping to produce a revised national suite of landscape character types. This is at 1:50,000 scale and has been created in collaboration and consultation with FCS and HES as well as all local authorities.
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    over 2 years ago
  • EEA EUrosion 2010
    This dataset gives information about the character of the Scottish coastline and its sensitivity to erosion. The dataset is meant to be used on a regional to national level.The dataset is an update of the 2004 EUrosion dataset which characterised the coastal type (rock coast, soft coast, harbour etc) and any any known changes (erosion, stability or accretion). To this unitary authority information and information on designated sites have been added using overlay analysis. The data was generated in 2010.
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  • CSGN Habitat Networks and Opportunity Areas
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
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  • SRG Badenoch-Strathspey Inbye Survey 2006-2007 (extract) - Polygons
    A selection of 1351 fields from the IACS (Integrated Administration and Control System) dataset, classified as either permanent pasture or rough grazing, and <50 ha in size, were visited by surveyors in Badenoch and Strathspey in 2006 and 2007. The vegetation communities and their relative percentage cover were recorded using the National Vegetation Classification (NVC). Additional fields (not included in the original IACS extract) deemed to contain grassland communities of interest were also opportunistically surveyed, giving a total of 1877 fields. 815 of the fields were found to contain species-rich grassland (SRG) communities. 541 of them had field boundaries. 274 had no field boundary and were mapped as central point locations only. The GIS datasets were re-assessed in 2020/2021 using the most recent available aerial photography to establish the likelihood that species-rich grassland was still present in the fields and identify potential causes of change or loss. This polygon dataset provides a generalised representation of the original IACS field boundaries for 540 of the fields from the 2006 & 2007 field survey found to contain SRG, plus results of the 2020/2021 aerial photo assessment, and contains the following fields: NVC_1 to NVC_19 – NVC communities recorded in field (from 2006 & 2007 survey); COVER_1 to COVER_19 – relative % cover of each NVC community in field; NVC_LIST – list of all NVC communities in field and % cover; SRG_NVC – species-rich grassland NVC communities in field; SRG_COVER – total % cover of species-rich grassland in field; POLY_HA – area of field (in hectares); SRG_HA – area (in hectares) of species-rich grassland in field; SRG_LIKELI – likelihood that SRG is still present in the field (low, medium, high) following aerial photography assessment; LOSS_CAUSE – cause of SRG loss, if apparent, from pre-defined categories (development, amenity and recreation, plantation, under management, livestock damage, agricultural improvement, other, uncertain); SRG_COMMENT – comment with additional information relating to perceived change/loss of SRG in the field and the extent of loss; IMAGERY_YR – most recent year of aerial imagery against which field was assessed; GRIDREF – grid reference of center point;DATASET – source dataset from which point feature was derived;POLY_ID – unique identifier.
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  • Species-rich Grassland Data Viewer - Cairngorms National Park
    This map presents data on the location, extent, quality, and condition of species-rich grassland (SRG) sites in the Cairngorms National Park (CNP) -  outputs from a joint project between NatureScot and the Cairngorms National Park Authority.Coverage includes the Spey, Avon, Livet and Dee river catchments. Upon opening the map, an overview of species-rich grassland locations is provided. Zoom in, pan around, and click on individual features, to explore the underlying data in more detail (some layers are only visible when the map is zoomed in).The map contains data from two sources:(i) CNP grassland mapping 2020 to 2022 - covering the Livet, Avon and DeePatches of unimproved/semi-improved grassland were identified and delineated by analysing high-resolution aerial photography. This 'search map' of polygons was then visited in the field by surveyors between 2020 and 2022 who recorded vegetation types using the National Vegetation Classification (NVC), and assessed the presence (or not) of species-rich grassland (SRG). Of 4930 polygons surveyed in total, 1482 (30%) were found to contain at least some species-rich grassland.The survey polygon layer in this map provides data on the NVC communities recorded in the field and corresponding SRG and non-SRG habitats. They are symbolised to indicate the presence (green) or absence (purple) of SRG.The SRG attribute points layer (red markers) provides detailed information (plus photo attachments) illustrating the quality and condition of SRG stands encountered during the survey.(ii) Strathspey inbye survey 2006/2007 - covering the SpeyA selection of fields in Badenoch and Strathspey were surveyed in 2006 and 2007. Vegetation types were recorded using the National Vegetation Classification (NVC). Of 1877 fields surveyed, 815 were found to contain species-rich grassland (SRG) communities.The resulting GIS datasets were reassessed in 2020/2021 using the most recent available aerial photography to establish the likelihood that SRG was still present and identify potential causes of loss or change.The survey polygon (540 survey locations with field boundaries) and survey point (275 survey locations with no field boundaries) layers in this map provide data on the NVC communities and corresponding SRG and non-SRG habitats recorded during the original 2006/2007 field survey. They are symbolised to indicate the results of the aerial photo reassessment - likelihood that SRG is still present: high/medium/low (dark to light orange).Complete project metadata on spatialdata.gov.scot.
