EUROPEAN SOIL DATABASEEUROPEAN SOIL DATABASEversion 1.0version 1.0

1:1,000,000 Soil geographic database v. 3.2.8.

European Soil Profile Analytical database.

HYPRES pedo-transfer functions.

SOIL PROFILE ANALYTICALSOIL PROFILE ANALYTICALDATABASE - SPADE 1DATABASE - SPADE 1

Soil horizon property data for ‘dominant’ STU’s.

Many STU’s have no data.

Particle-size, O.C., pH Bulk D., Hydraulic

properties, CEC, Base saturation.

‘Measured’ data set - Some missing properties.

‘Estimated’ data set - All properties estimated,

but method indicated.

Only one land use per STU - Often not arable.

SPADE2SPADE2PROJECT OBJECTIVESPROJECT OBJECTIVES

Expand the ‘Estimated’ soil profile database to include ‘primary soil properties for ALL STU’s.For the 15 EU countries only.

Primary Soil Properties are:clay%, silt%, fine sand%, medium sand%, coarse sand%, organic carbon%, pH, Bulk density.

SPADE2SPADE2 Project & Database Project & Database

administrationadministration

Funded by ECPA.

Co-ordinated by National Soil Resources Institute,

Cranfield University, UK(Project manager. J.M. Hollis).

Sub-contracts to National data providers from all 15

EU countries

SPADE2SPADE2 Database administrationDatabase administration

Fourth component of the European Soil Database.

Available under the same terms and conditions as the existing database.

All ECPA members will hold a ‘royalty free’ copy.

SMU’s & STU’s per countrySMU’s & STU’s per country

Country No. SMU's No. STU's

Austria 34 74

Finland 15 14

Sweden 64 356

Netherlands 38 111

Denmark 20 87

Belgium 47 174

Ireland 36 100

Scotland 29 100

Italy 49 178

Greece 38 199

Spain 84 261

Portugal 41 221

Germany 104 389

England & Wales 75 304

France 321 917

SPADE-2 – Project SPADE-2 – Project OverviewOverview

All 15 National soil data providers contacted about participation.

Negative response from Austria & no reply from Greece (even

after several contacts!).

Project started November, 2002.

Protocols for data generation and formal sub-contracts sent to

National data providers.

Data providers from France, Spain, Sweden & Ireland did not

respond to sub-contracts.

All other countries (Belgium & Luxembourg, Denmark, Finland,

Germany, Italy, Netherlands, Portugal, UK) completed data

supply by March 2004).

SPADE2: SPADE2:

CountrieCountries s supplyinsupplying datag data

Sub-contracts to Member Sub-contracts to Member StatesStates

Country Proposed (Euro) Paid (Euro)Austria 5.5Finland 5.5 5.5Sweden 9.5Netherlands 6.0 6Denmark 6.5 6.5Belgium 7.5 7.5Ireland 7.0Scotland 6.5 6.5Italy 8.5 8.5Greece 7.5Spain 9.5Portugal 9.0 9GermanyEngland & Wales 9.0 9France 15.0

Total 112.5 58.5

Euro 92k

Data Derivation ProtocolData Derivation ProtocolIf at least 5 measured data points are available for the land use-specific STU:

Calculate the mean value and the standard deviation.

Use expert judgement to assess whether these values are relevant for the land use-specific STU.

If you consider the values to be representative, insert them into the ‘mean value’ and ‘standard deviation’ columns.

If you consider them to be unrepresentative, use expert judgement to adjust the calculated mean value to a more representative value and put ‘-8’ in the standard deviation column.

If less than 5 measured data points are available for the land use-specific STU:

Calculate the mean value.

Use expert judgement to assess whether this value is relevant for the land use-specific STU.

If you consider the value to be representative, insert it into the ‘mean value’ column and put ‘-1’ into the standard deviation column.

If you consider the value to be unrepresentative, use expert judgement to adjust it to a more representative value and put ‘-8’ in the standard deviation column.

If no measured data points are available for the land use-specific STU:

Use expert judgement to assess a relevant mean value for the property and put ‘-9’ in the standard deviation column.