Introduction to the European Soil Data Base (distribution version  v2.0)


 

 

The European Soil Data Base (distribution version  v2.0) consists of a number of databases:

 

·         the Soil Geographical Data Base of Eurasia at Scale 1:1,000,000 (SGDBE), which is a digitized Eurasian soil map and related attributes (version 4 beta) ;

 

 

 

 

In this introduction, an overview will be given of these components.

 

 

 

 

Soil Geographical Data Base of Eurasia at Scale 1:1,000,000 (SGDBE), version 4 beta

 

The Soil Geographical Database of Eurasia at Scale 1:1,000,000 is part of he European Soil Informatin System (EUSIS). It is the resulting product of a collaborative project involving all the European Union and neighbouring countries. It is a simplified representation of the diversity and spatial variability of the soil coverage. The methodology used to differentiate and name the main soil types is based on the terminology of the F.A.O. legend for the Soil Map of the World at Scale 1:5,000,000. This terminology has been refined and adapted to take account of the specificities of the landscapes in Eurasia. It is itself founded on the distinction of the main pedogenetic processes leading to soil differentiation: brunification, lessivage, podzolisation, hydromorphy, etc.

 

 The database contains a list of Soil Typological Units (STU). Besides the soil names they represent, these units are described by variables (attributes) specifying the nature and properties of the soils: for example the texture, the water regime, the stoniness, etc. The geographical representation was chosen at a scale corresponding to the 1:1,000,000. At this scale, it is not feasible to delineate the STUs. Therefore they are grouped into Soil Mapping Units (SMU) to form soil associations and to illustrate the functioning of pedological systems within the landscapes. Each SMU corresponds to a part of the mapped territory and as such is represented by one or more polygons in a geometrical dataset.

 

Harmonisation of the soil data from the member countries is based on a dictionary giving the definition for each occurrence of the variables. Considering the scale, the precision of the variables is weak.  Furthermore these variables were estimated over large areas by expert judgement  rather than measured on local soil samples. This expertise results from synthesis and generalisation tasks of national or regional maps published at more detailed scales, for example 1:50,000 or 1:25,000 scales. Delineation of the Soil Mapping Units is also the result of expertise and experience. Heterogeneity can be considerable in Eurasian regions. The spatial variability of soils is very important and is difficult to express at global levels of precision. Quality indices of the information (purity and confidence level) are included with the data in order to guide usage.

 

 

As a result, the SGDBE consists of both a geometrical dataset and a semantic dataset (set of attribute files) which links attribute values to the polygons of the geometrical dataset. How map polygons,  SMU’s and STU’s are linked together is illustrated in the figure below :

 

 

In the STU table, each STU has a number of attributes: an overview of these attributes is given below. It is important to know that values for an attribute A are chosen among a set of defined classes for that attribute.

 

 

Attribute Name

Confidence Level ?

Short description

AGLIM1

 

Code of the most important limitation to agricultural use of the STU.

AGLIM2

 

Code of a secondary limitation to agricultural use of the STU.

CFL

 

Code for a global confidence level of the STU description.

FAO85-FULL

yes

Full soil code of the STU from the 1974 (modified CEC 1985) FAO-UNESCO Soil Legend.

FAO85-LEV1

yes

Soil major group code of the STU from the 1974 (modified CEC 1985) FAO-UNESCO Soil Legend.

FAO85-LEV2

yes

Second level soil code of the STU from the 1974 (modified CEC 1985) FAO-UNESCO Soil Legend.

FAO85-LEV3

yes

Third level soil code of the STU from the 1974 (modified CEC 1985) FAO-UNESCO Soil Legend.

FAO90-FULL

yes

Full soil code of the STU from the 1990 FAO-UNESCO Soil Legend.

FAO90-LEV1

yes

Soil major group code of the STU from the 1990 FAO-UNESCO Soil Legend.

FAO90-LEV2

yes

Second level soil code of the STU from the 1990 FAO-UNESCO Soil Legend.

IL

 

Code for the presence of an impermeable layer within the soil profile of the STU.

