HC27: Generic/Prototypical Soil Profiles

Sprout

Ecosystems models are currently used in various types of impact assessment studies at different temporal and spatial scales, and their results often implicate policy and management decisions at multiple levels ...

Converting WISE 1.1 Soil Profile Database for Crop Models

Soil

Through the collaboration with HarvestChoice, a team of scientists at the Universities of Georgia and Florida converted 3,404 soil profiles from the World Soil Information (ISRIC) WISE Global Soil Profile Database v1.1 to the DSSAT-compatible format.

Visualizing Soil Quality

Soil

As an appendix to the Harmonized World Soil Database (HWSD) v1.1, seven soil indicators have been published globally, at 5 arc-minute (10 km) resolution.

Yield Gap: Rainfed Maize

As a quick demonstration to estimate crop yield levels at regional-scale with various management assumptions, this post describes how crop systems models can be used to assess yield gap of rainfed maize due to the limited supply of soil nitrogen. This methodology can help researchers to find what is the most critical factor that limits crop yield productivity in a given environment condition and how to address the constraint.

Which Soil Profile(s) to Choose?

Which soil profiles?

In August, we posted a new collection of more than 3,400 soil profiles that are converted/formatted for crop model applications, based on the WISE 1.1 Soil Profile Database. Utilizing this new soil profiles, as described in the post, we anticipate crop modeling studies to expand their coverage areas even to the locations where no soil measurement data was previously available. For the questions of exactly how, here is a quick example application that can help you find the one(s).

Updating Soil Functional Capacity Classification System

ALUMINUM TOXICITY (A MODIFIER)

Mapping the global extent of soil constraints to crop growth plays an important role in developing strategies for agricultural production, environmental protection, and sustainable development at regional and global scales. The most widely used dataset is the Soil Fertility Capability Classification System (FCC) developed by Center for International Earth Science Information Network (CIESIN) and the Tropical Agriculture Program of the Earth Institute at Columbia University. HarvestChoice facilitated developing an updated version of FCC using the Harmonized World Soil Database v1.1. This new dataset will play a key role in HarvestChoice's forthcoming flagship study on the biophysical/economic impact assessment of agricultural production constraints in Sub-Saharan Africa.

Mapping Spatial Distribution of Soil Profiles

How to find a right soil profile for this grid cell?

For crop modeling researchers who are in need of finding soil profiles at regional-scale in Sub-Saharan Africa (SSA), this post gives a spatial dataset that delineates SSA into 588 units and corresponding soil profiles, based on the WISE v1.1 and HC27 soil profile databases.

Soil Resources

Spatial and temporal variation in soil quality are major determinants of the productive capacity of land. HarvestChoice uses a number of data sources and approaches in attempting to capture the multiple dimensions of soil quality and their impact on crop yields and the effectiveness of alternative soil and soil and water management interventions.

WISE Soil Profile Data for Crop Modeling

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Publishing Details

Tool Type: 
Interactive map query
Publication Year: 
2009
Publisher: 
HarvestChoice/International Food Policy Research Institute (IFPRI)
Years Covered: 
2009
Lowest Geographic Unit: 
1472 profile locations

Abstract

This tool visualizes and provides access to the ISRIC WISE soil profile database; data has been re-formatted to generate DSSAT soil files.

Harmonized World Soil Database (HWSD)

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Publishing Details

Tool Type: 
Droppr
Publication Year: 
2009
Publisher: 
HarvestChoice/International Food Policy Research Institute (IFPRI)
Years Covered: 
2009
Lowest Geographic Unit: 
1700 mapping units

Abstract

The Harmonized World Soil Database (HWSD), jointly developed by FAO, IISAS, ISSCAS, and JRC, is a mapping unit-based soil property database.

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