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  • Deer Counts Deer Groups
    Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo
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  • Deer Count Index
    Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo
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    over 2 years ago
  • Deer Counts Deer Density
    Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo
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    over 2 years ago
  • Deer Count Index
    Deer group locations and sizes are used in assessing deer populations living on the ‘open range’. ‘Open range’ generally means open areas of habitat used mainly by red deer (for example, heather moorland). From the outset it is important to be clear that although the terms ‘count’ or ‘census’ are used, open range counting enables a population estimate to be made, but with associated error margins. Research has shown that, normally, estimates will vary by between 5 and 16%. In other words if you count 415 deer then the population estimate is at best between 348 and 481 (or at very best between 394 and 435). Open range population counts (and their resulting estimates) are therefore most likely to be useful for setting broad targets or giving an index of deer numbers as opposed to very precise population models. They are also useful for indicating trends in a series of counts.Count information can be obtained by joining table DEER_COUNT_INDEX based on COUNT_ID columns. Both Helicopter and ground counts are included in the data. The majority of the data were collected in ‘white ground’ conditions where the contrast between deer and the background of snow is maximised enabling deer to be more easily spotted. Summer counts of 'Priority' sites are also included where sites have been counted more intensively.Attribute NameItem NameDescriptionDIGI_CALVSDigital CalvesDIGI = counted from a digital photoSUM_STAGSSUM StagsDIGI + VIS combinedSUM_HINDSSUMHindsDIGI + VIS combinedSUM_CALVESSUM CalvesDIGI + VIS combinedSUM_UNCLSUMUnclassifiedDIGI + VIS combinedUNCL = unclassified – so generally hinds and calves combined.SUM_TOTALSUMTotalOverall total for that group (not necessarily for the 1km2 as there may be 3 or 4 groups in the 1km2 at that point in time.COUNT_IDCOUNT_IDProvides link to accompanying csv file.DIGI_HINDSDigital HindsDIGI = counted from a digital photoVIS_TOTALVisual TotalVIS = counted visually during the countDIGI_UNCLDigital UnclassifiedDIGI = counted from a digital photo UNCL = unclassified – so generally hinds and calves combined.DIGI_TOTALDigital TotalDIGI = counted from a digital photoVIS_STAGVisual StagVIS = counted visually during the countVIS_HINDSVisual HindsVIS = counted visually during the countVIS_CALVSVisual CalvesVIS = counted visually during the countVIS_UNCLVisual UnclassifiedVIS = counted visually during the count UNCL = unclassified – so generally hinds and calves combined.DIGI_STAGDigital StagDIGI = counted from a digital photo
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  • Peatland ACTION completed restoration centroids
    Completed restoration project site centroids in Peatland ACTION are locations on a map that represent the geographic centre of peatland restoration projects that have been completed. They provide a visual representation of the distribution of completed peatland restoration projects across Scotland. Users can interact with these site centroids to view more detailed information about individual projects, such as financial year end or the size of the project area in hectares.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
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  • Ancient Woodland Inventory
    A more sophisticated classification was developed for woodlands in Scotland due to the nature of the available historical sources. IMPORTANT. For Scottish woods, the category Ancient comprises woods recorded as being of semi-natural origin on EITHER the 1750 Roy maps OR the 1st Edition Ordnance Survey maps of 1860. This is due a) to the likelihood of the latter having been omitted from the Roy maps and b) to render the Scottish classification compatible with that for England and Wales.More information at the NatureScot websiteComplete metadata
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  • European Diploma Areas
    By awarding the European Diploma, the Council of Europe recognises that the area is of particular European interest for natural-heritage and that the area is properly protected. The Diploma can be awarded to national parks, nature reserves or natural areas, sites or features. The award is for a five-year period. Annual reports are required for each area, and the renewal of the award at 5 years is only made after independent assessment of the site. The Diploma can be withdrawn at any time if the area comes under threat or suffers serious damage.Click here for the full metadata
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  • Possible SPAs at consultation stage
    SPAs in Scotland are classified by Scottish Ministers . These are areas of the most important habitat for rare (listed on Annex I to the Directive) and regularly occurring migratory birds within the European Union. SPAs are classified under the EC Birds Directive and together with SACs, form the Natura 2000 network. Proposed Special Protection Areas (pSPA) may be subject to change prior to classification.Find out more about the selection process on the JNCC website.
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  • World Heritage Sites
    St Kilda is the only World Heritage Site in Scotland recognised for its natural heritage. The United Nations Educational, Scientific and Cultural Organization (UNESCO) later extended this status to also include the archipelago’s cultural heritage. St Kilda today remains one of the rare ‘mixed’ World Heritage Sites.Find out more about St Kilda’s World Heritage Site status on the UNESCO website.Scotland’s Flow Country, an expanse of blanket bog in Caithness and Sutherland, is on the UK Tentative List of potential World Heritage Sites. The Peatlands Partnership is conducting a community consultation on the potential for a Flow Country World Heritage Site. You can access the consultation documents and other information on the Highland Council consultation portal or via the Flow Country website. A summary of the proposals can be found in the discussion document Go with the Flows? 
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  • RAMSAR Wetlands of International Importance
    Ramsar sites are classified under the Convention on Wetlands of International Importance. The mission of the Convention is "the conservation and wise use of all wetlands through local and national actions and international cooperation, as a contribution towards achieving sustainable development throughout the world". The UK Government signed up to the Convention in 1976.https://www.nature.scot/professional-advice/protected-areas-and-species/protected-areas/international-designations/ramsar-sitesScotland has 51 Ramsar sites designated as internationally important wetlands, covering a total area of about 313,000 hectares.Most Ramsar sites in Scotland are linked to the European site network - either as a Special Protection Area (SPA) or Special Area of Conservation (SAC). All are underpinned by Sites of Special Scientific Interest (SSSIs). These sites may be of importance for their wide variety of waterbirds, bogs, lochs, coastal wetlands and other water-dependent habitats and species.Learn about designating Ramsar sites on the Ramsar website.Complete metadata record on SSDI
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    over 2 years ago
  • hp wssa visual corrected count
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
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    Licence not specified
    over 2 years ago
  • gems species polygon dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
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    over 2 years ago
  • gems species polygon point dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • gems lsf polygon dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • gems habitat polygon dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • gems species point dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • gems species line dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • hp wca density acoustic pt
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • hp wca density visual pt
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • hp hwdt sightings
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • gems habitat polygon point dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • gems habitat point dataset
    This dataset is a redacted version of the latest GEMS V10 (i27), providing non-sensitive data on the species and habitats included in the collation. Records consented for re-use under terms associated with either an Open Government Licence (https://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/) or various Creative Commons licences (https://creativecommons.org/licenses/) are attributed as such in the CONSENT field. Details of copyright ownership to assist relevant acknowledgement are in the COPYRIGHT field.Full metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION Feasibility study polygons
    Distribution of Feasibility Study projects boundaries (when the polygon is available). The boundary of the feasibility study can represent either the survey area or the restoration footprint. The attribute table of the dataset contains information about the site ID, the year the feasibility study was completed and the total hectares of each site. Source: Peatland ACTION.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Artificial Coastal Defences
