Keyword

grasland

11 record(s)
 
Type of resources
Metadata standard
standardName
Available actions
flanderskeyword
Provided by
status
Topics
Keywords
Contact for the resource
Years
Formats
Representation types
Update frequencies
Scale 1:
Resolution
INSPIRE themes
From 1 - 10 / 11
  • Voor de omschrijving van ecologische doelen in natuurbeheerplannen worden ‘natuurstreefbeelden’ gebruikt. Een natuurstreefbeeld is een habitat, een ecosysteem of een landschapstype dat als ecologisch einddoel in een natuurbeheerplan wordt vooropgesteld. De natuurstreefbeelden waaruit gekozen kan worden om te voldoen aan de voorwaarden voor natuurbeheerplannen van type twee, drie of vier worden vastgelegd in bijlage 3 van het BVR natuurbeheerplannen, te vinden via deze link: https://www.natuurenbos.be/sites/default/files/inserted-files/lijst_met_natuurstreefbeelden.pdf Er zijn drie types natuurstreefbeelden: Natuurstreefbeelden vegetaties Natuurstreefbeelden leefgebieden soorten Natuurstreefbeelden procesgestuurde natuur Meer info over natuurstreefbeelden is te vinden op ecopedia via deze link: https://www.ecopedia.be/pagina/natuurstreefbeelden

  • De GIS-laag bevat alle historisch permanente graslanden (HPG) en alle permanente graslanden (in VEN) in Vlaanderen die beschermd zijn door de natuurwetgeving, zij het door een verbod , zij het door vergunningsplicht voor het wijzigen van deze graslanden (art. 7 en 8 van het BVR van 23/07/1998 voor de historisch permanente graslanden, artikel 25§3 ten 2e van het Natuurdecreet en artikel 6 van het maatregelenbesluit voor de permanente graslanden gelegen in VEN). Binnen de landbouwstreek de polder werden de historisch permanente graslanden en hun beschermingsstatus vastgelegd door de VR op 27/11/2015. Buiten de landbouwstreek de polder heeft de VR de HPG niet juridisch verankerd op kaart, zodat het hier louter om een informatieve kaart gaat. Buiten de landbouwstreek de Polder werd de biologische waarderingskaart conform het BVR van 23/07/1998 (Bijlage IV en V) gebruikt als basis voor de aanduiding van de graslanden, gecorrigeerd met de teeltplannen van de verzamelaanvraag landbouw voor de periode 2011-2016. De HPG waarvoor een verbod geldt voor het wijzigen van het grasland zijn aangeduid in het rood, deze waarvoor een vergunningsplicht geldt zijn aangeduid in oranje kleur. De graslanden die enkel onder de ecologisch kwetsbaar blijvende graslanden (EKBG) regelgeving van landbouw vallen worden aangeduid met een rode arcering in stippellijn. De beschermingsstatus kan geraadpleegd worden in het veld “statuut” en op basis van de hiervoor genoemde kleurlegendes. Volgende beschermingsstatussen komen voor : • Verbod (rood): beschermd door de natuurwetgeving (HPG door artikel 7 BVR van 23/07/1998, permanente graslanden door het artikel 25 natuurdecreet en artikel 6 van het maatregelenbesluit): verboden te wijzigen, zowel mechanisch, chemisch als door afbranden, evenals verbod op wijzigen reliëf en verbod op doorzaaien • Vergunning (oranje): beschermd door de natuurwetgeving (artikel 8 BVR van 23/07/1998): natuurvergunningsplicht voor het wijzigen, zowel mechanisch, chemisch als door afbranden evenals voor het wijzigen van het reliëf en het doorzaaien. • EKBG (rode arcering in stippellijn): beschermd door de landbouwwetgeving (EKBG): wijziging verboden zowel voor het mechanisch wijzigen als het wijzigen van het reliëf. Het veld “basis_statuut” geeft de juridische basis weer waarop de bescherming berust van de HPG en de permanente graslanden en de liggingen in gewestplanbestemmingen en overdrukken (habitatrichtlijn, vogelrichtlijn, beschermd landschap, VEN). Het veld “beperkingen” geeft weer welke bewerkingen verboden of vergunningsplichtig zijn.

  • The Belgian soil organic carbon (SOC) stock maps for topsoils (0-30 cm) were composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a finer resolution (10m x 10m and 40m x 40m grid cells). Next they were joined (40m x 40m grid cells) and finally scaled up to the required 1 by 1 km grid cells. This was done using the following tools: block statistics (mean), mosaic to new raster (mean), project to raster, block statistics (mean), resample (nearest neighbour) and project raster. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The SOC stock maps are the first comprehensive maps for Belgium integrating grasslands, croplands and forests. There are two versions of the SOC stock maps for Belgium: 1) resolution of 40m x 40m in the coordinate reference system Lambert72 and 2) resolution of 1km x 1km in the coordinate reference system WGS84. The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps.

