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Soil Datasets > Data > Soil Projects Data > EFSA data

Introduction

A database of maps was created on the basis of the dataset provided by JRC (see Gardi et al., 2008). This dataset was supplemented with data from the CAPRI land cover database (Leip et al., 2008). JRC is acknowledged for making the data available in a common resolution and projection.

Map Properties
Common properties for the maps are:

Format: compressed ASCII grid
Reference system: ETRS 89 LAEA
Rows: 4098
Columns: 3500
Lower left: 2500000
Upper left: 1412000
Cell size: 1000
Unit: m
Nr of cells with a value: 3997812

Documentation
Report on the activities realized within the Service Level Agreement between JRC and EFSA: The activities realized in 2010 by JRC as support to the FATE and the ECOREGION EFSA PPR Working Groups are shortly described.

Download the data:

The data are provided as a raster (ASCII grid), in the ETRS89 Lambert Azimuthal Equal Area Co-ordinate System; Temporal coverage: 2008-2009.
To get access to the data, compile the online form; instructions will then follow how to download the data .


The following datasets (and Maps) are available:

Maps - Data

1. Masker of all files (EU27.asc)

mask This map is a mask created including all the EU-27 countries and the Corine land-use classes 1-38 and 49. Surface waters and coastal lagoons are excluded from the mask.

Legend
There is only one legend unit, i.e. 1 which means that the grid cell is included.

2. Countries of the EU-27 (countries.asc)

mask The map shows the countries of the EU-27. It was obtained by masking the NUTS level 0 map with the mask EU27.

Legend
Get the Legend explanation file.

3. Regulatory zones (zones.asc)

mask This map shows the regulatory zones of the EU-27. The map is a reclassification of the map countries.map.

Legend
1: North (Includes Countries: 17, 20, 24, 48, 50 and 67)
2: Centre (Includes Countries: 5, 8, 16, 34, 35, 49, 58, 61, 64, 68, 70 and 78)
3: South (Includes Countries: 1, 9, 23, 26, 31, 41 and 62)

4. Corine land cover data (CLC2000.asc)

The map shows all the possible land use classes at the Corine map. The map presented here is at a resolution of 1x1 km2, the original map was at a resolution of 0.25 km2. For each 1x1 km2 grid cell, the dominant of the four underlying grid cells was taken. The dataset is described in Nunes de Lima (2005).

Legend
Get the Legend explanation file.

5. Generalised land-use map (landuse.asc)

mask The generalised land-use map is a reclassification of the Corine 2000 land-use map. It is created to distinguish the most important land-use types. Land use class 1 serves as the masker in EFSA (2010).

Legend
Number -    Description
1               Annual Crops
2               Grass
3               Permanent crops
4               Rice
5               Non agricultural

6. Mean monthly temperature (T1.asc….. T12.asc)

The dataset consists of 12 maps containing the monthly mean temperature (deg C) for the period 1960-1990. The dataset is described in Hijmans et al. (2005).

Legend
Mean monthly temperature (deg C), data type Real

7. Mean annual temperature (TMean.asc)

mask The map shows the mean annual temperature (deg C) for the period 1960-1990. It is calculating by taking the arithmetic mean of maps T1..T12.asc. The dataset is described in Hijmans et al. (2005).

Legend
Mean annual temperature (deg C), data type Real

8. Arrhenius weighted mean annual temperature (TEff.asc)

mask The map shows the Arrhenius weighted mean annual temperature (deg C) for the period 1960-1990. It is calculated using the equation (EFSA 2010, Appendix A3):

where Teff (K) is the Arrhenius weighted mean annual temperature, Eact is the Arrhenius activation energy, (kJ mol-1), R (kJ mol-1 K-1) is the gas constant, T (K) is the temperature, and t is time. Eact was set to 65.4 kJ mol 1 according to EFSA (2007). See further EFSA (2010). Notice that the temperatures in the equation are in K, whereas the temperature in the maps is in deg C.

Legend
Arrhenius weighted mean annual temperature (deg C), data type Real

9. Mean monthly precipitation (P1.asc.....P12.asc)

The dataset consists of 12 maps containing the monthly mean precipitation (mm/month) for the period 1960-1990. The dataset is described in Hijmans et al. (2005).

Legend
Mean monthly precipitation (mm/mo), data type Real

10. Mean annual precipitation (Ptot.asc)

mask The map shows the mean annual precipitation for the period 1960-1990 (mm/year). It is calculated by summing P1..P12.map. The dataset is described in Hijmans et al. (2005).