    Artificial sea front defences were digitised around the coast of Scotland, for use in informing on pre-existing coastal protection and in limiting the amount of erosion predicted as part of the Dynamic Coast FutureCoast shorelines. More information is available within Technical Summary WS2 via https://www.dynamiccoast.com/reportsComplete metadata record on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • NatureScot Area Boundaries
    This dataset details the new NatureScot National Operations Areas, as of April 2023. These new areas replace the previous NatureScot SNH Areas (Post April 2011) boundaries. This dataset was digitised using the Ordnance Survey Boundary-Line open data, using the local authorities geometries.Full metadata record
    1
    Licence not specified
    over 2 years ago
  • Sand Dune Vegetation Survey of Scotland
    The Sand Dune Vegetation Surveyof Scotland2012 (SDVSS) is a digitised version of surveys completed by Dr. Tom Dargie between 1994-2000The Western Isles three-volume report presents the results of 1988, 1995 and 1996 surveys of the dunes and machair using the National Vegetation Classification (NVC). The Shetland three-volume report presents the results of 1996 surveys the dunes and links/machair of using the National Vegetation Classification (NVC). The Orkney three-volume report presents the results of a 1996 survey of the dunes and links/machair of using the National Vegetation Classification (NVC). The Inner Hebrides three-volume report presents the results of 1996 and 1997 surveys of the dunes and machair of using the National Vegetation Classification (NVC). The Southwest Coast of Scotland three-volume report presents the results of surveys of the dunes and machair/links of the using the National Vegetation Classification (NVC). The Northwest Coast of Scotland three-volume report presents the results of surveys of the dunes and machair/links using the National Vegetation Classification (NVC). The East Coast of Scotland three-volume report presents the results of surveys of the dunes of the undertaken between 1995 and 1998 using the National Vegetation Classification (NVC). The Moray Firth three-volume report presents the results of surveys of the dunes of the undertaken between 1994 and 1998 using the National Vegetation Classification (NVC). The reports and maps of each survey can be found at https://www.nature.scot/snh-research-survey-and-monitoring-report-96-179-181-122-123-124-125-126-sand-dune-vegetation-surveySNH Research, Survey and Monitoring Report 96: Sand dune vegetation survey of Scotland: Western Isles - Volume 1: main report (1998)SNH Research, Survey and Monitoring Report 122: Sand dune vegetation survey of Scotland: Shetland: Volume 1: Main report (1998)SNH Research, Survey and Monitoring Report 123: Sand dune vegetation survey of Scotland: Orkney: Volume 1: Main report (1998)SNH Research, Survey and Monitoring Report 124: Sand dune vegetation survey of Scotland: Inner Hebrides: Volume 1: Main report (1999)SNH Research, Survey and Monitoring Report 125: Sand dune vegetation survey of Scotland: South West: Volume 1: Main report (1998)SNH Research, Survey and Monitoring Report 126: Sand dune vegetation survey of Scotland: North West: Volume 1: Main report (1998) SNH Research, Survey and Monitoring Report 179: Sand dune vegetation survey of Scotland: East Coast - Volume 1: Main Report (2001)SNH Research, Survey and Monitoring Report 181: Sand dune vegetation survey of Scotland: Moray Firth - Volume 1: Main Report (2001)
    1
    Licence not specified
    over 2 years ago
  • Broadleaved woodland habitat network hotspots
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Wetland habitat network hotspots
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Wetland habitat network
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Neutral grassland habitat network hotspots
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Neutral grassland habitat network
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Heathland habitat network
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Acid grassland habitat network
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Broadleaved woodland habitat network
    The BEETLE least-cost focal species approach negates the need to carry out a vast number of individual species analyses. The selection of the habitats to be modelled, and the species used to inform the analysis, were identified through a series of expert stakeholder workshops. The outputs can support the planning process, help prioritise conservation effort, prevent further fragmentation of biodiversity and aid connectivity of semi natural habitats.The BEETLE model analysis has been well referenced (Watts et al., 2005) and used in a variety of projects such as developing forest habitat networks across Scotland. The application of IHNs is the first time that the multiple habitat network approach has been used to solicit planning and development programmes in key areas.More informationComplete metadata on SpatialData.gov.scot
    1
    Licence not specified
    over 2 years ago
  • Onshore Windfarm Proposals
    As recorded in the SNH Casework Management System. Sites may be at different stages of the application process from scoping to operational or refused.For more details about planning and other information about windfarm developments please visit https://www.nature.scot/professional-advice/planning-and-development/planning-and-development-advice/renewable-energy/onshore-wind-energy.
    1
    Licence not specified
    over 2 years ago
  • Wetlands Opportunity Areas
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Grasslands Habitat and Networks
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Woodland Habitat and Networks
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Bog and Heath Opportunity Areas
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Wetlands Habitat and Networks
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Woodland Opportunity Areas
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Grasslands Opportunity Areas
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • Bog and Heath Habitat and Networks
    This dataset is part of a suite of shape-files which make up the CSGN 2021 Habitat Connectivity Map. The maps identify areas of habitat (woodland, grassland, wetland and bog and heath) across central Scotland which should be protected and improved, as well as key sites for connecting these habitats so that species can move between them.The data is intended to support planners, developers, land managers and communities identify areas to improve bog & heath habitat and the dispersal zones and opportunity areas will identify where there are areas to improve habitat connectivity. The opportunities are highlighted on the Bog & Heath Opportunity Areas shape-file. This data will also support the Scottish Government’s commitments to protect and restore biodiversity and to develop nature-based solutions to the climate emergency.More information
    1
    Licence not specified
    over 2 years ago
  • CNP Grassland Mapping Project 2020-22 - Polygon Centre Points
    This dataset provides polygon centroids (derived from CNPGrasslandMapping_2020to2022_Polygons dataset) providing results of grassland surveys undertaken in the Cairngorms National Park between 2020 and 2022 as part of a joint project delivered by NatureScot and the Cairngorms National Park Authority. The aim was to establish the location and extent of species-rich grassland (SRG) within enclosed (and formerly enclosed) farm land, up to a maximum altitudinal limit of 500 m, using a combination of remote sensing and targeted field survey. This dataset covers the Livet, Avon and Dee catchments.Patches of unimproved/semi-improved grassland, down to 0.04 ha in size, were identified and delineated by analysing high-resolution aerial photography (involving image segmentation and subsequent classification of the output). This provided a search map of polygons to visit in the field, targeting survey effort towards the areas where species-rich grassland was most likely to occur.The field survey was undertaken by contractors during July to September in 2020 and 2021, and July to October in 2022. For each polygon, grassland communities and their relative percentage cover were described using the National Vegetation Classification (NVC), and species-richness was assessed. Locations of any missed species-rich grassland, occurring outside the search map polygons, were captured in the field and added to the dataset.When species-rich grassland was encountered, additional detailed attributes describing the quality and condition of these stands were collected in the CNPGrasslandMapping_2020to2022_SRGAttributes dataset which can be joined/related to this one using the POLY_ID/ PARENT_POLY fields. Other notable habitats and plant species were captured in the CNPGrasslandMapping_2020to2022_TargetNotes dataset.There are 4930 polygons in total, of which 1482 (30%) were found to contain at least some species-rich grassland. The principal species-rich grassland NVC types were: dry – acid (U1d, U4c, U5c), neutral (MG2, MG3, MG5), calcareous (CG2, CG7, CG10, CG11); wet – purple moor-grass & rush pasture (M23a, M25c), tall-herb fen meadow (M27, M28). Polygons containing species-rich grassland can be identified using the SRG_PRES (yes/no) field.The dataset contains the following fields:NVC_1 to NVC_6 – NVC communities recorded in the polygon;COVER_1 to COVER_6 – relative percentage cover of each NVC community in the polygon;COMMENT – specific notes about vegetation in the polygon;SRG_PRES – presence of species-rich grassland in polygon (yes/no);NVC_LIST – list of all NVC communities in polygon and proportion cover of mosaic components;SRG_NVC – species-rich grassland NVC communities and proportion cover in the polygon;SRG_COVER – total percentage cover of species-rich grassland in polygon;POLY_HA – area of polygon (hectares);SRG_HA – area of species-rich grassland in polygon (hectares);SURV_YR – year of field survey;SURV_DATE – date of field survey;SURVEYOR – field surveyor;CATCHMENT – river catchment area;POLY_ID – unique polygon identifier.
