My GeoServer WFSThis is a description of your Web Feature Server.
The GeoServer is a full transactional Web Feature Server, you may wish to limit
GeoServer to a Basic service level to prevent modificaiton of your geographic
data.WFSWMSGEOSERVERWFS1.1.0NONENONE1.0.01.1.0text/xmltext/xml; subtype=gml/3.1.1resultshitstext/xml; subtype=gml/3.1.1GML2KMLSHAPE-ZIPapplication/gml+xml; version=3.2application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.22ALLSOMEresultshitstext/xml; subtype=gml/3.1.1GML2KMLSHAPE-ZIPapplication/gml+xml; version=3.2application/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvexcelexcel2007gml3gml32jsontext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.2text/xml; subtype=gml/3.1.1GenerateNewUseExistingReplaceDuplicateALLSOMEQueryInsertUpdateDeleteLockgeonode:CStorageCarbon sequestration at eldership levelCarbon sequestration calculated using Net primary production (NPP) (average 2000-2013) per eldership (average). NPP data is derived from MODIS/055/MOD17A3 satelite (500 m resolution) Data in kg C/m². Classes were carried out according to Quantile interval.Carbonurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e55eb622-9f44-11e9-adff-005056920f9cgeonode:Climate_RegulationClimate regulation at eldership levelClimate regulation calculated using as indicator net primary production (NPP)(average 2000-2013) by forests and woodlands (3.1.1. Broad-leaved forest, 3.1.2. Coniferous forest, 3.1.3. Mixed forest and 3.2.4. Transitional woodland shrub) per eldership (average). NPP data is derived from MODIS/055/MOD17A3 satelite (500 m resolution) and Corine land cover 2018 data from (https://land.copernicus.eu/pan-european/corine-land-cover/clc2018). Data in kg C/m² . Classes were carried out according to Quantile interval.Climate_Regulationurn:x-ogc:def:crs:EPSG:303520.564159157189266 53.6046361609761627.219318862826327 56.81711050028268http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c3cd186e-9f5d-11e9-adff-005056920f9cgeonode:Crop_DemCrop demand at eldership levelCrop demand calculated from the average (2000-2017) bread and grain, vegetables, potatoes, fruits and berries consumption per capita at eldership level. The average of Bread and grain, vegetables, potatoes, fruits and berries consumption per capita was multiplied by the number of residents in the different elderships in 2011.
Crop consumption per capita and Census 2011 data from Lithuanian Statistical Department (2018). Data in kg/eldership. Classes were carried out according to Quantile interval.CropCurn:x-ogc:def:crs:EPSG:303520.564159157189266 53.6046361609761627.219318862826327 56.81711050028268http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=75e3ec4c-9bcd-11e9-adff-005056920f9cgeonode:Crop_munCrop demand at municipal levelCrop demand calculated from the average (2000-2017) bread and grain, vegetables, potatoes, fruits and berries consumption per capita at municipal level. The average of Bread and grain, vegetables, potatoes, fruits and berries consumption per capita was multiplied by the number of residents in the different municipalities (average 20015-2018).
Crop consumption per capita and Census 2011 data from Lithuanian Statistical Department (2018). Data in kg/eldership. Classes were carried out according to Quantile interval.CropCurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fbd28eb6-9bce-11e9-adff-005056920f9cgeonode:CropCCrop production (cereals and grains) at municipality levelTotal average (2014-2018) of cereal and grain production (grain crops, cereals, winter cereals, winter wheat, winter triticale, winter rye, winter barley, spring cereals, spring wheat, spring triticale, spring rye, oats, buckwheat, mixed cereals, grain maize, dried pulses, peas, beans, vetches, mixed dried pulses, lupines, mustard, hemp and sunflower). Data in tons per hectare (t/ha).
