Soil organic carbon stock and uncertainties, 1m depth, at 250m spatial resolution in Canada

DOI:10.4121/14573526.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/14573526

Datacite citation style

Camile Sothe; Gonsamo, Alemu; James Snider; Joyce Arabian; Werner A. Kurz et. al. (2021): Soil organic carbon stock and uncertainties, 1m depth, at 250m spatial resolution in Canada. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14573526.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This project aimed to produce the first wall-to-wall estimate of C stocks in plants and soils of Canada at 250 m spatial resolution. This dataset contains the map with the soil organic carbon (SOC) in kg/m² for entire Canada in 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 6,533 ground soil samples, long-term climate data, remote sensing observations and a machine learning model. The soil samples containing the x and y coordinates, depth and SOC (in g/kg) information were overlaid with the stacked covariates (soil forming factors) to compose the regression matrix. Random forest models were trained using a recursive feature elimination scheme and a cross-validation assessment. The best model was used for spatial prediction of SOC over Canada in intermediate depths between 0 and 1 m. Afterwards, the SOC content maps were corrected with bulk density and coarse fragment information to compute the total carbon stock for each horizon. The horizons have been added to compose the 0-1m depth interval multiplied by root depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. The SOC stock uncertainty map was built using the first and third quantiles of RF quantile regression approach.

History

  • 2021-05-18 first online, published, posted

Publisher

4TU.ResearchData

Format

tiff

Funding

  • Carbon storage and distribution in terrestrial ecosystems of Canada WWF-Canada

Organizations

McMaster University, School of Earth, Environment & Society, Canada
World Wildlife Fund (WWF-Canada)

DATA

Files (2)