PAR-MAT-DOM

yes

Code for dominant parent material of the STU.

PAR-MAT-DOM1

yes

Major group code for the dominant parent material of the STU.

PAR-MAT-DOM2

yes

Second level code for the dominant parent material of the STU.

PAR-MAT-DOM3

yes

Third level code for the dominant parent material of the STU.

PAR-MAT-SEC

yes

Code for secondary parent material of the STU.

PAR-MAT-SEC1

yes

Major group code for the secondary parent material of the STU.

PAR-MAT-SEC2

yes

Second level code for the secondary parent material of the STU.

PAR-MAT-SEC3

yes

Third level code for the secondary parent material of the STU.

ROO

 

Depth class of an obstacle to roots within the STU.

SLOPE-DOM

 

Dominant slope class of the STU.

SLOPE-SEC

 

Secondary slope class of the STU.

TEXT-DEP-CHG

 

Depth class to a textural change of the dominant and/or secondary surface texture of the STU.

TEXT-SRF-DOM

 

Dominant surface textural class of the STU.

TEXT-SRF-SEC

 

Secondary surface textural class of the STU.

TEXT-SUB-DOM

 

Dominant sub-surface textural class of the STU.

TEXT-SUB-SEC

 

Secondary sub-surface textural class of the STU.

USE-DOM

 

Code for dominant land use of the STU.

USE-SEC

 

Code for secondary land use of the STU.

WM1

 

Code for normal presence and purpose of an existing water management system in agricultural land on more than 50% of the STU.

WM2

 

Code for the type of an existing water management system.

WR

 

Dominant annual average soil water regime class of the soil profile of the STU.

WRB-ADJ1

yes

First soil adjective code of the STU from the World Reference Base (WRB) for Soil Resources.

WRB-ADJ2

yes

Second soil adjective code of the STU from the World Reference Base (WRB) for Soil Resources.

WRB-FULL

yes

Full soil code of the STU from the World Reference Base (WRB) for Soil Resources.

WRB-LEV1

yes

Soil reference group code of the STU from the World Reference Base (WRB) for Soil Resources.

WRB-SPE1

yes

Specifier of the first soil adjective of the STU from the World Reference Base (WRB) for Soil Resources.

WRB-SPE2

yes

Specifier of the second soil adjective of the STU from the World Reference Base (WRB) for Soil Resources.

ZMAX

 

Maximum elevation above sea level of the STU (in metres).

ZMIN

 

Minimum elevation above sea level of the STU (in metres).

 

 

For the values of some attributes, it is indicated what is the confidence in the value. The confidence value is qualitatively expressed as high, moderate, low or very low.  The confidence values for an attribute with name A are reported in an additional column with name A.CL. Also a confidence level for each STU record as a whole is provided under the attribute with name CFL.

 

In the above table “yes” in column “Confidence Level ?” indicates that for this attribute a confidence level is available.

 

The Pedotransfer Rules Database (PTRDB), version 2.0

 

Pedotransfer rules define how to infer values for an output attribute based on a set of values from a number of input attributes. Within the Soil Database, the input attributes are selected among the attributes in the STU table from the SGDBE. The whole set of pedotransfer rules constitute the PedoTransfer Rules Database

The following list contains the new attributes for which rules have been defined.

 

Attribute Name

Short description

TEXT

Dominant surface textural class (completed from dominant STU).

AGLIM1NNI

Dominant limitation to agricultural use (without no information).

AGLIM2NNI

Secondary limitation to agricultural use (without no information).

USE

Regrouped land use class.

ALT

ELEVATION

MAT1HEV

Dominant parent material code as translated from MAT1 by Hartwich & al.

PAR-MAT-DOM

Code for dominant parent material of the STU (inferred).

PAR-MAT-SEC

Code for secondary parent material of the STU (inferred).

OC_TOP

Topsoil organic carbon content.

PEAT

Peat.

PMH

Parent material hydro-geological type.

DGH

Depth to a gleyed horizon.

DIMP

Depth to an impermeable layer.

HG

Hydro-geological class.