Cereals and grain data are from the Lithuanian statistical portal (2018). Classes were carried out according to Quantile interval.GrainCerealurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f0c87d24-2ad5-11e9-adff-005056920f9cgeonode:CropFVCrop production (field vegetables) at municipality levelTotal Average (2013-2017) of field vegetables (all brassicas, carrots, onions, beetroot). Data in tons per hectare (t/ha). Field vegetables data is from the Lithuanian statistical portal (2018). Classes were carried out according to Quantile interval.Vegetablesurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=38d6b032-2ada-11e9-adff-005056920f9cgeonode:Fruits_vegCrop production (fruits and berries) at municipality levelTotal Average (2013-2017) of fruits and berries (orchards and berries plantations, apples, blackcurrant and strawberries). Data in tons per hectare (t/ha). Crop production (fruits and berries) data are from the Lithuanian statistical portal (2018). Classes were carried out according to Quantile interval.BerriesFruits_vegurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ef4e5752-9d62-11e9-adff-005056920f9cgeonode:CropGVCrop production (vegetables under glass) at municipality levelTotal Average (2013-2017) of vegetables produced in greenhouses (tomatoes and cucumbers). Data in tons per hectare (t/ha). Vegetables under glass data are from the Lithuanian statistical portal (2018). Classes were carried out according to Quantile interval.Vegetablesurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=811b1448-2ad8-11e9-adff-005056920f9cgeonode:Cult_NatCultural and natural supplyCultural and natural supply service was calculated by using the point and area data of natural and cultural objects. Data sample included botanical and geological objects, forthills, natural monuments (points), nature reservations, parks, cultural heritage sites (areas). The data was gathered from Department of Cultural Heritage, piliakalniai.lt, Cadastre of protected areas in Lithuania mapped in Google Maps based on data provided in State service for protected areas website.The kernel density estimation was applied to point data, results were reclassified (jenks), overlayed with area data. The zonal statistics was applied to calculate the mean of cultural/natural supply density per eldership.Cultural_NaturalCulturalurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=02b128b4-006f-11ea-8c53-005056920f9cgeonode:Flood_dem90Flood Regulation Demand 1990Flood Regulation Demand 1990floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=467e0a70-a048-11ef-bc89-005056920f9cgeonode:Flood_dem00Flood Regulation Demand 2000Flood Regulation Demand 2000floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c57cbc04-a048-11ef-bc89-005056920f9cgeonode:Flood_dem06Flood Regulation Demand 2006Flood Regulation Demand 2006floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=1bf7084c-a061-11ef-bc89-005056920f9cgeonode:Flood_dem12Flood Regulation Demand 2012Flood Regulation Demand 2012floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fa3a8fd6-a064-11ef-bc89-005056920f9cgeonode:Flood_dem18Flood Regulation Demand 2018Flood Regulation Demand 2018floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a1bee432-a065-11ef-bc89-005056920f9cgeonode:Flood_sup_90Flood Regulation Supply 1990Flood Regulation Supply, 1990floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cc3cab94-a039-11ef-bc89-005056920f9cgeonode:Flood_sup_00Flood Regulation Supply 2000Flood Regulation Supply, 2000MALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=31a0bc8a-a03c-11ef-bc89-005056920f9cgeonode:Flood_sup_06Flood Regulation Supply 2006Flood Regulation Supply 2006floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4be23b86-a03d-11ef-bc89-005056920f9cgeonode:Flood_sup_12Flood Regulation Supply 2012Flood Regulation Supply 2012MALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ea07796a-a03e-11ef-bc89-005056920f9cgeonode:Flood_sup_18Flood Regulation Supply 2018Flood Regulation Supply 2018MALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=792ca124-a03f-11ef-bc89-005056920f9cgeonode:Flood_sup_22Flood Regulation Supply 2022Flood Regulation Supply 2022floodMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=058c6870-a040-11ef-bc89-005056920f9cgeonode:Flood_Demand_Flood protection area demand in floodplain and coastal risk areas (2018)Area for flood protection (1.1.1. Continuous urban fabric, 1.1.2. Discontinuous urban fabric, 1.2.1. Industrial and commercial units, 1.2.2. Road and rail networks and associated land, 1.2.3. Port areas, 1.2.4. Airports, 1.3.1. Mineral extraction sites, 1.3.2. Dump sites, 1.3.3. Construction sites and 1.4.2. Sport and leisure facilities) in floodplain risk areas. Floodplain risk areas have the probability to be affected one time per thousand years (returning period). Floodplain and coastal risk areas from Lithuanian Environmental Protection Agency and land use from Corine Land Cover 2018.Demandurn:x-ogc:def:crs:EPSG:303520.60563216488474 53.7034038314819627.08824711125419 56.75295655935475http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=96ff8eb2-1e6a-11e9-adff-005056920f9cgeonode:FDFinalFlood protection demand in floodplain and coastal risky areas at eldership level (2018)Build up areas (1.1.1. Continuous urban fabric, 1.1.2. Discontinuous urban fabric, 1.2.1. Industrial and commercial units, 1.2.2. Road and rail networks and associated land, 1.2.3. Port areas, 1.2.4. Airports, Construction sites and 1.4.2. Sport and leisure facilities) in floodplain and coastal risky areas at eldership level. Floodplain and coastal risk areas have the probability to be flooded one time per thousand years (returning period). Floodplain and coastal risky areas data from from Lithuanian Environmental Protection Agency and land use data from Corine Land Cover 2018.Flood_area_protectionurn:x-ogc:def:crs:EPSG:303520.576225320881125 53.65096417822107427.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=267c8ab6-24df-11e9-adff-005056920f9cgeonode:Grass_Supp0Grassland supply per eldership (2012)Grassland supply in ha (2.3.1. pastures and 3.2.1. natural grassland} per municipality in Lithuania. Pastures and grassland data are from corine land cover 2012 (Copernicus). Data in ha per eldership.