    1
    Licence not specified
    over 2 years ago
  • CNP Grassland Mapping Project 2020-22 - Habitat classes table
    Table with summary habitat data grouping NVC habitat codes into broad classes with the aim of making them more understandable to a non-specialist audience. Data are derived from the CNPGrasslandMapping_2020to2022_Polygons dataset and can be joined/related using the POLY_ID fields.The table contains the following fields:POLY_ID - unique identifier from parent polygon;HAB_CLASS - broad habitat class;NVC_PER - percentage cover of habitat class within polygon;HAB_NO - habitat record number;COMPONENT - component identifier;SRG - indicates whether the habitat is a species-rich grassland or not (yes/no).Complete project metadata document on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • CNP Grassland Mapping Project 2020-22 - Polygons
    This polygon dataset provides results of grassland surveys undertaken in the Cairngorms National Park between 2020 and 2022 as part of a joint project delivered by NatureScot and the Cairngorms National Park Authority. The aim was to establish the location and extent of species-rich grassland (SRG) within enclosed (and formerly enclosed) farm land, up to a maximum altitudinal limit of 500 m, using a combination of remote sensing and targeted field survey. This dataset covers the Livet, Avon and Dee catchments. Patches of unimproved/semi-improved grassland, down to 0.04 ha in size, were identified and delineated by analysing high-resolution aerial photography (involving image segmentation and subsequent classification of the output). This provided a search map of polygons to visit in the field, targeting survey effort towards the areas where species-rich grassland was most likely to occur. The field survey was undertaken by contractors during July to September in 2020 and 2021, and July to October in 2022. For each polygon, grassland communities and their relative percentage cover were described using the National Vegetation Classification (NVC), and species-richness was assessed. Locations of any missed species-rich grassland, occurring outside the search map polygons, were captured in the field and added to the dataset. When species-rich grassland was encountered, additional detailed attributes describing the quality and condition of these stands were collected in the CNPGrasslandMapping_2020to2022_SRGAttributes dataset which can be joined/related to this one using the POLY_ID / PARENT_POLY fields. Other notable habitats and plant species were captured in the CNPGrasslandMapping_2020to2022_TargetNotes dataset. There are 4930 polygons in total, of which 1482 (30%) were found to contain at least some species-rich grassland. The principal species-rich grassland NVC types were: dry – acid (U1d, U4c, U5c), neutral (MG2, MG3, MG5), calcareous (CG2, CG7, CG10, CG11); wet – purple moor-grass & rush pasture (M23a, M25c), tall-herb fen meadow (M27, M28). Polygons containing species-rich grassland can be identified using the SRG_PRES (yes/no) field. The dataset contains the following fields: NVC_1 to NVC_6 – NVC communities recorded in the polygon; COVER_1 to COVER_6 – relative percentage cover of each NVC community in the polygon; COMMENT – specific notes about vegetation in the polygon; SRG_PRES – presence of species-rich grassland in polygon (yes/no); NVC_LIST – list of all NVC communities in polygon and proportion cover of mosaic components; SRG_NVC – species-rich grassland NVC communities and proportion cover in the polygon; SRG_COVER – total percentage cover of species-rich grassland in polygon; POLY_HA – area of polygon (hectares); SRG_HA – area of species-rich grassland in polygon (hectares); SURV_YR – year of field survey; SURV_DATE – date of field survey; SURVEYOR – field surveyor; CATCHMENT – river catchment area; POLY_ID – unique polygon identifier. Complete project metadata document on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • SRG Badenoch-Strathspey Inbye Survey 2006-2007 (extract) - Habitat classes table
    Table with summary habitat data grouping NVC habitat codes into broad classes with the aim of making them more understandable to a non-specialist audience. Data are derived from the BadSpeyInbyeSurvey_2006to2007_SRGExtract_Points and BadSpeyInbyeSurvey_2006to2007_SRGExtract_Fields datasets and can be joined/related using the ID / POLY_ID fields. The table contains the following fields: POLY_ID - unique identifier from parent polygon; HAB_CLASS - broad habitat class; NVC_PER - percentage cover of habitat class within polygon; HAB_NO - habitat record number; COMPONENT - component identifier; SRG - indicates whether the habitat is a species-rich grassland or not (yes/no). Complete project metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • CNP Grassland Mapping Project 2020-22 - Target Notes
    This point dataset contains target notes recorded during grassland field surveys in the Cairngorms National Park undertaken between 2020 and 2022, as part of a joint project delivered by NatureScot and the Cairngorms National Park Authority. The aim was to establish the location and extent of species-rich grassland (SRG) within enclosed (and formerly enclosed) farm land, up to a maximum altitudinal limit of 500 m, using a combination of remote sensing and targeted field survey. This dataset covers the Livet, Avon and Dee catchments. Patches of unimproved/semi-improved grassland, down to 0.04 ha in size, were identified and delineated by analysing high-resolution aerial photography (involving image segmentation and subsequent classification of the output). This provided a search map of polygons to visit in the field, targeting survey effort towards the areas where species-rich grassland was most likely to occur. The field survey was undertaken by contractors during July to September in 2020 and 2021, and July to October 2022. For each polygon, grassland communities and their relative proportion cover were described using the National Vegetation Classification (NVC), and species-richness was assessed. Locations of any missed species-rich grassland, occurring outside the search map polygons, were captured in the field and added to the dataset. This information is stored in the associated CNPGrasslandMapping_2020to2022_Polygons dataset. When species-rich grassland was encountered, additional detailed attributes describing the quality and condition of these stands were collected in the CNPGrasslandMapping_2020to2022_SRGAttributes dataset. This dataset provides point locations, descriptions and photo attachments for other notable habitats and plant species recorded during the field survey, and contains the following fields: CATEGORY – category of point record collected (habitat record, species record, photo point, target note); HAB_SPEC – habitat or species recorded; COMMENT – detailed description/notes; GRIDREF – grid reference of point; SURV_YEAR – year of field survey; SURV_DATE – date of field survey; SURVEYOR – field surveyor; CATCHMENT – river catchment area; POINT_ID – unique identifier. Complete project metadata on spatialdata.gov.scot
    1
    Licence not specified
    over 2 years ago
  • CNP Grassland Mapping Project 2020-22 - SRG attributes
    This point dataset contains information on the quality and condition of species-rich grassland communities recorded during field surveys in the Cairngorms National Park undertaken between 2020 and 2022, as part of a joint project delivered by NatureScot and the Cairngorms National Park Authority. The aim was to establish the location and extent of species-rich grassland (SRG) within enclosed (and formerly enclosed) farm land, up to a maximum altitudinal limit of 500 m, using a combination of remote sensing and targeted field survey. This dataset covers the Livet, Avon and Dee catchments. Patches of unimproved/semi-improved grassland, down to 0.04 ha in size, were identified and delineated by analysing high-resolution aerial photography (involving image segmentation and subsequent classification of the output). This provided a search map of polygons to visit in the field, targeting survey effort towards the areas where species-rich grassland was most likely to occur. The field survey was undertaken by contractors during July to September in 2020 and 2021, and July to October in 2022. For each polygon, grassland communities and their relative proportion cover were described using the National Vegetation Classification (NVC), and species-richness was assessed. Locations of any missed species-rich grassland, occurring outside the search