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Predicted soil erosion rates, nutrient fluxes and topsoil lifespans, modelled for Kenya at a 30 metre resolution

This dataset presents predicted soil erosion rates (t ha-1 yr-1) and its impact on topsoils, including lifespans (yr) assuming erosion rates remain constant and there is no replacement of soil; flux rates of soil organic carbon via erosion (t SOC ha-1 yr-1); flux rates of soil nitrogen via erosion (t N ha-1 yr-1); and flux rates of soil phosphorous via erosion (t P ha-1 yr-1). The dataset comes in the form of three multi-band raster GeoTiff files, structured as follows: 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) Full details about this dataset can be found at https://doi.org/10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be

Simple

Date (Publication)
2023-06-19
Citation identifier
https://catalogue.ceh.ac.uk/id/86d07d98-2956-4395-8b02-29dd5d98e6be
Citation identifier
doi: / 10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be
Other citation details

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 10.5285/86d07d98-2956-4395-8b02-29dd5d98e6be

Point of contact
Organisation name Individual name Electronic mail address Role
UK Centre for Ecology & Hydrology Feeney, C.J.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Robinson, D.A.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology Thomas, A.R.C.

enquiries@ceh.ac.uk

Author

Roma Tre University

Borrelli, P.

pasquale.borrelli@uniroma3.it

Author
UK Centre for Ecology & Hydrology Cooper, D.M.

enquiries@ceh.ac.uk

Author
UK Centre for Ecology & Hydrology May, L.

enquiries@ceh.ac.uk

Author
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Custodian
UK Centre for Ecology & Hydrology

Feeney, C.J.

enquiries@ceh.ac.uk

Point of contact
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Publisher
UK Centre for Ecology & Hydrology

enquiries@ceh.ac.uk

Owner
Keywords
  • Kenya

  • Soil erosion

  • Topsoil nutrient fluxes

  • Topsoil lifespans

  • Land degradation

Access constraints
Other restrictions
Other constraints
Registration is required to access this data
Use constraints
Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
Other restrictions
Other constraints

If you reuse this data, you should cite: 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

Spatial representation type
Grid
Distance
30  urn:ogc:def:uom:EPSG::9001
Language
English
Character set
UTF8
Topic category
  • Environment
Begin date
2016-01-01
End date
2016-12-31
N
S
E
W
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Unique resource identifier
OSGB 1936 / British National Grid
Distribution format
Name Version

TIFF

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceh.ac.uk/datastore/eidchub/86d07d98-2956-4395-8b02-29dd5d98e6be

Download the data

OnLine resource
Protocol Linkage Name
https://data-package.ceh.ac.uk/sd/86d07d98-2956-4395-8b02-29dd5d98e6be.zip

Supporting information

Hierarchy level
Dataset
Other

dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

Topsoil (0-20 cm) erosion rates were predicted by applying the Revised Universal Soil Loss Equation to 4 spatial layers (full details are provided in the supporting documentation file). 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.

Metadata

File identifier
86d07d98-2956-4395-8b02-29dd5d98e6be XML
Metadata language
English
Character set
8859 Part 1
Hierarchy level
Dataset
Hierarchy level name

dataset

Date stamp
2025-11-13T16:26:00
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role
NERC EDS Environmental Information Data Centre

info@eidc.ac.uk

Point of contact
 
 

Overviews

Spatial extent

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Keywords



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