Classes were carried out according to Quantile interval. Data in ha per municipality.Grassland_Supplyurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fa40f242-1b57-11e9-adff-005056920f9cgeonode:Grass_SuppGrassland supply per eldership (2018)Grassland supply in ha (2.3.1. pastures and 3.2.1. natural grassland} per municipality in Lithuania. Pastures and grassland data are from corine land cover 2018 (Copernicus). Data in ha per eldership.
Classes were carried out according to Quantile interval. Data in ha per municipality.Grassland_Supplyurn:x-ogc:def:crs:EPSG:466920.9540670000083 53.89666899948826.8356224999899 56.4503709995068http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d3b88238-1b49-11e9-adff-005056920f9cgeonode:Grassland_SupplyGrassland supply per municipality (2012)Grassland supply in ha (2.3.1. pastures and 3.2.1. natural grassland} per municipality in Lithuania. Pastures and grassland data are from corine land cover 2012 (Copernicus). Data in ha per municipality.
Classes were carried out according to Quantile interval. Data in ha per municipality.Grassland_Supplyurn:x-ogc:def:crs:EPSG:466920.9540670000083 53.89666899948826.8356224999899 56.4503709995068http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5ef54b44-ecdb-11e8-adff-005056920f9cgeonode:MunGrassland supply per municipality (2018)Grassland supply in ha (2.3.1. pastures and 3.2.1. natural grassland} per municipality in Lithuania. Pastures and grassland data are from corine land cover 2018 (Copernicus). Data in ha per municipality.
Classes were carried out according to Quantile interval. Data in ha per municipality.Grassland_Supplyurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=4309f950-1b45-11e9-adff-005056920f9cgeonode:WHD_Ground and surface water demand for drinking purposesAverage (2012-2016) ground and surface water consumption in households according to the urban fabric (1.1.1. Continuous urban fabric and 1.1.2. Discontinuous urban fabric from Corine land cover 2018) area and the population per municipality in 2018. The index of household water demand was calculated according to the formula of Kroll et al. (2012):
(WD_pop X POP)/A_urban =W/A_urban
Where, WDpop is the household consumption in m3 per municipality, POP the population of the municipality and A_urban, the urban fabric area at each municipality. Classes were carried out according to Quantile interval.Territorial Watersurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=51c7b97c-1e61-11e9-adff-005056920f9cgeonode:Shape0Ground and surface water demand for non-drinking purposesAverage (2012-2016) ground and surface water consumption for non-drinkable purposes (Industry, energy, agricultural and fisheries) at municipal level. Data in m3. Classes were carried out according to Quantile interval.TerrestrialTerritorial WatersDemandurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c4808932-ee3f-11e8-adff-005056920f9cgeonode:Grnd_sup_00Groundwater Recharge Supply 2000Groundwater Recharge Supply 2000MALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2d7366d2-9fbd-11ef-bc89-005056920f9cgeonode:Grnd_sup_06Groundwater Recharge Supply 2006Groundwater Recharge Supply 2006MALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=112c41f0-9fbe-11ef-bc89-005056920f9cgeonode:Grnd_sup_18Groundwater Recharge Supply 2018Groundwater Recharge Supply 2018MALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=66279a78-9fbf-11ef-bc89-005056920f9cgeonode:Grnd_sup_22Groundwater Recharge Supply 2022Groundwater Recharge Supply 2022MALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=15a3b57c-9fc0-11ef-bc89-005056920f9cgeonode:Grnd_sup_12Groundwater Supply 2012Groundwater Supply 2012MALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d061d102-9fbe-11ef-bc89-005056920f9cgeonode:Grnd_h2o_dem90_22Groundwater recharge demand 1990No abstract providedMALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=69b2b65e-9fb1-11ef-bc89-005056920f9cgeonode:Grnd_h2o_dem00Groundwater recharge demand 2000No abstract providedMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d278648c-9fb5-11ef-bc89-005056920f9cgeonode:Grnd_h2o_dem06Groundwater recharge demand 2006No abstract providedMALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=654a8abe-9fb7-11ef-bc89-005056920f9cgeonode:Grnd_h2o_dem12Groundwater recharge demand 2012No abstract providedMALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b1198d22-9fb8-11ef-bc89-005056920f9cgeonode:Grnd_h2o_dem18Groundwater