Data

Soil organic carbon fractions over NSW

data.nsw.gov.au
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/soil-organic-carbon-fractions-over-nsw&rft.title=Soil organic carbon fractions over NSW&rft.identifier=http://data.nsw.gov.au/data/dataset/soil-organic-carbon-fractions-over-nsw&rft.publisher=data.nsw.gov.au&rft.description=The dataset contains digital soil maps of three principal soil organic carbon (SOC) fractions across NSW: particulate organic carbon (POC), humic organic carbon (HOC) and resistant organic carbon (ROC), which represent fractions of increasing bio-chemical stability. The 100 m resolution rasters cover depth intervals 0-10 cm, 10-30 cm and 0-30 cm. Maps for mean, lower 5% and upper 95% confidence intervals are provided. They were derived from random forest modelling of 427 profile points across NSW from 2008-09 with mid-infrared (MIR) derived carbon fractions and a set of 16 predictor variables. The products are important for modelling soil carbon dynamics for carbon accounting, and as a potential indicator of soil quality. The products are more fully described in: Gray JM, Karunaratne SB, Bishop TFA, Wilson BR, Veeragathipillai M 2019, Driving factors of soil organic carbon fractions over New South Wales, Australia. Geoderma 353, 213-226. https://doi.org/10.1016/j.geoderma.2019.06.032\r\n&rft.creator=Anonymous&rft.date=2025&rft.coverage=141,-37.7 141,-28 154,-28 154,-37.7 141,-37.7&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=soil carbon fractions&rft.type=dataset&rft.language=English Access the data

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Brief description

The dataset contains digital soil maps of three principal soil organic carbon (SOC) fractions across NSW: particulate organic carbon (POC), humic organic carbon (HOC) and resistant organic carbon (ROC), which represent fractions of increasing bio-chemical stability. The 100 m resolution rasters cover depth intervals 0-10 cm, 10-30 cm and 0-30 cm. Maps for mean, lower 5% and upper 95% confidence intervals are provided. They were derived from random forest modelling of 427 profile points across NSW from 2008-09 with mid-infrared (MIR) derived carbon fractions and a set of 16 predictor variables. The products are important for modelling soil carbon dynamics for carbon accounting, and as a potential indicator of soil quality. The products are more fully described in: Gray JM, Karunaratne SB, Bishop TFA, Wilson BR, Veeragathipillai M 2019, Driving factors of soil organic carbon fractions over New South Wales, Australia. Geoderma 353, 213-226. https://doi.org/10.1016/j.geoderma.2019.06.032

141,-37.7 141,-28 154,-28 154,-37.7 141,-37.7

147.5,-32.85

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Other Information
NSW Department of Climate Change, Energy, the Environment and Water

url : http://data.nsw.gov.au/data/organization/nsw-department-of-climate-change-energy-the-environment-and-water

Identifiers
ACN 633 798 857