map polygons, were captured in the field and added to the dataset. This information is stored in the associated CNPGrasslandMapping_2020to2022_Polygons dataset. When species-rich grassland was encountered, additional detailed attributes describing the quality and condition of these stands, plus photo attachments, were collected in this point dataset (which can be joined/related to the polygons using the POLY_ID/ PARENT_POLY fields). A rapid assessment of key features relating to species-richness, sward characteristics, management, and presence and abundance of notable species was undertaken following a structured walk through each SRG stand. Attributes are mostly categorical to promote a consistent, standardised response. The dataset contains the following fields: SRG_NVC – species-rich grassland NVC community; SRG_HAB – broad SRG habitat type; SPEC_SQ_M – number of species per square metre (≤10, 11-20, 21-30, >30); FORB_COV – % cover of forbs (≤10, 11-25, 26-50, 51-75, ≥75); SWRD_HT_CM – sward height range (cm) (≤5, 6-20, 21-30, >30); THATCH_ACCU – thatch accumulation (%) (≤10, 11-25, 26-50, 51-75, ≥75); BARE_GRN – bare ground (%) (<1, 1-5, 6-10, >10%); MANAGEMENT –obvious management at time of survey (grazing - sheep, grazing - cattle, grazing - sheep & cattle, grazing - deer, cutting - hay, cutting - silage, cutting - verge, no grazing / cutting, other - describe in comment);GRAZ_INTENS – grazing intensity (at time of survey) (none, low, moderate, high); PRESSURES – negative pressures impacting site condition (none, over-grazed, under-grazed, scrub / tree encroachment, under-grazed & scrub / tree encroachment, bracken encroachment, ruderals, heavy poaching, other - describe in comment); COMMENT – additional notes on quality/condition/management; Notable species, recorded using DAFOR scale (Dominant, Abundant, Frequent, Occasional, Rare, or Absent): CIRS_HETR – Cirsium heterophyllum; GENT_CAMP – Gentianella campestris; GALI_BORE – Galium boreale; HELI_NUMM – Helianthemum nummularium; LINU_CATH – Linum catharticum; LYCH_FLOS – Lychnis flos-cuculi; MEUM_ATHA – Meum athamanticum; PERS_VIVI – Persicaria vivipara; PIMP_SAXI – Pimpinella saxifraga; TROL_EURO – Trollius europaeus; VIOL_LUTE – Viola lutea; AVEN_PRAT – Avenula pratensis; BRIZ_MEDI – Briza media; BOTR_LUNA – Botrychium lunaria; COLE_VIRI – Coeloglossum viride; DACT_FUCH – Dactylorhiza fuchsii; DACT_MACU – Dactylorhiza maculata; DACT_PURP – Dactylorhiza purpurea; DACT_SP – Dactylorhizasp.; GYMN_BORE – Gymnadenia borealis; NEOT_OVAT – Neottia ovata; PLAT_BIFO – Platanthera bifolia; PLAT_CHLO – Platanthera chlorantha; PSUD_ALBI – Psudorchis albida; TOT_OTRCH_AB - Total orchid abundance (all species combined); WAXCAPS – presence of waxcap fungi (present/absent); OTH_NOTABLE – other notable species; PARENT_POLY – unique identifier of polygon in which the point was collected (can be used as join/relate field); GRIDREF – grid reference of point; SURV_YEAR – year of field survey; SURV_DATE – date of field survey; SURVEYOR – field surveyor; CATCHMENT – river catchment area; POINT_ID – unique identifier. Complete project metadata on spatialdata.gov.scot
    1
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    over 2 years ago
  • SRG Badenoch-Strathspey Inbye Survey 2006-2007 (extract) - Points
    A selection of 1351 from the IACS (Integrated Administration and Control System) dataset, classified as either permanent pasture or rough grazing, and <50 ha in size, were visited by surveyors in Badenoch and Strathspey in 2006 and 2007. The vegetation communities and their relative percentage cover were recorded using the National Vegetation Classification (NVC). Additional fields (not included in the IACS extract) deemed to contain grassland communities of interest were also opportunistically surveyed, giving a total of 1877 fields.815 of the fields were found to contain species-rich grassland (SRG) communities. 541 of them had IACS field boundaries. 274 had no IACS field boundary and were mapped as central point locations only. The original GIS datasets were reassessed in 2020/2021 using the most recent available aerial photography (from Getmapping plc) to establish the likelihood that species-rich grassland was still present in the fields and identify potential causes of loss or change.This dataset provides central points for the 815 fields with SRG from the 2006/2007 field surveys, plus results of the 2020/2021 aerial photo reassessment, and contains the following fields:NVC_1 to NVC_19 – NVC communities recorded in field (from 2006/2007 surveys); COVER_1 to COVER_19 – relative % cover of each NVC community in field; NVC_LIST – list of all NVC communities in field and % cover; SRG_NVC – species-rich grassland NVC communities in field; SRG_COVER – total % cover of species-rich grassland in field; POLY_HA – area of field (in hectares); SRG_HA – area (in hectares) of species-rich grassland in field;SRG_LIKELI – likelihood that SRG is still present in the field (low, medium, high) following aerial photography assessment;LOSS_CAUSE – cause of SRG loss, if apparent, from pre-defined categories (development, amenity and recreation, plantation, under management, livestock damage, agricultural improvement, other, uncertain); SRG_COMMENT – comment with additional information relating to perceived change/loss of SRG in the field and the extent of loss; IMAGERY_YR – most recent year of aerial imagery against which field was assessed;GRIDREF – grid reference of center point;DATASET – source dataset from which point feature was derived;ID – unique identifier.Polygon data is also available for the fields that had IACS boundaries in the BadSpeyInbyeSurvey_2006to2007_SRGExtract_Fields dataset.
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION completed restoration centroids
    Completed restoration project site centroids in Peatland ACTION are locations on a map that represent the geographic centre of peatland restoration projects that have been completed. They provide a visual representation of the distribution of completed peatland restoration projects across Scotland. Users can interact with these site centroids to view more detailed information about individual projects, such as financial year end or the size of the project area in hectares.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • agol pa site centroids objects
    Completed restoration project site centroids in Peatland ACTION are locations on a map that represent the geographic centre of peatland restoration projects that have been completed. They provide a visual representation of the distribution of completed peatland restoration projects across Scotland. Users can interact with these site centroids to view more detailed information about individual projects, such as financial year end or the size of the project area in hectares.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION completed restoration footprints
    Completed restoration projects footprint in Peatland ACTION refers to the geographic extent of peatland restoration projects that have been completed. These footprints are represented as polygons on a map and are created by buffering spatial data from restoration techniques applied on site. They provide a visual representation of the size and shape of completed peatland restoration projects, and users can interact with these footprints to view more detailed information about individual projects, such as the financial year end, the size of the project area.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • Peatland Action Peat depth and condition
    Nature Scot (NS) has prepared a consolidated spatial dataset of peat depth measurement collected across Scotland. The information was collected during peat depth surveys conducted as part of various assessments carried out on sites that formed part of the Peatland ACTION project (2013-2023).Surveys were conducted using the Peat depth survey guidance (https://www.nature.scot/doc/peatland-action-peat-depth-and-peat-condition-survey-guidance-and-recording-form-guidance) issued by Peatland Action program. The current version of the dataset provides all available data on 01 June 2023. Additional datasets will be added to the database when they become available.The surveys were conducted at a high spatial resolution (100 m grid) over a wide geographical spread of the sites across Scotland.The current version includes data collected from 338 projects with over 90,000 individual survey points.The average peat depth across all 338 projects is 1.35m with a maximum depth of 15.2m.