Legend
Mean annual precipitation (mm/yr), data type Real

11. FOCUS Zones (FOCUS.asc)

mask The map shows the FOCUS zones according to the classification in FOCUS (2000). The maps Tmean.map and Ptot.map were used to create the overlay, so the classification is based on WorldClim (Hijmans et al., 2005).


Legend
NameTmean(deg C) Ptot (mm/yr)
Jokioinen <5 deg C > 0 mm/yr
Chateaudun 5 – 12.5 deg C < 600 mm/yr
Hamburg 5 – 12.5 deg C 600 – 800 mm/yr
Kremsmünster 5 – 12.5 deg C 800 – 1000 mm/yr
Okehampton 5 – 12.5 deg C > 1000 mm/yr
Sevilla > 12.5 deg C < 600 mm/yr
Thiva > 12.5 deg C 600 – 800 mm/yr
Piacenza > 12.5 deg C 800 – 1000 mm/yr
Porto > 12.5 deg C > 1000 mm/yr

12. Organic matter content of the topsoil (OM.asc)

Organic matter The map shows the organic matter content of the topsoil. It is obtained by multiplying the original OCTOP map described in Jones et al. (2005) by 1.72.

Legend
Organic matter content of the topsoil (g/g), data type Real

13. pH of the topsoil (pH.asc)

pH The map shows the mean pH measured in water (1:2.5) of the top 30 cm of the soil. See FAO (2008) for details.

Legend
pH measured in water of the topsoil, data type Real

14. Bulk density of the topsoil (Rho.asc)

Bulk Density The map shows the bulk density of the topsoil. It is calculated from the organic matter content map using the equation (Tiktak et al., 2002):


Legend
Dry bulk density of the topsoil (kg m 3), data type Real

15. Texture of the topsoil (Texture.asc)

Texture The map shows the textural class of the topsoil. It is obtained from the soil geographical database of Eurasia at a scale of 1:1000000 (for each grid cell, the dominant soil textural class was taken).


Legend
1: Coarse (18% < clay and > 65% sand)
2: Medium (18% < clay < 35% and >= 15% sand, or 18% < clay and 15% < sand < 65%)
3: Medium fine (< 35% clay and < 15% sand)
4: Fine (35% < clay < 60%)
5: Very fine (clay > 60 %)
9: No mineral texture (Peat soils)

16. Water content at field capacity (ThetaFC.asc)

Water Content The map shows the water content at field capacity (m3 m-3). It is calculated for each soil textural class with the Mualem-Van Genuchten equation:.
Water Content
where Theta (m3 m-3) is the volume fraction of water, h (cm) is the soil water pressure head, Theta s (m3 m-3) is the volume fraction of water at saturation, theta-r (m3 m-3) is the residual water content in the extremely dry range, alpha (cm-1) and n ( ) are empirical parameters, and m ( ) can be taken equal to:
Theta 2
The soil water pressure head was set at -100 cm. Parameter values were obtained from the HYPRES pedotransfer rule (Wösten et al. 1999) and are given in EFSA (2010).

Legend
Volumetric water content at field capacity (m3 m-3), data type Real. The map contains six discrete classes.

17. Capri land cover maps (Cropnames.asc)

Crop cover maps
Crop cover maps
Crop cover maps
These maps show for each pixel of 1x1 km2 the area covered with a certain crop. The CAPRI maps were obtained by combining remote sensing data, administrative crop data, land suitability data and statistical modelling. The CORINE land cover map serves as a starting point. Subdivisions within CORINE land cover classes were made based on a statistical model, regressing point observations of cropping activities on soil, relief and climate parameters (land suitability). Statistical data of agricultural production and land cover available for administrative regions were additionally used to scale the land cover classes. 18 of the CAPRI land cover classes are classified as annual crops and are included in the EFSA dataset. See Leip et al. (2008) for a description of the dataset.

Legend
Area (100%) covered by a crop, data type Real. The names of the maps are self explaining. The values range from 0 to 10000.

Contacts

Information: Ciro Gardi
European Commission, Institute of Environment and Sustainability, Land Management and Natural Hazards Unit, Ispra, Italy.
Email:ciro.gardi@jrc.ec.europa.eu
Work done by Roland Hiederer & Luca Montanarella



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