Soil organic carbon stock and uncertainties, 1m depth, at 250m spatial resolution in Canada
DOI:10.4121/14573526.v1
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DOI: 10.4121/14573526
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
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Categories
Geolocation
Canada
Licence CC0
Interoperability
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.ResearchDataFormat
tiffFunding
- Carbon storage and distribution in terrestrial ecosystems of Canada WWF-Canada
Organizations
McMaster University, School of Earth, Environment & Society, CanadaWorld Wildlife Fund (WWF-Canada)
DATA
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