recharge demand 2018No abstract providedMALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=bc6d50ae-9fb9-11ef-bc89-005056920f9cgeonode:Grnd_h2o_dem22Groundwater recharge demand 2022No abstract providedMALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=67d99f1a-9fba-11ef-bc89-005056920f9cgeonode:Grnd_sup_90Grounswater recharge supply 1990Groundwater recharge supply for 1990MALPESGroundwaterurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7d600098-9fbc-11ef-bc89-005056920f9cgeonode:Her_dem90Heritage Demand 1990-2000Heritage Demand 1990-2000MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=62aa6122-a13c-11ef-bc89-005056920f9cgeonode:Her_dem00Heritage Demand 2000-2006Heritage Demand 2000-2006MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=341df5a2-a13d-11ef-bc89-005056920f9cgeonode:Her_dem06Heritage Demand 2006-2012Heritage Demand 2006-2012MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=ca4fda90-a13d-11ef-bc89-005056920f9cgeonode:Her_dem12_18Heritage Demand 2012-2018Heritage Demand 2012-2018MALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=938002be-a13e-11ef-bc89-005056920f9cgeonode:Her_dem18_22Heritage Demand 2018-2022Heritage Demand 2018-2022MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7a1d4448-a13f-11ef-bc89-005056920f9cgeonode:Her_sup90_00Heritage Supply 1990-2000Heritage Supply 1990-2000MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=63f73852-a196-11ef-bc89-005056920f9cgeonode:Her_sup_00_06Heritage Supply 2000-2006Heritage Supply 2000-2006MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fcc2a002-a197-11ef-bc89-005056920f9cgeonode:Her_sup_06_12Heritage Supply 2006-2012Heritage Supply 2006-2012MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=cd93fd66-a198-11ef-bc89-005056920f9cgeonode:Her_sup_12_18Heritage Supply 2012-2018Heritage Supply 2012-2018MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e7472142-a199-11ef-bc89-005056920f9cgeonode:Her_sup_18_22Heritage Supply 2018-2022Heritage Supply 2018-2022MALPESHeritageurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=af477ca4-a19b-11ef-bc89-005056920f9cgeonode:Livestock_demandLivestock demandAverage (2005-2016) number of livestock (Cattle, dairy cows, pigs, sheep, goats and horses) per municipality. Livestock data is from the Lithuanian statistical portal (2018). Classes were carried out according to Quantile interval.Livestock_demandDemandurn:x-ogc:def:crs:EPSG:466920.9540670000083 53.89666899948826.8356224999899 56.4503709995068http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e74abe5a-ecd8-11e8-adff-005056920f9cgeonode:BFor2018_eldMediation of waste, toxics, and other nuisances (Filtration/ sequestration/ storage/accumulation by ecosystems) at eldership level (2018)Percentage of area occupied by riparian forests and woodland (3.1.1. Broad-leaved forest, 3.1.2. Coniferous forest, 3.1.3. Mixed forest, 3.2.1. and 3.2.4. Transitional woodland shrub) in a buffer strip of 25 meters at eldership level. Data expressed in percent. Land use data from Corine Land Cover 2018 and water courses from Lithuanian cadastre. Classes were carried out according to Quantile interval.Wasteurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7e43269c-2895-11e9-adff-005056920f9cgeonode:Med_wastes_drvchCMediation of waste, toxics, and other nuisances (Filtration/ sequestration/ storage/accumulation by ecosystems) change between 1990-2018 at eldership levelPercentage of area occupied by riparian forests and woodland (3.1.1. Broad-leaved forest, 3.1.2. Coniferous forest, 3.1.3. Mixed forest, 3.2.1. and 3.2.4. Transitional woodland shrub) in a buffer strip of 25 meters at eldership level. Data expressed in percent. Land use data from Corine 1990 and 2018, and water courses from Lithuanian cadastre. Data in %.Drivers of ChangeMedWastes_drichurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.219318862826317 56.81711050028262http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7bc3fb8c-fee9-11e9-8c53-005056920f9cgeonode:Sand_PotentialMineral (sand) extraction potential in the Lithuanian EEZThe potential of mineral (sand) extraction was mapped by matching the sediment substrate found in the known wxtraction sites against the seabed sediment distribution in the Lithuanian EEZ. The location of the official sand extraction sites and seabed sediment map was retrieved from