    1
    Licence not specified
    over 2 years ago
  • Coastal Vegetated Shingle Survey
    1
    Licence not specified
    over 2 years ago
  • Geomorphology of the Cairngorm Mountains
    1
    Licence not specified
    over 2 years ago
  • NatureScot Peatland ACTION WMS
    Web Map Service maintained by NatureScot to publish GIS data related to the Peatland ACTION project
    1
    Licence not specified
    over 2 years ago
  • Coastal Vegetated Shingle target notes
    1
    Licence not specified
    over 2 years ago
  • Coastal Vegetated Shingle transects
    1
    Licence not specified
    over 2 years ago
  • Coastal Vegetated Shingle polygons
    1
    Licence not specified
    over 2 years ago
  • NatureScot Protected Areas WMS
    Web Mapping Service containing data about the various designated sites (protected areas) in Scotland.
    1
    Licence not specified
    over 2 years ago
  • NatureScot Habitats and Species WMS
    Web Mapping Service containing data about habitat surveys and species distribution in Scotland
    1
    Licence not specified
    over 2 years ago
  • Cairngorm Geomorphology Polygons
    1
    Licence not specified
    over 2 years ago
  • Cairngorm Geomorphology Lines
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION Project Officer areas
    1
    Licence not specified
    over 2 years ago
  • NatureScot Renewables WMS
    This service contains layers with data about renewable energy developments and locational guidance for developers.
    1
    Licence not specified
    over 2 years ago
  • NatureScot Administrative WMS
    OGC compliant data service containing layers about various administrative boundaries.
    1
    Licence not specified
    over 2 years ago
  • NatureScot GEMS Healthy Biodiverse WMS
    Web Mapping Service containing data related to Priority Marine Features (PMF), MPA Search features (Black guillemot or Large-scale feature of functional significance), and Annex I features used to underpin the selection and management of Marine Protected Areas and the wider marine environment.
    1
    Licence not specified
    over 2 years ago
  • NatureScot Marine SPA birds data WMS
    Web Map Service maintained by NatureScot to publish GIS bird habitat and distribution data used to determine the extent of marine Special Protection Areas.
    1
    Licence not specified
    over 2 years ago
  • NatureScot MPA Network WMS
    Web Map Service maintained by NatureScot to publish GIS data about SSSI, SPA, SAC and MPA sites participating in the MPA network
    1
    Licence not specified
    over 2 years ago
  • Scotland Land Cover Map 2022 - EUNIS Level 2
    Training data were collected through using a combination of the following sources:Habitat Map of Scotland (ground polygons)2022 National Forest InventoryOrdnance SurveyHigh resolution imageryIn all cases the ground data were not used naively: a careful combination of at least two data sources were used to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (for example, if it was a forest polygon, the trees had not been cleared since the data were collected).Satellite remote sensing datasets used for mapping were Optical Sentinel 2 (S2), Synthetic Aperture Radar (SAR) Sentinel-1, descending and ascending ALOS-PALSAR 2. A complex set of machine learning algorithms were used to produce a Prediction Model, and ultimately a prediction of a class for each pixel.Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.Further information about the data lineage is provided in the accompanying report:2022 Scotland Land Cover Revised Map - Report
    1
    Licence not specified
    over 2 years ago
  • NatureScot DynamicCoast WMS
    At five ‘super sites’, including St Andrews, Montrose and Skara Brae we have forecast future changes, anticipated damage and developed mitigation and adaptation plans with stakeholders. This will help demonstrate the applicability and need for adaptation actions across the public sector. Importantly the work also considers the social justice implications of existing and climate change exacerbated coastal erosion in Scotland. Phase two of the Dynamic Coast research project provides updates to various layers depicting the extent of Mean High Water Springs at various points between 1890 and modern times, produced during the initial phase. In addition forecasts for MHWS based on High, Medium and Low Emission Scenarios are presented.
    1
    Licence not specified
    over 2 years ago
  • Regional Parks
    The function of a Regional Park is to provide an opportunity for the co-ordinated management of recreational provision alongside, and in close collaboration with, the management of other land uses throughout the Park. Regional parks are managed by local authorities, with support from Scottish Natural Heritage.
    1
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    over 2 years ago
  • Nature Reserves
    SNH nature reserves (NR) are those SNH properties (owned, leased, or under agreement) it manages for nature with some provision for people to visit. SNH also manages some properties as National Nature Reserves.
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Uncertainty
    A dataset showing areas where modelled FutureCoast results may be unreliable due to uncertainties in input data or other reasons.
    1
    Licence not specified
    over 2 years ago
  • Riparian Woodland
    Riparian woodland in Scotland identified using a combination of existing open datasets. Search area is 20m either side of water courses. Includes coniferous and broadleaved woodland, native and non-native. Woodland datasets include Native Woodland Survey of Scotland, Smallwoods dataset from Forest Research, National Forest Inventory. Additional areas are included where these had been highlighted using height data and manually checked in aerial imagery. Minimum patch size is 2000m2.Search area is 20m either side of water courses. Underlying water courses are combination of OS open rivers, Vector Map District, SEPA open rivers, OpenStreetMap water courses. All are line datasets apart from Vector Map District which is a polygon dataset. Therefore the width of wider rivers has been taken into account. 
    1
    Licence not specified
    over 2 years ago
  • National Vegetation Classification - NVC
    The National Vegetation Classification (NVC) is one of the key common standards developed for the country nature conservation agencies. The original project aimed to produce a comprehensive classification and description of the plant communities of Britain, each systematically named and arranged and with standardised descriptions for each.It was originally commissioned in 1975 by the Nature Conservancy Council (NCC) and was intended as a new classification, not an attempt to fit British plant communities into some existing scheme derived from elsewhere in Europe. The general approach adopted was phytosociological and, therefore, concentrated on the rigorous recording of floristic data. It did, nevertheless, try to avoid over-scrupulous selection of samples, rejection of awkward data and preoccupation with the hierarchical taxonomy of vegetation types. (text from JNCC NVC page)More about the methodology on the JNCC website.
    1
    Licence not specified
    over 2 years ago
  • NatureScot Landscape WMS
    This service contains various map layers with information about the geomorphology and other landscape features of Scotland.