ALT_MIN

100 m class minimum altitudes.

ALT_MAX

100 m class maximum altitudes.

ATC

Accumulated temperature class.

DIFF

Soil profile differentiation.

MIN

Profile mineralogy.

MIN_TOP

Topsoil mineralogy.

MIN_SUB

Subsoil mineralogy.

CEC_TOP

Topsoil cation exchange capacity.

CEC_SUB

Subsoil cation exchange capacity.

BS_TOP

Base saturation of the topsoil.

BS_SUB

Base saturation of the subsoil.

DR

Depth to rock.

VS

Volume of stones.

TD

Rule inferred subsoil texture.

STR_TOP

Topsoil structure.

STR_SUB

Subsoil structure.

PD_TOP

Topsoil packing density.

PD_SUB

Subsoil packing density.

AWC_TOP

Topsoil available water capacity.

EAWC_TOP

Topsoil easily available water capacity.

AWC_SUB

Subsoil available water capacity.

EAWC_SUB

Subsoil easily available water capacity.

TEXT-CRUST

Textural factor of soil crusting.

PHYS-CHIM

Physi-chemical factor of soil crusting & erodibility.

CRUSTING

Soil crusting class.

TEXT-EROD

Textural factor of soil erodibility.

ERODIBILITY

Soil erodibility class.

 

 

 

The Soil Profile Analytical Database of Europe (SPADBE)

 

The idea of incorporating profile data into the Soil Database was to extend the SGDBE data with quantitative data (whereas SGDBE attribute values are qualitative (e.g high, low, medium) and taken from a discrete set of predefined values). Such  quantitative data should allow better modeling. Two types of profile data are provided: estimated profiles and measured profiles.

 

Measured profile data come from geo-located profiles taken in the field, analyzed according to own (non-harmonized) procedures in order to fill in a specific measured-profile form, according to specific instructions ; ideally these measured profiles should correspond to an STU from the SGDBE.

 

Estimated profile data come from profiles that should be representative for a specific STU and have been estimated by experts in order to fill in a specific estimated-profile form, according to specific instructions. The values that had to be reported in this form were subject to a kind of harmonization.

 

 

 

The database includes the following analytical results for the different soil horizons :

 

·    Texture (& particle size grades)           ·    Electric conductivity

·    Organic matter content (C, N)              ·    CEC and exchangeable bases

·    Structure                                                  ·    Soil water retention

·    Total nitrogen content                          ·    Bulk density

·    pH                                                             ·    Root depth

·    ESP or SAR                                             ·    Groundwater level

·    Calcium carbonate content                   ·    Parent material

·    Calcium sulphate content

 

 

The result of the profile data collection and compilation are :

 

 

 

 

 

 

Database of Hydraulic Properties of European Soils (HYPRES), version 1.0

 

A major obstacle to the wider application of water simulation models is the lack of easily accessible and representative soil hydraulic properties. To overcome this apparent lack of data, a project was initiated to bring together the available hydraulic data on soils, residing within different institutions in Europe, into one central database. This information has been used to derive a set of pedotransfer functions that can provide a satisfactory alternative to costly and time-consuming direct measurements.

 

A total of 20 institutions from 12 European countries collaborated in establishing the database of HYdraulic PRoperties of European Soils (HYPRES). As a consequence, it was necessary to standardise both the particle size and the hydraulic data. Standardization of hydraulic data was achieved by fitting the Mualem-van Genuchten model parameters to the individual q(h) and K(h) hydraulic properties stored in HYPRES.

 

The HYPRES database contains information on a total of 5521 soil horizons. Each soil horizon was allocated to one of 11 possible soil textural/pedological classes derived from the 6 FAO texture classes (5 mineral and 1 organic) and the two pedological classes (topsoil and subsoil) recognised within the 1:1,000,000 scale Soil Geographical Data Base of Europe. Then, both class and continuous pedotransfer functions were developed. The class pedotransfer functions were used in combination with the 1:1,000,000 scale Soil Database of Europe to determine the spatial distribution of soil water availability.