the EMODnet Geology “Marine Minerals” and “Seabed Substrates” data products.MarineSand_Potentialurn:x-ogc:def:crs:EPSG:303518.920755900534214 55.3134755733021921.227008950475646 56.15749691281974http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5eea3950-0a0f-11ea-8c53-005056920f9cgeonode:Sand_supplyMineral (sand) extraction supply in the Lithuanian EEZIn the Lithuanian EEZ, there are two official locations where mineral (sand) is extracted from the seabed. The two areas are located in the northern and southern part of the EEZ at a depth of 30 and 40 meters. The location of the extraction sites was obtained through Emodnet Geology (2019) which acquire the data from the Lithuanian Geological Survey.MarineSand_supplyurn:x-ogc:def:crs:EPSG:303520.433570220919105 55.4286569885678621.11624825626888 56.03082607107045http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d033569c-0a13-11ea-8c53-005056920f9cgeonode:PolinationPollination demandProportion of arable crops demanding insect pollination (2.1.1. Non-irrigated arable land, 2.2.2. Fruit trees and berry plantations, 2.4.2. Complex cultivation patterns and 2.4.3. Land principally occupied by agriculture, with significant areas of natural vegetation). Land use data from Corine Land Cover 2018. Classes were carried out according to Quantile interval.PollinationDemandurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a76a966c-7ad5-11e9-adff-005056920f9cgeonode:Flood_Supply_RatioRatio of effective flood retention area in floodplains and coastal risky areas at eldership level (2018)Ratio between area between flood protection area supply in flood plain and coastal risky areas (1.4.1. Green urban areas, 2.2.2. Fruit trees and berry plantations 2.3.1. Pastures; 2.4.2. Complex cultivation patterns; 2.4.3. Land principally occupied by agriculture, with significant areas of natural vegetation; 3.1.1. Broad-leaved forest, 3.1.2. Coniferous forest, 3.1.3. Mixed forest, 3.2.1. Natural grassland, 3.2.2. Moors and heathland, 3.2.4. Transitional woodland shrub, 3.3.1. Beaches, dunes, and sand plains, 3.3.3. Sparsely vegetated areas, 4.1.1. Inland marshes and 4.1.2. Peatbogs) and the total flooded area at Eldership level. Floodplain risk areas have the probability to be affected one time per thousand years (returning period). Floodplain and coastal risk areas from Lithuanian Environmental Protection Agency and land use from Corine Land Cover 2018.Flood_area_protectionurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=bf46b206-2342-11e9-adff-005056920f9cgeonode:Rec_dem90Recreation Demand 1990Recreation Demand 1990recreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5c5635f8-a11e-11ef-bc89-005056920f9cgeonode:Red_dem00Recreation Demand 2000Recreation Demand 2000recreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2f2e7d72-a120-11ef-bc89-005056920f9cgeonode:Rec_dem06Recreation Demand 2006Recreation Demand 2006RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9cd46c7c-a122-11ef-bc89-005056920f9cgeonode:Rec_dem12Recreation Demand 2012Recreation Demand 2012RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=57dd4bfa-a124-11ef-bc89-005056920f9cgeonode:Rec_dem120Recreation Demand 2018Recreation Demand 2018RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=38bb2a20-a125-11ef-bc89-005056920f9cgeonode:Rec_dem22Recreation Demand 2022Recreation Demand 2022RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=82d825f8-a126-11ef-bc89-005056920f9cgeonode:Rec_sup90Recreation Supply 1990Recreation Supply 1990RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=913e9c60-a128-11ef-bc89-005056920f9cgeonode:Rec_sup00Recreation Supply 2000Recreation Supply 2000RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2f3ef984-a12c-11ef-bc89-005056920f9cgeonode:Rec_sup06Recreation Supply 2006Recreation Supply 2006MALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=5c8cc2e8-a133-11ef-bc89-005056920f9cgeonode:Rec_sup12Recreation Supply 2012Recreation Supply 2012RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=58dc1f88-a136-11ef-bc89-005056920f9cgeonode:Rec_sup18Recreation Supply 2018Recreation Supply 2018RecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b4c3c34e-a138-11ef-bc89-005056920f9cgeonode:Rec_sup22Recreation Supply 2022No abstract providedRecreationMALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=80236d90-a13a-11ef-bc89-005056920f9cgeonode:RecreationRecreation demand at