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A comparison of geographic datasets and field measurements to model soil carbon using random forests and stepwise regressions (British Columbia, Canada)

Heather J. RichardsonDepartment of Natural Resource Sciences, Thompson Rivers University, Kamloops, BC, CanadaCorrespondence[email protected]
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David J. HillDepartment of Geography and Environmental Studies, Thompson Rivers University, Kamloops, BC, CanadaView further author information

Dan R. DenesiukDepartment of Natural Resource Sciences, Thompson Rivers University, Kamloops, BC, CanadaView further author information

Lauchlan H. FraserDepartment of Natural Resource Sciences, Thompson Rivers University, Kamloops, BC, CanadaView further author information

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Figure 1. Sample site locations of range reference areas within the grassland of the south-central interior of British Columbia, Canada. For full colour versions of the figures in this paper, please see the online version.

Table 1. GIS for soil carbon modeling and mapping.

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Table 2. Stepwise regression for 2014 soil carbon in grazed and non-grazed systems comparing Normalized Difference Vegetation Index derived from MODIS (NDVI_MODIS) and the multispectral radiometer (NDVI_MSR).

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Table 3. Random forest for 2014 soil carbon in grazed and non-grazed systems comparing normalized difference vegetation index derived from MODIS (NDVI_MODIS) and the multispectral radiomete(NDVI_MSR).

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Figure 2. Predicted soil carbon (SC) percentage in the top 10 cm of the soil column based on stepwise regression (SR) and random forest (RF) models: (a) SR grazed 2014, (b) SR fenced (non-grazed) 2014, (c) RF grazed 2014, (d) RF fenced (non-grazed) 2014.

Table A Range Reference Area (RRA) sites used for soil sampling

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A comparison of geographic datasets and field measurements to model soil carbon using random forests and stepwise regressions (British Columbia, Canada)

Table 1. GIS for soil carbon modeling and mapping.

Table 2. Stepwise regression for 2014 soil carbon in grazed and non-grazed systems comparing Normalized Difference Vegetation Index derived from MODIS (NDVI_MODIS) and the multispectral radiometer (NDVI_MSR).

Table 3. Random forest for 2014 soil carbon in grazed and non-grazed systems comparing normalized difference vegetation index derived from MODIS (NDVI_MODIS) and the multispectral radiomete(NDVI_MSR).

Table A Range Reference Area (RRA) sites used for soil sampling

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A comparison of geographic datasets and field measurements to model soil carbon using random forests and stepwise regressions (British Columbia, Canada)

Figures & data

Table 1. GIS for soil carbon modeling and mapping.

Table 2. Stepwise regression for 2014 soil carbon in grazed and non-grazed systems comparing Normalized Difference Vegetation Index derived from MODIS (NDVIMODIS) and the multispectral radiometer (NDVIMSR).

Table 3. Random forest for 2014 soil carbon in grazed and non-grazed systems comparing normalized difference vegetation index derived from MODIS (NDVIMODIS) and the multispectral radiomete(NDVIMSR).

Table A Range Reference Area (RRA) sites used for soil sampling

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Table 2. Stepwise regression for 2014 soil carbon in grazed and non-grazed systems comparing Normalized Difference Vegetation Index derived from MODIS (NDVI_MODIS) and the multispectral radiometer (NDVI_MSR).

Table 3. Random forest for 2014 soil carbon in grazed and non-grazed systems comparing normalized difference vegetation index derived from MODIS (NDVI_MODIS) and the multispectral radiomete(NDVI_MSR).