Progress for the GlobalSoilMap.net-North American Node

Towards Global Soil Information: Activities with the GEO Task Global Soil Data

Jon Hempel

USDA-NRCS

Global Soil Partnership Workshop 2012

FAO Headquarters

Rome, IT

20 – 23 March, 2012

It’s a global project

North America

Latin America/ Caribbean

Eurasia

Africa

East Asia

Oceania

South Asia

North Africa/West Asia

Jordan

Specifications Bob MacMillan

Soil Legacy Data Sharon Waltman/ Endre Dobos*

Covariates Janis Boettinger*/ Hannes Reuter*

New Methods Development Budiman Minasny*/ Alex McBratney*

Application of Existing Methods Tom Hengl*

Data Model Peter Wilson*

Cyber Infrastructure Sonya Ahmed/ Robert Gibb*

End User Engagement Phillip Owen*

Training Alex McBratney*/ Budiman Minasny*

Production Mapping Bob MacMillan

Global Stratification Philippe Lagacherie*

GlobalSoilMap.net Task Groups

Aspect 1--- Soil properties (not classes) presented in raster format

Key properties

1. Organic Carbon (g/kg) 2. Sand (%), Silt (%), Clay (%) & coarse fragments (%) 3. pH 4. Depth to bedrock or restricting layer (m) From these attributes, the following two properties will be predicted using pedo-transfer functions: 5. Bulk Density (kg/m3) 6. Available Water Capacity (given in mm/m) Optional: 7. ECEC (Cations plus exchangeable acidity mol/kg) 8. EC (Electrical conductivity dS/m)

0 - 5 cm 5 – 15 cm 15 – 30 cm 30 – 60 cm 60-100 cm 100-200 cm Effective depth

Aspect 2 – Showing Uncertainties

Aspect 3--Soil Depth Attribute functions

T.F.A. Bishop et al. Geoderma 91 1999 27–45

0

1

5

0 - 5 cm 5 – 15 cm 15 – 30 cm 30 – 60 cm 60-100 cm 100-200 cm Effective depth

Aspect 4 – Fine resolution grid 90 by 90 m

Capture and Utilize-Existing/Legacy Data

Soil maps Soil samples

Reports, literature Soil data and information

Which soil data are available?

Define an area of interest

Detailed soil maps with legends

-Spatially weighted mean -Spatial disaggregation

Extrapolation from reference areas Spatially weighted mean

Full Cover? Homosoil

Detailed soil maps with legends and Soil Point data

Soil Point data No data

No Yes

scorpan kriging

Assemble environmental covariates

Soil maps: -Spatially weighted mean -Spatial disaggregation Soil data: - scorpan kriging

Extrapolation from reference areas: -Soil maps -Soil point data

Full Cover?

No Yes

Increasing uncertainty in prediction (depends on the quality of data and complexity of soil cover )

Assign quality of soil data and coverage in the covariate space

Digital Soil Mapping Workflow

North American Node

NA Node Partners • USDA-Natural Resources Conservation Service • Agriculture and Agri-Food Canada • West Virginia University • Purdue University • Utah State University • University of Florida • University of California-Davis • Environmental Protection Agency (EPA) • US Geological Survey • Mexico Partners

– Conafor-Comisión Nacional Forestal, is the National Forestry Commission of Mexico and is an agency of the Secretariat of the Environment and Natural Resources)

– INEGI- NEGI, Instituto Nacional de Estadística y Geografía (National Institute of Statistic and Geography

NA Node Small scale digitized soil maps available for 100% of NA node area

• CANADA-Soil Landscapes of Canada (SLC- 1:1,000,000)

• MEXICO-Carta Edafologica escala (1:250,000)

• USA-US General Soil Map (STATSGO2- 1:250,000)

NA Node Medium to Large Scale

digitized soil maps available for 70% of the node

• CANADA Canada Land inventory (CLI)-(Detailed Soil Surveys-1:10,000-1:250,000)

• MEXICO-Cartas Edafológicas registradas-(1:50000)

• USA-SSURGO Soil Survey Geographic Database (SSURGO-1:12,000-1:65,000)

Versioning of the NA Node Data

• Versions 0.1–0.4-STATSGO, SLC, CEE

• Versions 0.5–0.9-SSURGO, CLI, CER

• Versions 1.0+-Digital Soil Mapping predictive modeling (point data, disaggregated soil maps, covariate information)

Soil Landscapes of Canada

Soil Landscapes of Canada 1:1M

• Organic C

• pH

• Clay

• Silt Spatially weighted means

• Sand At GSM specified depths

• Coarse Frags for Canada Ag areas

• Bulk Density

• AWC

• EC

Glenn Lelyk-AAFC

STATSGO-State Soil Geographic Overlay 1:250K

• Organic C

• pH

• Clay

• Silt Spatially weighted means

• Sand At GSM specified depths

• Coarse Frags

• Bulk Density

• AWC

• Soil Depth

Zamir Libahova, et. al

•Soil Depth •Sand, Silt, Clay •Coarse Fragments •Depth to Bedrock •Soil carbon •Bulk Density Close to prescribed •pH GSM.net depths •Available Water Capacity (0-5, 5-20, 20-50 •Permeability 50-100, 100-150, •hydrologic conductivity 150-200) •Percentage hydric soils

EPA/USGS/NRCS Soil Property Maps from SSURGO

Norman Bliss et. Al

SOC for conterminous US, 0 – 5 cm depth

Note: Legend colors are specific to each standard layer and should not be compared between layers. Red indicates low SOC values and blue indicates high SOC values (grams per square meter)

SOC: 5 – 20 cm depth

Note: Legend colors are specific to each standard layer and should not be compared between layers. Red indicates low SOC values and blue indicates high SOC values (grams per square meter)

SOC: 20 – 50 cm depth

Note: Legend colors are specific to each standard layer and should not be compared between layers. Red indicates low SOC values and blue indicates high SOC values (grams per square meter)

SOC: 50 – 100 cm depth

Note: Legend colors are specific to each standard layer and should not be compared between layers. Red indicates low SOC values and blue indicates high SOC values (grams per square meter)

SOC: 100 – 150 cm depth

Note: Legend colors are specific to each standard layer and should not be compared between layers. Red indicates low SOC values and blue indicates high SOC values (grams per square meter)

SOC: greater than 150 cm depth

Note: Legend colors are specific to each standard layer and should not be compared between layers. Red indicates low SOC values and blue indicates high SOC values (grams per square meter)

Bulk Density, 0-5 cm (Mg m-3)

0.02

2.33

Bulk Density, 5-20 cm (Mg m-3)

0.02

2.33

Bulk Density, 20-50 cm (Mg m-3)

0.02

2.33

Bulk Density, 50-100 cm (Mg m-3)

0.02

2.33

Bulk Density, 100-150 cm (Mg m-3)

0.02

2.33

Bulk Density, 150-999 cm (Mg m-3)

Actual maximum depth is 457 cm

0.02

2.33

Denmark GlobalSoilMap.net K. Adhikari, R. Bou Kheir, M.B. Greve, P.K. Bøcher and M.H. Greve

Conclusions

• Can use SSURGO, STATSGO, SLC to produce property maps (wt ave) that meet GSM.net specs

• Anywhere in the world with digitized soil maps and attributed polygons can produce soil property data

• Need work on uncertainty • Research and develop

deconstruction/disaggregation technology