eldership levelRecreation demand in Lithuania at eldership level. Kernel density was applied to the residential buildings distribution in Lithuania. Subsequently, zonal statistics method was applied in order to calculate the mean building density per eldership. Residential buildings distribution was used as a proxy to estimate recreation demand. Residential buildings data from Lithuanian cadastre. Data in Km/Km2. Classes were carried out according to Quantile interval.Recreationurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=6ef29dda-e6ea-11e9-8c53-005056920f9cgeonode:Soil_dem_90Soil Erosion Demand 1990Soil Erosion Demand 1990MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c7bb0be8-a114-11ef-bc89-005056920f9cgeonode:Soil_dem_00Soil Erosion Demand 2000Soil Erosion Demand 2000MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7a0e6fc4-a115-11ef-bc89-005056920f9cgeonode:Soil_dem_06Soil Erosion Demand 2006Soil Erosion Demand 2006MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=e2b2989c-a116-11ef-bc89-005056920f9cgeonode:Soil_dem_12Soil Erosion Demand 2012Soil Erosion Demand 2012MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=af715116-a117-11ef-bc89-005056920f9cgeonode:Soil_dem_18Soil Erosion Demand 2018Soil Erosion Demand 2018MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fa1d6c12-a118-11ef-bc89-005056920f9cgeonode:Soil_dem_22Soil Erosion Demand 2022Soil Erosion Demand 2022MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=b5c46f38-a119-11ef-bc89-005056920f9cgeonode:Soil_er_90Soil Erosion Regulation Supply 1990Soil Erosion Regulation Supply 1990MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=88f551dc-a076-11ef-bc89-005056920f9cgeonode:Soil_er_00Soil Erosion Regulation Supply 2000Soil Erosion Regulation Supply 2000MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d02fd8f0-a077-11ef-bc89-005056920f9cgeonode:Soil_er_06Soil Erosion Regulation Supply 2006Soil Erosion Regulation Supply 2006MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=89b0e3c8-a078-11ef-bc89-005056920f9cgeonode:Soil_er_12Soil Erosion Regulation Supply 2012Soil Erosion Regulation Supply 2012MALPESurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2b149bec-a079-11ef-bc89-005056920f9cgeonode:Soil_er_18Soil Erosion Regulation Supply 2018Soil Erosion Regulation Supply 2018MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=72564a5e-a07a-11ef-bc89-005056920f9cgeonode:Soil_er_22Soil Erosion Regulation Supply 2022Soil Erosion Regulation Supply 2022MALPESerosionurn:x-ogc:def:crs:EPSG:303520.695080087753965 53.84094996627247626.58291045893246 56.54153775510771http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2e7493d8-a07d-11ef-bc89-005056920f9cgeonode:H2O_dem_90Surface Water demand 1990Water demand in Protected Areas 1990MALPESurn:x-ogc:def:crs:EPSG:303520.671610833910012 53.8409499671507126.582910458949772 56.54370642952675http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=06bd30a2-7b2a-11ef-bc89-005056920f9cgeonode:H2O_dem_00Surface Water demand 2000No abstract provided Water demand in NRPs for 2000MALPESurn:x-ogc:def:crs:EPSG:303520.671610833910012 53.8409499671507126.582910458949772 56.54370642952675http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=efdd9adc-7b30-11ef-bc89-005056920f9cgeonode:H2O_dem_06Surface Water demand 2006Water demand in NRPs for 2006MALPESurn:x-ogc:def:crs:EPSG:303520.671610833910012 53.8409499671507126.582910458949772 56.54370642952675http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=23b78102-7b35-11ef-bc89-005056920f9cgeonode:H2O_dem_12Surface Water demand 2012Water demand in NRPs for 2012MALPESurn:x-ogc:def:crs:EPSG:303520.671610833910012 53.8409499671507126.582910458949772 56.54370642952675http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=292eabf0-7b36-11ef-bc89-005056920f9cgeonode:H2O_dem_18Surface Water demand 2018Water demand in NRPs for 2018MALPESurn:x-ogc:def:crs:EPSG:303520.671610833910012 53.8409499671507126.582910458949772 56.54370642952675http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f0197fec-7b36-11ef-bc89-005056920f9cgeonode:H2O_dem_22Surface Water demand 2022Water demand in NRPs for 2022MALPESurn:x-ogc:def:crs:EPSG:303520.671610833910012 53.8409499671507126.582910458949772 56.54370642952675http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=911b249a-7b37-11ef-bc89-005056920f9cgeonode:H2O_surf_sup90Surface water supply in NRPs for 1990Surface