  • The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a finer resolution (10m x 10m and 40m x 40m grid cells). Next they were joined (40m x 40m grid cells) and finally scaled up to the required 1 by 1 km grid cells. This was done using the following tools: block statistics (mean), mosaic to new raster (mean), project to raster, block statistics (mean), resample (nearest neighbour) and project raster. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The SOC stock maps are the first comprehensive map for Belgium integrating grasslands, croplands and forests. There are two versions of the SOC stock maps for Belgium: 1) resolution of 40m x 40m in the coordinate reference system Lambert72 and 2) resolution of 1km x 1km in the coordinate reference system WGS84. The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps.

  • The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) at the resolution of 40m x 40m was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a fine resolution (10m x 10m grid cells for Flanders and 40m x 40m grid cells for Wallonia). Next they were joined (40m x 40m grid cells). The regional maps for Flanders were scaled up tot the 40m x 40m grid of Wallonia. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps. The SOC stock map (resolution of 40m x 40m) is the first comprehensive map for Belgium integrating grasslands, croplands and forests. Based on this map another SOC stock map at a resolution of 1km x 1km in the coordinate reference system WGS84 was created.

  • The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) at the resolution of 40m x 40m was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a fine resolution (10m x 10m grid cells for Flanders and 40m x 40m grid cells for Wallonia). Next they were joined (40m x 40m grid cells). The regional maps for Flanders were scaled up tot the 40m x 40m grid of Wallonia. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps. The SOC stock map (resolution of 40m x 40m) is the first comprehensive map for Belgium integrating grasslands, croplands and forests. Based on this map another SOC stock map at a resolution of 1km x 1km in the coordinate reference system WGS84 was created.

  • The Belgian soil organic carbon (SOC) stock map for topsoils (0-30 cm) was composed of 2 regional SOC stock maps. For the regional maps a different approach was used for agricultural land as compared to forest. The maps are based on digital soil mapping approaches using empirical models calibrated to predict the SOC stock and using covariates that are available at a sufficient resolution at the regional scale. All maps are strongly dependent on the Belgian Soil Map (texture and drainage parameters). The regional maps were compiled at a finer resolution (10m x 10m and 40m x 40m grid cells). Next they were joined (40m x 40m grid cells) and finally scaled up to the required 1 by 1 km grid cells. This was done using the following tools: block statistics (mean), mosaic to new raster (mean), project to raster, block statistics (mean), resample (nearest neighbour) and project raster. Given the different origin of the individual maps, the uncertainty varies between maps. For instance, a map of the 90% confidence interval of the SOC stocks was produced for agricultural soils in Wallonia based on a Monte Carlo Approach taking into account both the measurement and the model uncertainties. For Flemish forest soils, spatial and analytical uncertainties were taken into account using bootstrapping techniques. For Flemish agricultural soils, the uncertainty reported is the model uncertainty on point estimates for each data point, in which the estimated model parameters are simulated 1000 times as being independent normal distributed variables using their model estimation and standard error as distribution parameters. No additional uncertainty is taken into account for the conversion functions that use the stochastic variables "bulk density". The SOC stock maps are the first comprehensive map for Belgium integrating grasslands, croplands and forests. There are two versions of the SOC stock maps for Belgium: 1) resolution of 40m x 40m in the coordinate reference system Lambert72 and 2) resolution of 1km x 1km in the coordinate reference system WGS84. The metadata are available and allow assessing the uncertainties of the stock estimates in the different component maps.

  • De GIS-laag bevat de historisch permanente graslanden (HPG) in de landbouwstreek Polders, inclusief hun beschermingsstatuut, zoals goedgekeurd door de VR op 27/11/2015. Een deel van deze HPG is beschermd onder de natuurwetgeving (art. 7 en 8 van het BVR van 23/07/1998). De overige HPG zijn beschermd onder de landbouwwetgeving. De HPG die beschermd zijn onder de natuurwetgeving zijn eveneens beschermd onder de landbouwwetgeving. Het veld “status” geeft het beschermingsstatuut van de HPG aan. De HPG die onder de natuurwetgeving vallen zijn ofwel verboden te wijzigen (‘verbod’) ofwel vergunningsplichtig (‘vergunning’). De HPG die niet onder de natuurwetgeving vallen werden gebruikt als basis voor het aanduiden van het ecologisch kwetsbaar blijvend grasland (EKBG) onder de landbouwperceelsregistratie. Deze HPG zijn dus beschermd onder landbouwwetgeving. De HPG die onder de natuurwetgeving vallen werden eveneens als basis gebruikt voor het aanduiden van EKBG. Volgende codes komen voor in het veld status: - ‘verbod + EKBG’: HPG verboden te wijzigen onder natuurwetgeving en als basis gebruikt voor aanduiding EKBG - ‘vergunning + EKBG’: HPG vergunningsplicht voor het wijzigen onder natuurwetgeving en als basis gebruikt voor aanduiding EKBG - ‘EKBG’: HPG niet beschermd onder natuurwetgeving, als basis gebruikt voor aanduiden EKBG