| snippet:
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The concept of High Nature Value (HNV) farmland ties together biodiversity to the continuation of farming on certain types of land and the maintenance of specific farming systems. The HNV farmland map aims to gain a better insight into the distribution and extent of farmland that holds a special biodiversity value, and to develop a more effective tool for carrying out further analyses on spatial and time trends.
The objective of the HNV farmland maps produced by EEA is to estimate the presence likelihood of HNV farmland within Europe using existing Europe-wide datasets. Hence, the dataset is based on the CLC accounting layers as main data source. In comparison to previous EEA HNV farmland mapping exercises the revised mapping approach also makes use of High Resolution Layers for spatial refinement and data from the JRC CAPRI model allows assessment of intensity in terms of Nitrogen input. Further, semi-natural CLC-classes as proxy for extended grazing areas are taken into account by individual grazing shares. The results are published in aggregated 1 x 1 km grids representing the likelihood of HNV presence in values ranging from 0 to 100. The EEA points out that the existing datasets may have drawbacks for HNV farmland identification and recommends therefore that the map be used as a proxy for the distribution of HNV farmland at European level appropriate for assessment purposes only. |
| summary:
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The concept of High Nature Value (HNV) farmland ties together biodiversity to the continuation of farming on certain types of land and the maintenance of specific farming systems. The HNV farmland map aims to gain a better insight into the distribution and extent of farmland that holds a special biodiversity value, and to develop a more effective tool for carrying out further analyses on spatial and time trends.
The objective of the HNV farmland maps produced by EEA is to estimate the presence likelihood of HNV farmland within Europe using existing Europe-wide datasets. Hence, the dataset is based on the CLC accounting layers as main data source. In comparison to previous EEA HNV farmland mapping exercises the revised mapping approach also makes use of High Resolution Layers for spatial refinement and data from the JRC CAPRI model allows assessment of intensity in terms of Nitrogen input. Further, semi-natural CLC-classes as proxy for extended grazing areas are taken into account by individual grazing shares. The results are published in aggregated 1 x 1 km grids representing the likelihood of HNV presence in values ranging from 0 to 100. The EEA points out that the existing datasets may have drawbacks for HNV farmland identification and recommends therefore that the map be used as a proxy for the distribution of HNV farmland at European level appropriate for assessment purposes only. |
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thumbnail/thumbnail.png |
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["ArcGIS","ArcGIS Server","Data","Map Service","Service"] |
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|
| title:
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WMS_HNV_2006_LAEA |
| type:
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Map Service |
| url:
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| tags:
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["Agriculture","grazing","biodiversity"] |
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en-GB |
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WMS_HNV_2006_LAEA_mod |
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ETRS89_ETRS_LAEA |