water supply in NRPs for 1990MALPESurn:x-ogc:def:crs:EPSG:303520.67161083395586 53.84094996627245426.582910458932616 56.54370642867354http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=2fa2b232-7b50-11ef-bc89-005056920f9cgeonode:H2O_surf_sup00Surface water supply in NRPs for 2000Surface water supply in NRPs for 2000MALPESurn:x-ogc:def:crs:EPSG:303520.67161083395586 53.84094996627245426.582910458932616 56.54370642867354http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=dad84b9e-7b50-11ef-bc89-005056920f9cgeonode:H2O_surf_sup06Surface water supply in NRPs for 2006Surface water supply in national and regional parks for 2006MALPESurn:x-ogc:def:crs:EPSG:303520.67161083395586 53.84094996627245426.582910458932616 56.54370642867354http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=68e1fbb0-7b51-11ef-bc89-005056920f9cgeonode:H2O_surf_sup12Surface water supply in NRPs for 2012Surface water supply in national and regional parks for 2012MALPESurn:x-ogc:def:crs:EPSG:303520.67161083395586 53.84094996627245426.582910458932616 56.54370642867354http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=fc5b1a84-7b51-11ef-bc89-005056920f9cgeonode:H2O_surf_sup18Surface water supply in NRPs for 2018Surface water supply in national and regional parks for 2018MALPESurn:x-ogc:def:crs:EPSG:303520.67161083395586 53.84094996627245426.582910458932616 56.54370642867354http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7ff4ac70-7b52-11ef-bc89-005056920f9cgeonode:H2O_surf_sup22Surface water supply in NRPs for 2022Surface water supply in national and regional parks for 2022MALPESurn:x-ogc:def:crs:EPSG:303520.67161083395586 53.84094996627245426.582910458932616 56.54370642867354http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=a336bae6-7b6d-11ef-bc89-005056920f9cgeonode:Timber_demand_GeonodeTimber demandNumber of companies operating (2018) according to the forest area for exploitation (2018) per municipality. The timber demand index calculated is a modified version of the formulas proposed by Kroll et al.(2012):
(WP X NC) / FAE
where, WP is the wood production (average 2013-2017), NC is ithe number of companies, and FAE the forest area allowed for exploitation at each municipality. Data in m3 per ha. Classes were carried out according to Quantile interval.TimberDemandurn:x-ogc:def:crs:EPSG:466920.9540670000083 53.89666899948826.8356224999899 56.4503709995068http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=9f3c9d86-fba6-11e8-adff-005056920f9cgeonode:ShapeTimber supplyAverage (2012-2016) stand productivity per municipality. Stand productivity is the ratio of wood production (m3) per stand dimension in hectares (ha). Data in m3 per ha. Classes were carried out according to Quantile interval.Timberurn:x-ogc:def:crs:EPSG:466920.9540670000083 53.89666899948826.8356224999899 56.4503709995068http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=be8021ac-ecd5-11e8-adff-005056920f9cgeonode:Fish_consumptionWild seafood demand at eldership levelWild seafood demand was calculated from the average (2009-2019) of fish consumption per capita at eldership level.
The average fish consumption was multiplied by the number of residents in the different elderships in 2013.
Fish consumption per capita and Census 2013 data extracted from Lithuanian Official Statistics Portal, 2013 and Official Lithuanian Statistics Department 2019. Data in kg/eldership. Classes were carried out according to Natural jenks interval.MarineFish_consumptionurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.21931886282636 56.817110500282716http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=030b02f0-0077-11ea-8c53-005056920f9cgeonode:PotentialWild seafood potential for the Lithuanian Exclusive Economic ZoneWild seafood potential was calculated from the modeled probability of occurrence of prey items of two important fish species in Lithuania: cod and flounder.
Prey item composition was extracted from Šiaulys et al. (2012) and the occurrence of prey items extracted from Gogina et al. (2016). To map the probable occurrence of prey items the Maxent model Phillips et al. (2006) was applied for each species individually and then averaged together in the raster calculator tool of ArcGis. The environmental descriptors used in Maxent were extracted from BALANCE MODEL (Al-Hamdani and Reker, 2007; Bendtsen et al., 2007) and IOW Topographic maps from Seifert et al. (2011).