    1
    Licence not specified
    over 2 years ago
  • Landscape Map of Scotland
    The project highlights what it is that gives familiar areas their distinctiveness and identity; suggests what might attract people to explore new areas; and should help instill a desire to ensure that the diversity of Scotland's landscapes is not diminished. It is about place at the broad scale.Complete metadata record
    1
    Licence not specified
    over 2 years ago
  • Scotland Land Cover Map 2019
    20 m resolution geotifs derived from:Ground DataThe ground data were collected through using a combination of the following sources, using a broad search that stretched beyond our Areas of Interest:Habitat Map of Scotland (ground polygons)2018 National Forest InventoryOrdnance SurveyGlobal Forest Change v1.6High resolution imageryIn all cases the ground data were not used naively: we used a careful combination of at least two data sources to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (forexample, if it was a forest polygon, the trees had not been cleared since the data were collected).Satellite remote sensing datasets used for mappingOptical Sentinel 2 (S2) (30/03/2019-10/11/2019)Radar Sentinel-1, descending and ascending (01/01/2019-31/12/2019)ALOS-PALSAR 2, 2018 annual compositeTopography Shuttle Radar Topography Mission (SRTM, 2000)ProcessExtensive training datasets, and derived features from remote sensing data, to implement a complex set of tuned machine learning algorithms to produce a Prediction Model, and ultimately a prediction of a class for each pixel. Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.
    1
    Licence not specified
    over 2 years ago
  • Scotland Land Cover Map 2020
    20 m resolution geotifs derived from:Ground DataThe ground data were collected through using a combination of the following sources, using a broad search that stretched beyond our Areas of Interest:Habitat Map of Scotland (ground polygons)2018 National Forest InventoryOrdnance SurveyGlobal Forest Change v1.6High resolution imageryIn all cases the ground data were not used naively: we used a careful combination of at least two data sources to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (forexample, if it was a forest polygon, the trees had not been cleared since the data were collected).Satellite remote sensing datasets used for mappingOptical Sentinel 2 (S2) (30/03/2019-10/11/2019)Radar Sentinel-1, descending and ascending (01/01/2019-31/12/2019)ALOS-PALSAR 2, 2018 annual compositeTopography Shuttle Radar Topography Mission (SRTM, 2000)ProcessExtensive training datasets, and derived features from remote sensing data, to implement a complex set of tuned machine learning algorithms to produce a Prediction Model, and ultimately a prediction of a class for each pixel. Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.
    1
    Licence not specified
    over 2 years ago
  • Scotland Land Cover Map - Change 2020-2022
    Training data were collected through using a combination of the following sources:Habitat Map of Scotland (ground polygons)2022 National Forest InventoryOrdnance SurveyHigh resolution imageryIn all cases the ground data were not used naively: a careful combination of at least two data sources were used to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (for example, if it was a forest polygon, the trees had not been cleared since the data were collected).Satellite remote sensing datasets used for mapping were Optical Sentinel 2 (S2), Synthetic Aperture Radar (SAR) Sentinel-1, descending and ascending ALOS-PALSAR 2. A complex set of machine learning algorithms were used to produce a Prediction Model, and ultimately a prediction of a class for each pixel.Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.Further information about the data lineage is provided in the accompanying report:2022 Scotland Land Cover Revised Map - Report
    1
    Licence not specified
    over 2 years ago
  • Scotland Land Cover Map 2022 - EUNIS Level 1
    Training data were collected through using a combination of the following sources:Habitat Map of Scotland (ground polygons)2022 National Forest InventoryOrdnance SurveyHigh resolution imageryIn all cases the ground data were not used naively: a careful combination of at least two data sources were used to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (for example, if it was a forest polygon, the trees had not been cleared since the data were collected).Satellite remote sensing datasets used for mapping were Optical Sentinel 2 (S2), Synthetic Aperture Radar (SAR) Sentinel-1, descending and ascending ALOS-PALSAR 2. A complex set of machine learning algorithms were used to produce a Prediction Model, and ultimately a prediction of a class for each pixel.Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.Further information about the data lineage is provided in the accompanying report:2022 Scotland Land Cover Revised Map - Report
    1
    Licence not specified
    over 2 years ago
  • Scotland Land Cover Map - Change 2019-2020
    20 m resolution geotifs derived from:Ground DataThe ground data were collected through using a combination of the following sources, using a broad search that stretched beyond our Areas of Interest:Habitat Map of Scotland (ground polygons)2018 National Forest InventoryOrdnance SurveyGlobal Forest Change v1.6High resolution imageryIn all cases the ground data were not used naively: we used a careful combination of at least two data sources to create each polygon, and checking against recent high resolution imagery to ensure each polygon was ‘pure’ (i.e. included only one class) and up to date (forexample, if it was a forest polygon, the trees had not been cleared since the data were collected).Satellite remote sensing datasets used for mappingOptical Sentinel 2 (S2) (30/03/2019-10/11/2019)Radar Sentinel-1, descending and ascending (01/01/2019-31/12/2019)ALOS-PALSAR 2, 2018 annual compositeTopography Shuttle Radar Topography Mission (SRTM, 2000)ProcessExtensive training datasets, and derived features from remote sensing data, to implement a complex set of tuned machine learning algorithms to produce a Prediction Model, and ultimately a prediction of a class for each pixel. Through the project duration the sophistication of the models used increased, increasing accuracy and efficiency. For commercial reasons the details of the final algorithms used will not be revealed here.
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION completed reported hectares (non-spatial)
    This non-spatial table contains reported hectares of completed and in-progress peatland ACTION restoration projects since 2013 from all ENFOR partners (NatureScot, Forestry and Land Scotland, Scottish Water and Loch Lomond and the Trossachs National Park Authority and Cairngorms National Park Authority). Note that reported hectares will be per projects and per financial year end. Restoration projects that last more than 1 year will have more than 1 rows per grant ID.
    1
    Licence not specified
    over 2 years ago
  • Peatland ACTION - Feasibility Studies (centroid)
    Distribution of Feasibility Study projects site centroids. The centroids of the feasibility study can represent either the survey area or the equivalent location of the restoration footprint. The attribute table of the dataset contains information about the site ID, the year the feasibility study was completed and the status. Source: Peatland ACTION.Layer also available to download from here: https://spatialdata.gov.scot/geonetwork/srv/eng/catalog.search#/home
    1
    Licence not specified
    over 2 years ago
  • Biosphere Reserves
    SelectionAny community or organisation can propose a new biosphere reserve. Proposals are made to UNESCO via the Scottish Government or the UK Government’s Department for Environment, Food and Rural Affairs. UNESCO considers all proposals, and it reviews existing sites every five years. The community where a biosphere reserve is proposed is responsible for setting up and managing the reserve.Protection and managementBiosphere reserve designation helps to promote the integrated and sustainable management of an area. To achieve this, two approaches must be applied: the use of a zonation approach with a protected core area and a buffer area within which sustainable development may be promoted;participation of the local community.
