Data from: New regionally modelled soil layers improve prediction of vegetation type relative to that based on global soil models

Cramer M, Wootton L, van Mazijk R, Verboom G

Date Published: August 12, 2019

DOI: https://doi.org/10.5061/dryad.37qc017

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Collated and georeferenced GCFR soil data
Downloaded 6 times
Description Soil chemical data for the Greater Cape Floristic Region (GCFR) collated from sources and geo-referenced. The variables in this file include the latitude and longitude of each point, the pH measured in water (pH_H2O), pH measured in extracts (pH_extract, mostly 1 M KCl), Cation exchange capacity (CEC; cmol(+)/kg; H+ (cmol(+)/kg), Total exchangeable cations (cmol(+)/kg), Extractable K (cmol(+)/kg), Extractable Na (cmol(+)/kg), Extractable P (mg/kg), total P (mg/kg), Organic C (%), total C(%) and total N(%).
Download GCFR_soil.csv (174.8 Kb)
Details View File Details
Title GCFR soil pH
Downloaded 4 times
Description pH values were obtained from collated data and also AFSP. Data from pH measured in water were corrected to KCl extract values using linear regression of known KCL and water extracts. The raster layer represents the modeled interpolation of this pH (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Note that there are some voids (NA values) within the geographic area modeled.
Download pH.tif (1.283 Mb)
Details View File Details
Title GCFR soil electrical conductivity (EC, mS/m)
Downloaded 3 times
Description The raster layer represents the modeled interpolation of electrical conductivity (EC) (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Units are mS/m. Note that there are some voids (NA values) within the geographic area modeled.
Download EC_mS_m.tif (1.378 Mb)
Details View File Details
Title GCFR soil extractable K (cmol(+)/kg)
Downloaded 3 times
Description The raster layer represents the modeled interpolation of extractable K (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Units are cmol(+)/kg soil. Note that there are some voids (NA values) within the geographic area modeled.
Download Ext_K_cmol_kg.tif (1.380 Mb)
Details View File Details
Title GCFR soil extractable Na (cmol(+)/kg)
Downloaded 3 times
Description The raster layer represents the modeled interpolation of extractable Na (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Units are cmol(+)/kg soil. Note that there are some voids (NA values) within the geographic area modeled.
Download Ext_Na_cmol_kg.tif (1.382 Mb)
Details View File Details
Title GCFR soil extractable P (mg/kg)
Downloaded 3 times
Description The raster layer represents the modeled interpolation of extractable P (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Units are mg/kg soil. Note that there are some voids (NA values) within the geographic area modeled.
Download Ext_P_mg_kg.tif (1.373 Mb)
Details View File Details
Title GCFR soil total C (%)
Downloaded 3 times
Description The raster layer represents the modeled interpolation of total C (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Units are % (w/w) soil. Note that there are some voids (NA values) within the geographic area modeled. Total C includes organic and inorganic C.
Download Total_C_%.tif (1.380 Mb)
Details View File Details
Title GCFR soil total N (%)
Downloaded 4 times
Description The raster layer represents the modeled interpolation of total N (CRS EPSG:4326 - WGS 84 - Geographic) in GeoTIFF format. Units are % (w/w) soil. Note that there are some voids (NA values) within the geographic area modeled.
Download Total_N_%.tif (1.357 Mb)
Details View File Details

When using this data, please cite the original publication:

Cramer M, Wootton L, van Mazijk R, Verboom G (2019) New regionally modelled soil layers improve prediction of vegetation type relative to that based on global soil models. Diversity and Distributions. https://doi.org/10.1111/ddi.12973

Additionally, please cite the Dryad data package:

Cramer M, Wootton L, van Mazijk R, Verboom G (2019) Data from: New regionally modelled soil layers improve prediction of vegetation type relative to that based on global soil models. Dryad Digital Repository. https://doi.org/10.5061/dryad.37qc017
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: