| Field | Value |
|---|---|
Title |
Soil carbon sequestration potential with enhanced vegetation cover over NSW |
Abstract |
Digital soil maps of soil organic carbon (SOC) sequestration potential resulting from hypothetical increases in long-term vegetation cover are presented at 100-m resolution across NSW. This increase could be achieved by strategies such as revegetation, grazing management or crop residue management. By applying a 10% relative increase in vegetation cover, a mean state-wide potential increase of 5.4 t/ha over the 0-30 cm depth interval was modelled. Assuming a 20-year period of re-equilibration, this equates to an average SOC increase of 0.27 t/ha/yr. Maps and data are also derived using a 10% absolute increase in vegetation cover and a maximum potential increase in vegetation cover, being that of geographically equivalent nature reserves. The outputs can be used to identify locations of highest sequestration potential and thereby help prioritise areas and inform decisions on sequestration programs. They can provide approximate estimates of equivalent CO2 emissions avoided within the soil from these vegetation cover increases. The results could encourage formal incorporation of soil carbon sequestration in programs under Australia’s Emission Reduction Fund. The work was undertaken as part of the NSW Government's Primary Industries Productivity and Abatement Program (PIPAP). Methods and results are fully reported in Gray et al. (2021) as provided here. |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Soil carbon sequestration potential with enhanced vegetation cover over NSW Function: download |
Baseline SOC stocks for NSW |
Name: Baseline SOC stocks for NSW Protocol: WWW:DOWNLOAD-1.0-http--download Description: Modelled current SOC stocks (t/ha) for 0-30 cm Function: download |
SOC stocks under enhanced vegetation 1 |
Name: SOC stocks under enhanced vegetation 1 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Modelled grids of SOC (t/ha) under 10% relative increase in veg cover Function: download |
SOC sequestration potential under enhanced vegetation 1 |
Name: SOC sequestration potential under enhanced vegetation 1 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Modelled grids of SOC gain (t/ha) under 10% relative increase in veg. cover Function: download |
SOC stocks under enhanced vegetation 2 |
Name: SOC stocks under enhanced vegetation 2 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Modelled grids of SOC and gain (t/ha) under 10% absolute increase in veg cover Function: download |
SOC stocks under maximum likely vegetation |
Name: SOC stocks under maximum likely vegetation Protocol: WWW:DOWNLOAD-1.0-http--download Description: Modelled grids of SOC (t/ha) under veg cover equivalent to nature reserves Function: download |
SOC sequestration potential under maximum likely vegetation |
Name: SOC sequestration potential under maximum likely vegetation Protocol: WWW:DOWNLOAD-1.0-http--download Description: Modelled grids of SOC gain (t/ha) under veg cover equivalent to nature reserves Function: download |
Images for each LLS region |
Name: Images for each LLS region Protocol: WWW:DOWNLOAD-1.0-http--download Description: PDF images for each of 11 LLSs and the ACT, including potential sequestration with enhanced veg cover, plus key supporting layers. Function: download |
Journal paper, 2021 |
Name: Journal paper, 2021 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Gray JM, Wang BA, Waters CM, Orgill SE, Cowie AL, Ng EL, 2021. Digital mapping of soil carbon sequestration potential with enhanced vegetation cover over New South Wales, Australia, Soil Use and Management, https://doi.org/10.1111/sum.12766 Function: download |
Unique resource identifier |
|
Code |
44246716-3e65-4120-983a-0ebfe380e2e1 |
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/44246716-3e65-4120-983a-0ebfe380e2e1 |
Purpose |
Identify priority areas for soil carbon sequestration programs across NSW |
Status |
Completed |
Spatial representation type |
grid |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
100 m |
Additional information source |
Predictive modelling based on soil and environmental data from 2008-2016 |
| Field | Value |
|---|---|
Topic category |
| Field | Value |
|---|---|
Keyword set |
|
keyword value |
SOIL CLIMATE-AND-WEATHER-Climate-change VEGETATION LAND-Cover |
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 |
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 |
2008-03-01 |
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 study applied a digital soil mapping ‘space-for-time substitution’ approach, with a bootstrapping model framework. It involved development of a statistical model of current SOC stocks (to 30 cm depth) under current land use and vegetation cover conditions over NSW, then applying the model to estimate SOC stock under a hypothetical relative 10% increase in vegetation cover (e.g. increasing from 70% to 77%). The difference in SOC stocks between those two modelled scenarios was indicative of the realistic magnitude of feasible sequestration achievable in the long-term. Vegetation cover included live plants, standing dead vegetation and surface litter. An initial dataset of 2153 points was prepared, each with SOC stock (in Mg ha-1) for the 0-30 cm depth interval. The dataset comprised data sourced from NSW Monitoring, Evaluation and Reporting (MER) during 2008-09; the National Soil Carbon Research Program (SCaRP) 2009-2012; and miscellaneous NSW DPI projects (mainly 2014-2016). Maps were generated using a bootstrap procedure was repeated 100 times with MLR models using the same 10 variables and training dataset. This applied a sampling with replacement method, to obtain 100 random subsamples of the training data. Validation of the mean SOC map was undertaken using the originally set aside 20% validation dataset, deriving the coefficient of determination R2, Lin’s concordance correlation coefficient (CCC, giving level of agreement relative to the 1:1 line), root mean square error (RMSE) and mean absolute error (MAE). The 90% PI limits and range for the current and enhanced vegetation cover scenarios were prepared as direct outputs in R from the bootstrapping process with 100 iterations. For SOC change (sequestration), the PI range map was derived by combining the above prepared PI upper and lower limits (UL and LL). |
| Field | Value |
|---|---|
Limitations on public access |
|
| Field | Value |
|---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2021-06-30 |
Explanation |
The maps cover all NSW and the ACT |
DQ Completeness Omission |
|
Effective date |
2021-06-30 |
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 |
2021-06-30 |
Explanation |
The maps are conceptually consistent |
DQ Topological Consistency |
|
Effective date |
2021-06-30 |
Explanation |
The maps are topologically consistent |
DQ Absolute External Positional Accuracy |
|
Effective date |
2021-06-30 |
Explanation |
Map validation for current SOC stocks over the 0-30 cm depth interval revealed Lin’s concordance values of 0.72 and root mean square errors (RMSE) of 0.38 log units, indicating moderate to good reliability of the initial carbon stock maps. No validation was possible for the maps representing the projected stocks under the hypothetical enhanced vegetation cover and the resulting increase in stocks (ie, sequestration). Reliability of map results are informed by the upper and lower 90% prediction interval maps as provided in this data set. Other data and discussion on the reliability of the final modelled maps are presented in the associated journal paper (Gray et al. 2021). |
DQ Non Quantitative Attribute Correctness |
|
Effective date |
2021-06-30 |
Explanation |
The maps are based on modelling with inherent limitations in the spatial patterns, as described in the associated journal paper (Gray et al. 2021) |
| 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 |
2024-02-26T13:37:01.859531 |
Metadata language |
|