    1
    Licence not specified
    over 2 years ago
  • Possible Ramsar Wetlands at consultation stage
    Ramsar sites are classified to meet the UK's commitments under the Ramsar Convention. The UKs ratification also extends to its Overseas Territories and Crown Dependencies. These sites comprise of globally important wetland areas and may extend into the marine environment.
    1
    Licence not specified
    over 2 years ago
  • Natural Heritage Futures Zones
    The natural heritage zonation approach adopted by SNH is intended to provide a logical framework, reflecting the diversity of Scotland's natural heritage, within which SNH can clearly and simply plan and execute its work. The zones are not, therefore, intended as a classification of the natural heritage but, rather as an operational tool which is founded in the natural heritage.
    1
    Licence not specified
    over 2 years ago
  • Marine Consultation Areas
    Marine Consultation Areas are identified by Scottish Natural Heritage as deserving particular distinction in respect of the quality and sensitivity of the marine environment within them. Their selection encourages coastal communities and management bodies to be aware of marine conservation issues in the area.
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Artificial Coastal Defences Buffer
    Artificial sea front defences were digitised around the coast of Scotland, for use in informing on pre-existing coastal protection and in limiting the amount of erosion predicted as part of the Dynamic Coast FutureCoast shorelines.This dataset is the 25m buffer inland of these defence lines.More information is available within Technical Summary WS2 via www.DynamicCoast.com/reports
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast MHWS 1890s
    High Water Mark of Ordinary Spring Tide. Digitised from the OS 2nd Edition. Scale 6 inch map (1:10,560) county series. Epoch 1890 to 1959. The 'soft' or erodible shoreline has been mapped, not the whole coastline. For more information see www.dynamiccoast.comUpdated as part of the second phase of Dynamic Coast research (2021).
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast MHWS 1970s
    Mean High Water Spring, digitised from OS National Grid 1:10,560/1:10,000 sheets. Epoch 1956 to 1995. Extent: Soft or Erodible shorelines. This data was digitised as part of the National Coastal Change Assessment, see www.dynamiccoast.com for more info.Updated as part of the second phase of Dynamic Coast research (2021).
    1
    Licence not specified
    over 2 years ago
  • DynamicCoast Transects for High Emissions Scenario
    Transects spaced at 10m intervals along wave-dominated erodable shorelines as defined by Dynamic Coast. The transects display key information which inform coastal change calculations (incl. date and source of tide lines, anticipated relative sea level rise) alongside key results (incl. erosion amount and rate per decade). Further explanation available within Technical Summary WS2, via www.DynamicCoast.com/reports.
    1
    Licence not specified
    over 2 years ago
  • Riparian woodland
    Riparian woodland in Scotland identified using a combination of existing open datasets. Search area is 20m either side of water courses. Includes coniferous and broadleaved woodland, native and non-native. Woodland datasets include Native Woodland Survey of Scotland, Smallwoods dataset from Forest Research, National Forest Inventory. Additional areas are included where these had been highlighted using height data and manually checked in aerial imagery. Minimum patch size is 2000m2.Search area is 20m either side of water courses. Underlying water courses are combination of OS open rivers, Vector Map District, SEPA open rivers, OpenStreetMap water courses. All are line datasets apart from Vector Map District which is a polygon dataset. Therefore the width of wider rivers has been taken into account. 
    1
    Licence not specified
    over 2 years ago
  • NVC Survey Coverage
    The National Vegetation Classification (NVC) is one of the key common standards developed for the country nature conservation agencies. The original project aimed to produce a comprehensive classification and description of the plant communities of Britain, each systematically named and arranged and with standardised descriptions for each.It was originally commissioned in 1975 by the Nature Conservancy Council (NCC) and was intended as a new classification, not an attempt to fit British plant communities into some existing scheme derived from elsewhere in Europe. The general approach adopted was phytosociological and, therefore, concentrated on the rigorous recording of floristic data. It did, nevertheless, try to avoid over-scrupulous selection of samples, rejection of awkward data and preoccupation with the hierarchical taxonomy of vegetation types. (text from JNCC NVC page)More about the methodology on the JNCC website.
    1
    Licence not specified
    over 2 years ago
  • NVC Habitat Polygons
    The National Vegetation Classification (NVC) is one of the key common standards developed for the country nature conservation agencies. The original project aimed to produce a comprehensive classification and description of the plant communities of Britain, each systematically named and arranged and with standardised descriptions for each.It was originally commissioned in 1975 by the Nature Conservancy Council (NCC) and was intended as a new classification, not an attempt to fit British plant communities into some existing scheme derived from elsewhere in Europe. The general approach adopted was phytosociological and, therefore, concentrated on the rigorous recording of floristic data. It did, nevertheless, try to avoid over-scrupulous selection of samples, rejection of awkward data and preoccupation with the hierarchical taxonomy of vegetation types. (text from JNCC NVC page)More about the methodology on the JNCC website.
    1
    Licence not specified
    over 2 years ago
  • Blanket bog
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Flush
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Scrub
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Smooth grassland
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Snowbed
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Tall herbs
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
  • Wind-clipped heath
    Data refer to small-scale field indicators for grazing and trampling impacts by ungulates - most notably deer and sheep. NB not all indicators are appropriate to a given location, and where this is the case, data are referred to as not applicable (NA), adjacent to the relevant indicator. Additional field data include quantitative and trend measures. Attribute data, including Deer Management Unit, Deer Management Group, designated sites, and - where field-based observations are missing - NVC data, have been obtained from available SNH GIS data. Feature(s) of interest data has been determined based on survey Statements of Requirements and site-level designations (NB where both Natura and SSSI designations overlap, the former is prioritised unless otherwise stated in survey objectives), NVC descriptions and SNH specialised knowledge. Some apparent localised location discrepancies (e.g., points lying outside designated boundaries) do occur occasionally with this data, owing to GPS and human error from the time of survey.The method for producing summary grazing and trampling impact classes for each point have been standardised using a median value (or an intermediate class where there are equal numbers) and hence the summary descriptions (L, ML, M, MH, H) presented in this dataset may vary from those in the original surveyors spreadsheets.Indicator attribute names are coded to state the field guide habitat, as prefix (e.g. SG, for smooth grassland indicators); followed by the type of indicator or measure assessed (i.e., ’Q’, ’I’, ’T’ for quantitative, indicator and trend measures, respectively); the number of the measure, in order; and whether the measure is associated with grazing (‘GR’), trampling (‘TR’) or dunging (‘DU’) by ungulates. The order of the specific measures are taken from MacDonald et al. (1998) small-scale indicators for grazing and tramping impacts (only); the ordering of quantitative measures, which came into being after the guide publication, are determined from SNH document ‘DRAFT HIA Indicator tables 2017 v0.1.docx’ (A2479946).Explanation of attributes can be found in the HIA_attributes spreadsheet.
    1
    Licence not specified
    over 2 years ago
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