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Global High-Resolution Soil Profile Database for Crop Modeling Applications

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Global High-Resolution Soil Profile Database for Crop Modeling Applications
 
Identifier https://doi.org/10.7910/DVN/1PEEY0
 
Creator International Research Institute for Climate and Society (IRI)
Michigan State University (MSU)
HarvestChoice, International Food Policy Research Institute (IFPRI)
 
Publisher Harvard Dataverse
 
Description One of the obstacles in applying advanced crop simulation models such as DSSAT at a grid-based platform is the lack of gridded soil input data at various resolutions. Recently, there has been many efforts in scientific communities to develop spatially continuous soil database across the globe. The most representative example is the SoilGrids 1km released by ISRIC in 2014. In addition recent AfSIS project put a lot of efforts to develop more accurate soil database in Africa at high spatial resolution. Taking advantage of those two available high resolution soil databases (SoilGrids 1km and ISRIC-AfSIS at 1km resolution), this project aims to develop a set of DSSAT compatible soil profiles on 5 arc-minute grid (which is HarvestChoice’s standard grid). Six soil properties (bulk density, organic carbon, percentage of clay and silt, soil pH and cation exchange capacity) available from the original SoilGrids 1km or ISRIC-AfSIS were directly used as DSSAT inputs. We applied a pedo-transfer function to derive some soil hydraulic properties (saturated hydraulic conductivity, soil water content at field capacity, wilting point and saturation) which are critical to simulate crop growth. For other required variables, HarvestChoice’s HC27 database are used as a reference. Final outputs are provided in *.SOL file format (DSSAT soil database) for each country at 5-min resolution. In addition, uncertainty maps for organic carbon and soil water content at wilting points at the top 15 cm soil layers were generated to provide brief idea about accuracy of the final products. The generated soil properties were evaluated by visualizing their global maps and by comparing them with IIASA-IFPRI cropland map and AfSIS-GYGA’s available water content maps.
 
Subject Agricultural Sciences
Computer and Information Science
Earth and Environmental Sciences
soil profiles
crop modelling
 
Language English
 
Date 2015-09-30
 
Contributor Koo, Jawoo
Han, Eunjin (IRI)
Ines, Amor (MSU)
Koo, Jawoo (IFPRI)
USAID Bureau of Food Security
CGIAR Research Program on Policies, Institutions, and Markets (PIM)
 
Type Soil profile database (*.SOL) for DSSAT Cropping System Model