Classes were carried out according to Natural jenks interval.FisheriesMarineurn:x-ogc:def:crs:EPSG:303518.911916133914293 55.27425099506600521.246952891492306 56.22396212247646http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=65521eb2-009a-11ea-8c53-005056920f9cgeonode:supply_clipWild seafood supply for the Lithuanian Exclusive Economic ZoneWild seafood supply was calculated from the cumulative average of fishing effort, fishing intensity and fishing ship density in the Lithuanian Exclusive Economic Zone.
Fishing intensity and fishing ship density data was extracted from HELCOM (2018) and fishing effort from ICES (2015). Fishing intensity was averaged for the available years and fishing gear types (2006-2016), rasterized and resampled to 20 m resolution using ArcGis. Fishing effort was averaged for the available years and fishing gear types (2009-2013), rasterized and resampled to 20 m resolution using ArcGis. Fishing ship density was averaged for the available years (2006-2016) and resampled to 20 m resolution using ArcGis. Classes were carried out according to Natural jenks interval.FisheriesMarineurn:x-ogc:def:crs:EPSG:303518.91782753055086 55.2753196074756421.235676298650816 56.18334037841623http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=f65068de-008f-11ea-8c53-005056920f9cgeonode:WEldWind energy (Potential)Wind energy was measured using the annual average wind velocity (1971-2000) data from Worldclim (1km resolution). Using Zonal statistics, the index calculated was extracted at eldership level (average). Classes were carried out according to natural breaks interval.
Annual average wind velocity data from:
http://worldclim.org/version2EnergyWindurn:x-ogc:def:crs:EPSG:303520.56415915718929 53.6046361609761927.219318862826317 56.81711050028262http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=7dec3dac-1488-11ea-8c53-005056920f9cgeonode:vl_cropProdES_1989_vl_cropProdES_1989vl_cropProdES_1989_vl_cropProdES_1989No abstract providedfeaturesvl_cropProdES_1989_vl_cropProdES_1989urn:x-ogc:def:crs:EPSG:334624.39463607225975 54.3793195363160125.78284648306086 55.052071036532915http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=42a13188-25db-11f1-bc8a-005056920f9cgeonode:vl_cropProdES_2050_s2_ssp1_vl_cropProdES_2050vl_cropProdES_2050_s2_ssp1_vl_cropProdES_2050No abstract providedfeaturesvl_cropProdES_2050_s2_ssp1_vl_cropProdES_2050_s2_ssp1urn:x-ogc:def:crs:EPSG:334624.402472719956545 54.37770289557915525.782858450378214 55.05231401145504http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=8cc5d1b6-25da-11f1-bc8a-005056920f9cgeonode:vl_cropProdES_2050_s2_ssp2_vl_cropProdES_2050vl_cropProdES_2050_s2_ssp2_vl_cropProdES_2050No abstract providedfeaturesvl_cropProdES_2050_s2_ssp2_vl_cropProdES_2050_s2_ssp2urn:x-ogc:def:crs:EPSG:334624.394752360656966 54.3742948622947325.789876748014223 55.05565074146811http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=d9c068b0-25d9-11f1-bc8a-005056920f9cgeonode:vl_cropProdES_2050_s2_ssp5_vl_cropProdES_2050vl_cropProdES_2050_s2_ssp5_vl_cropProdES_2050No abstract 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55.05237884091213http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=c0e0cd32-25d7-11f1-bc8a-005056920f9cgeonode:vl_microClimRegES_2050_s0_ssp1_outvl_microClimRegES_2050_s0_ssp1_outNo abstract providedfeaturesvl_microClimRegES_2050_s0_ssp1_outurn:x-ogc:def:crs:EPSG:334624.392773882376243 54.3777965913709125.782892729128836 55.05237884091213http://linesam.mruni.eu/catalogue/csw?outputschema=http%3A%2F%2Fwww.opengis.net%2Fcat%2Fcsw%2Fcsdgm&service=CSW&request=GetRecordById&version=2.0.2&elementsetname=full&id=0ddade08-25d7-11f1-bc8a-005056920f9cgeonode:vl_microClimRegES_2050_s0_ssp2_outvl_microClimRegES_2050_s0_ssp2_outNo abstract providedfeaturesvl_microClimRegES_2050_s0_ssp2_outurn:x-ogc:def:crs:EPSG:334624.392773882376243 54.3777965913709125.782892729128836 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