Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0
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 30cm and 1m depth, and the uncertainty in SOC predictions. The SOC stock...
Main Authors: | , , , , , |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
2022
|
Subjects: | |
Online Access: | https://search.dataone.org/view/sha256:b6a5b2c9092ee43e1b97a5aa80476e4f389a5c1b6af452f9ed96fbb8d08a2ba7 |
id |
dataone:sha256:b6a5b2c9092ee43e1b97a5aa80476e4f389a5c1b6af452f9ed96fbb8d08a2ba7 |
---|---|
record_format |
openpolar |
spelling |
dataone:sha256:b6a5b2c9092ee43e1b97a5aa80476e4f389a5c1b6af452f9ed96fbb8d08a2ba7 2024-10-03T18:46:11+00:00 Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 Gonsamo, Alemu Sothe, Camile Snider, James Finkelstein, Sarah Arabian, Joyce Kurz, Werner 2022-02-17T00:00:00Z https://search.dataone.org/view/sha256:b6a5b2c9092ee43e1b97a5aa80476e4f389a5c1b6af452f9ed96fbb8d08a2ba7 unknown Earth and Environmental Sciences Canada soil carbon stock soil carbon storage soil carbon stock soil carbon density Dataset 2022 dataone:urn:node:BOREALIS 2024-10-03T18:18:03Z 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 30cm and 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 39,323 ground samples of soil organic carbon concentration (g/kg) distributed in 6,533 sites, 11,068 ground samples of bulk density (kg/dm3) distributed in 2,157 sites, 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 (0cm, 5cm, 15cm, 30cm, 60cm, 100cm). Afterwards, the SOC stock of each depth increment was computed using SOC concentration and bulk density maps, and corrected with coarse fragment information. The depth increments have been added to compose the 0-30cm and 0-1m depth intervals multiplied by rooting depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. Ground ice in permafrost areas was discounted according to ice abundance using the ground ice map of Canada. The SOC stock uncertainty map is the difference between the first and third quantiles of a quantile regression forest approach of SOC concentration and bulk density prediction (90% confidence interval). Dataset Ice permafrost Unknown Canada |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
dataone:urn:node:BOREALIS |
language |
unknown |
topic |
Earth and Environmental Sciences Canada soil carbon stock soil carbon storage soil carbon stock soil carbon density |
spellingShingle |
Earth and Environmental Sciences Canada soil carbon stock soil carbon storage soil carbon stock soil carbon density Gonsamo, Alemu Sothe, Camile Snider, James Finkelstein, Sarah Arabian, Joyce Kurz, Werner Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 |
topic_facet |
Earth and Environmental Sciences Canada soil carbon stock soil carbon storage soil carbon stock soil carbon density |
description |
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 30cm and 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 39,323 ground samples of soil organic carbon concentration (g/kg) distributed in 6,533 sites, 11,068 ground samples of bulk density (kg/dm3) distributed in 2,157 sites, 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 (0cm, 5cm, 15cm, 30cm, 60cm, 100cm). Afterwards, the SOC stock of each depth increment was computed using SOC concentration and bulk density maps, and corrected with coarse fragment information. The depth increments have been added to compose the 0-30cm and 0-1m depth intervals multiplied by rooting depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. Ground ice in permafrost areas was discounted according to ice abundance using the ground ice map of Canada. The SOC stock uncertainty map is the difference between the first and third quantiles of a quantile regression forest approach of SOC concentration and bulk density prediction (90% confidence interval). |
format |
Dataset |
author |
Gonsamo, Alemu Sothe, Camile Snider, James Finkelstein, Sarah Arabian, Joyce Kurz, Werner |
author_facet |
Gonsamo, Alemu Sothe, Camile Snider, James Finkelstein, Sarah Arabian, Joyce Kurz, Werner |
author_sort |
Gonsamo, Alemu |
title |
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 |
title_short |
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 |
title_full |
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 |
title_fullStr |
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 |
title_full_unstemmed |
Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0 |
title_sort |
soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in canada, version 3.0 |
publishDate |
2022 |
url |
https://search.dataone.org/view/sha256:b6a5b2c9092ee43e1b97a5aa80476e4f389a5c1b6af452f9ed96fbb8d08a2ba7 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Ice permafrost |
genre_facet |
Ice permafrost |
_version_ |
1811925417733390336 |