Cite this dataset as
Feeney, C.J., Robinson, D.A., Thomas, A.R.C., Borrelli, P., Cooper, D.M., May, L. (2023). Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be
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This dataset is available under the terms of the Open Government Licence
Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution
LC16_Results.tif: Model predictions generated under the 2016 Copernicus Land Cover Map at 30-metre resolution (five bands)
Mitigation_scenarios.tif: Predicted reductions in erosion rates in the event of implementing mitigation scenarios described in sixteen different scenarios (sixteen bands).
PNV_Results.tif: Same structure as LC16_Results.tif, but stores predictions generated under the Potential Natural Vegetation cover map for East Africa at 30-metre resolution (five bands)
Format
TIFF
Spatial information
- Study area
-
- Spatial representation type
- Raster
- Spatial reference system
- OSGB 1936 / British National Grid
Temporal information
- Temporal extent
-
2016-01-01 to 2016-12-31
Provenance & quality
In the case of Mitigation_scenarios.tif, we multiplied the erosion rate predictions in LC16_Results.tif by coefficients that represent various mitigation scenarios on cropland. These predictions were then subtracted from the LC16_Results.tif erosion rate predictions to produce estimated erosion rate reductions under sustainable land-use scenarios.
Topsoil nutrient concentration maps were combined with erosion rate predictions to estimate rates of soil organic carbon, nitrogen and phosphorous fluxes with soil loss. Topsoil bulk density predictions were combined with erosion rate predictions to estimate topsoil lifespans across Kenya. Predicted soil erosion rates and topsoil lifespans were evaluated against available observational measurements and shown to be reasonably accurate. No observational data on soil organic carbon, nitrogen or phosphorous fluxes via erosion were available for evaluation purposes.
To reduce the overall sizes of each data file, we converted the data from floating point to integer format. Before converting our data, we multiplied each raster layer (individual band in our GeoTiffs) by a conversion factor appropriate to the number of decimal places for each property (see Supporting Documentation for more details). The user of our data will thus need to divide the values stored in our raster layers by a conversion factor to get the “true” values.
After converting our data into integer format, each raster band was harmonised to the same coordinate reference system and spatial extent before stacking into multi-band GeoTiff files. Please note that while within each of the 3 files, the spatial extents are identical, between the 3 files, the spatial extents differ. This is because the LC16_Results.tif layers include predictions for the Ilemi Triangle in northwest Kenya, whereas the PNV_Results.tif layers do not. The Mitigation_scenarios.tif layers meanwhile cover only Kenya’s croplands.
Citations
Correspondence/contact details
Lancaster
Lancashire
LA1 4AP
UNITED KINGDOM
Authors
Other contacts
- Rights holder
-
UK Centre for Ecology & Hydrology
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
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This dataset is available under the terms of the Open Government Licence
CITE AS: Feeney, C.J.; Robinson, D.A.; Thomas, A.R.C.; Borrelli, P.; Cooper, D.M.; May, L. (2023). Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be