<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20230322</CreaDate>
<CreaTime>17034100</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
<MapLyrSync>TRUE</MapLyrSync>
</Esri>
<dataIdInfo>
<idCitation>
<resTitle>Grassland_intensification_LCF_2006_2012</resTitle>
</idCitation>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The map describes different aspects of intensification of agroecosystems related to the management practices. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;The dataset represents a pressure trend indicator that is the share of grassland &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;SPAN&gt;&lt;SPAN&gt;area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The LCF were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions. The next LCF were selected:&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;- LCF522: Diffuse conversion from semi-natural land to agriculture: Conversion from dry semi-natural land (except CLC324, grouped with forests) to pasture and mixed agriculture with pasture.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;- LCF463: Diffuse conversion from pasture to arable and permanent crops: Conversion from complex cultivation patterns including pasture (CLC242) to uniform arable land and permanent crops as well as to associations of the last two (CLC241) and conversion of uniform pasture (CLC231) to complex cultivation patterns.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;An intensification raster was created using the CLC change layer and a lookup table for the related land cover changes. On the other side, a grassland layer was created as reference area for the calculation of the share of changes on the respective land cover type. The shares are calculated after summarizing at NUTS3 level, leading to the percentage of LCF change per specific land cover type.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="text-align:Justify;margin:8 0 8 0;"&gt;&lt;SPAN&gt;https://forum.eionet.europa.eu/etc-urban-land-and-soil-systems/library/action-plan-2016/1.8.2.2-land-resource-efficiency&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;</idAbs>
<searchKeys>
<keyword>Land</keyword>
<keyword>Cover</keyword>
<keyword>Land</keyword>
<keyword>USe</keyword>
<keyword>CAP</keyword>
<keyword>grassland</keyword>
</searchKeys>
<idPurp>https://sdi.eea.europa.eu/catalogue/srv/api/records/8a10c132-d5c1-456f-a24c-be42d414e878</idPurp>
<idCredit>© Service Copyright EEA Copenhagen</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>
