| Field | Value |
|---|---|
Title |
Soil organic carbon fractions over NSW |
Alternative title(s) |
SOC fractions over NSW |
Abstract |
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 |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Soil organic carbon fractions over NSW Function: download |
SOC fraction maps for NSW, 0-10 cm |
Name: SOC fraction maps for NSW, 0-10 cm Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps at 100 m resolution over 0-10 cm depth of three principal soil organic carbon fractions across NSW: particulate organic carbon (POC), humic organic carbon (HOC) and resistant organic carbon (ROC) (units: t/ha) Function: download |
SOC fraction maps for NSW, 10-30 cm |
Name: SOC fraction maps for NSW, 10-30 cm Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps at 100 m resolution over 10-30 cm depth of three principal soil organic carbon fractions across NSW: particulate organic carbon (POC), humic organic carbon (HOC) and resistant organic carbon (ROC) (units: t/ha) Function: download |
SOC fraction maps for NSW, 0-30 cm |
Name: SOC fraction maps for NSW, 0-30 cm Protocol: WWW:DOWNLOAD-1.0-http--download Description: Digital soil maps at 100 m resolution over 0-30 cm depth of three principal soil organic carbon fractions across NSW: particulate organic carbon (POC), humic organic carbon (HOC) and resistant organic carbon (ROC) (units: t/ha) Function: download |
SOC fraction proportions, 0-30 cm |
Name: SOC fraction proportions, 0-30 cm Protocol: WWW:DOWNLOAD-1.0-http--download Description: Relative proportions of fractions, including SOC Vulnerability Index (POC/(HOC + ROC)*100) Function: download |
Journal paper (pre-publication version) |
Name: Journal paper (pre-publication version) Protocol: WWW:DOWNLOAD-1.0-http--download Description: Pre-publication version of: Gray et al. 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 Function: download |
Unique resource identifier |
|
Code |
b6e00802-1c02-44f5-83e1-2f0abe66a17a |
Presentation form |
Map digital |
Edition |
version 1 |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/b6e00802-1c02-44f5-83e1-2f0abe66a17a |
Purpose |
For modelling soil carbon dynamics for carbon accounting |
Status |
Completed |
Spatial representation type |
grid |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
100 m |
Additional information source |
Soil profiles collected and analysed during the 2008-09 NSW Monitoring Evaluation and Recording (MER) program |
| Field | Value |
|---|---|
Topic category |
| Field | Value |
|---|---|
Keyword set |
|
keyword value |
SOIL CLIMATE-AND-WEATHER-Climate-change |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
141 |
East bounding longitude |
154 |
North bounding latitude |
-37.7 |
South bounding latitude |
-28 |
NSW Place Name |
all NSW |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
2008-03-31 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Not planned |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Lineage |
The digital soil maps of the three fractions (POC, HOC and ROC) were prepared for the three depths (0-10, 10-30 and 0-30 cm). Source data was 427 profile points across NSW collected during the 2008-09 NSW MER program with mid-infrared (MIR) derived carbon fractions, bulk density values from each site, and a set of 16 environmental predictor variables. Random forest (RF) modelling was applied with 10 bootstrap iterations and stacking the resulting outputs (using customised code with randomForest package in R statistical software). A natural log transformation was applied to the SOC values to achieve normality. Initial models were prepared for SOC density (kg m-3), but the final maps are presented as SOC stocks (Mg ha-1). Upper 95% and lower 5% prediction interval maps were derived using results from the 10 RF iterations. Validation of the final digital soil maps was carried out using a randomly selected 20% of the initial dataset. |
| Field | Value |
|---|---|
Limitations on public access |
|
| Field | Value |
|---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2019-03-30 |
Explanation |
The maps cover all NSW and the ACT |
DQ Completeness Omission |
|
Effective date |
2019-03-30 |
Explanation |
The entire area of NSW and the ACT is covered, with only minor isolated gaps, which usually cover water bodies, salt pans or similar. |
DQ Conceptual Consistency |
|
Effective date |
2019-03-30 |
Explanation |
The maps are conceptually consistent |
DQ Topological Consistency |
|
Effective date |
2019-03-30 |
Explanation |
The maps are topologically consistent |
DQ Absolute External Positional Accuracy |
|
Effective date |
2019-03-30 |
Explanation |
Map validation over the 0-30 cm depth interval revealed Lin’s concordance values of between 0.60 to 0.74 and root mean square errors (RMSE) between 1.2 and 8.5 Mg ha-1. Other data on the reliability of the initial models and final maps for each depth are presented in the associated journal paper. |
DQ Non Quantitative Attribute Correctness |
|
Effective date |
2019-03-30 |
Explanation |
The maps are based on modelling with inherent limitations in the spatial patterns, as described in the associated journal paper (Gray et al. 2019) |
| Field | Value |
|---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T13:45:22.708513 |
Metadata language |
|