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SPADE2 PROJECT OBJECTIVES lExpand the Estimated soil profile database to include primary soil properties for ALL STUs. lPrimary Soil Properties are: clay%,

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Presentation on theme: "SPADE2 PROJECT OBJECTIVES lExpand the Estimated soil profile database to include primary soil properties for ALL STUs. lPrimary Soil Properties are: clay%,"— Presentation transcript:

1 SPADE2 PROJECT OBJECTIVES lExpand the Estimated soil profile database to include primary soil properties for ALL STUs. lPrimary Soil Properties are: clay%, silt%, fine sand%, medium sand%, coarse sand%, organic carbon%, pH, Bulk density.

2 SPADE2 Project & Database administration lFunded by ECPA. lCo-ordinated by National Soil Resources Institute, Cranfield University, UK (Project manager. J.M. Hollis). lSub-contracts to National data providers. lIn principle agreement between ECPA and ESB that SPADE 2 data will be included in the next version of the European Soil Database.

3 SPADE-2 – Project Overview lAll National data providers contacted about participation. lNegative response from Austria & no reply from Greece (even after several contacts!). lProject started November, 2002. lProtocols for data generation and formal sub-contracts sent to National data providers. lData providers from France, Spain, Sweden & Ireland did not respond to sub-contracts. lAll other countries (Belgium & Luxembourg, Denmark, Finland, Germany, Italy, Netherlands, Portugal, UK) completed data supply by March 2004).

4 SPADE2: Countries supplying data

5 SPADE – Data available CountrySTUsSPADE1 linkedSPADE1 not linked Spade 2 Austria30000 Belgium & Luxembourg 139352221 Denmark715488 Finland140028 France772982022 Germany389060124 Greece120370 Ireland100980 Italy168516295 Netherlands4921878 Portugal188144317 Spain22015100 Sweden356000 UK465329733 All countries30811862081906

6 Data provided – How compatible? CountryClaySiltSand 1Sand 2Sand 3Org. C.pH B & L0.0020.050.20.52WBH2OH2O DK0.0020.050.22WBH2OH2O FI0.0020.060.20.62WB / Dr CH2OH2O DE0.0020.060.20.62WB / Dr CH2OH2O I0.0020.050.250.52WBH2OH2O NL0.0020.050.1050.212WBKCl P0.0020.050.22WBH2OH2O E,W,NI0.0020.060.22WB / Dr CH2OH2O Scot0.0020.052CHNH2OH2O WBWalkley Black method Dr CDry combustion (Loss on Ignition) CHNCHN Analyzer

7 Data Validation lParticle size data checked for errors (Sum of all values =100% + 1%). lAn automated curve fitting routine used to harmonise the particle size data points at 0.002, 0.05, 0.1, 0.2, 0.5, 2 mm. lOrganic carbon content, pH and bulk density checked against soil type land use combinations and population distributions plotted to identify outliers.

8 Evaluation of SPADE-2 Particle-size data lCurve fitting exercise using a logistic curve showed that significant amounts of data give an unacceptable fit. lUnlikely that any constant-form curve will give better results. lA revised procedure developed: -For each data set, mean diameter data transformed to a Log Phi value. F = -log 2 d = -{log 10 d / log 10 2 } where d is the mean diameter. -A monotonic cubic spline interpolation used to derive data points at standard mean diameter intervals from data points.

9 Monotonic cubic spline fits -1 2 m 50 m 250 m 500 m 2000 m

10 Monotonic cubic spline fits -2 2 m 50 m 200 m 2000 m

11 Monotonic cubic spline fits -3 2 m 50 m 210 m 2000 m 105 m

12 Monotonic cubic spline fits -4 2 m 60 m 200 m 600 m 2000 m

13 Overall evaluation ParameterNumber of data pointsMean valueModel efficiency Clay %599221.10.9893 Silt %599231.20.9236 Total sand %599247.70.9833 Fine sand %5992230.8746 Medium sand %24028.50.6769 Coarse sand %240210.20.8040 Med & coarse sand % 319026.40.9655

14 Organic carbon data distribution

15 Organic C – breakdown into soil groups

16 Evaluation of SPADE-2 Org. C. data lOverall trends in the data are compatible with other national datasets. lData distributions for groupings of soil types is also compatible.

17 SPADE-2 pH Data All pH data provided as pH in Water (1 : 2.5 H2O) apart from the Netherlands (KCl).

18 SPADE-2 – future work lDatabase and Guidance document completed by November 30 th. lExtension to central European countries. Poland, Hungary, Czech Republic, Slovakia, Estonia, Latvia, Lithuania, Slovenia, Romania, Bulgaria, Croatia, Serbia. Using established methodology. lContinue efforts to derive data for those countries that have not contributed so far (France, Ireland, Sweden, Greece & Spain).


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