Field | Value |
---|---|
Title |
NSW eastern forest soil condition: empirical soil maps |
Alternative title(s) |
Determining baselines and trends of soil health and stability in NSW forests – Regional Forest Agreement regions: An empirical approach |
Abstract |
This dataset includes four soil products using an empirical approach to assess soil condition indicators and complete a data gap analysis covering the Regional Forest Agreement regions of eastern NSW. In the empirical analysis, maps presented soil indicator values of topsoil pH, organic carbon and emerson aggregate stability for each of the 2162 soil map units, based on the unit's most representative soil profile available within the Soil and Land Information System (SALIS). Maps reflect values when the sampling occurred with temporal changes not being accounted for and used the 2008 woody vegetation coverage as the baseline extent. The dataset identifies the locations where data is missing or of poor quality, providing a confidence rating map as part of the evaluation process. Full description of the empirical maps and methods are presented in: Moyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ, 2021. _Determining baselines, drivers and trends of soil health and stability in New South Wales forests: NSW Forest Monitoring & Improvement Program_v1.1, Final report for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney. |
Resource locator |
|
Data quality statement |
Name: Data quality statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for NSW eastern forest soil condition: empirical soil maps. Function: download |
Eastern forest empirical soil dataset |
Name: Eastern forest empirical soil dataset Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download the version 1 of package: GIS spatial map linework, ESRI layer files, soil indicator PDF maps, Final report and metadata. [ SIZE: 336MB] Function: download |
Empirical soil indicator maps |
Name: Empirical soil indicator maps Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download PDF version 1 of indicator maps - pH, Organic Carbon, Emerson aggregate and Profile data confidence. Report and metadata also included. Function: download |
NSW eastern forest soil condition report v1.1 |
Name: NSW eastern forest soil condition report v1.1 Protocol: WWW:DOWNLOAD-1.0-http--download Description: Download the technical report: Determining baselines, drivers and trends of soil health and stability in NSW forests – RFA regions. Function: download |
Unique resource identifier |
|
Code |
d1d8caa6-d92a-4806-a6e9-90425d13f68e |
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/d1d8caa6-d92a-4806-a6e9-90425d13f68e |
Purpose |
For monitoring and managing soil condition in eastern NSW forests into the future. |
Status |
Planned |
Spatial representation |
|
Type |
vector |
Geometric Object Type |
surface |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
100 m |
Additional information source |
Spatial GIS shapefile attribute table fieldnames:
|
Field | Value |
---|---|
Topic category |
Field | Value |
---|---|
Keyword set |
|
keyword value |
SOIL SOIL-Erosion FORESTS CLIMATE-AND-WEATHER-Climate-change |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
148 |
East bounding longitude |
154 |
North bounding latitude |
-37.7 |
South bounding latitude |
-28 |
NSW Place Name |
Regional Forest Agreement Regions of eastern 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 |
1990-01-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
As needed |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Natural Resources Commission |
Telephone number |
131555 |
Facsimile number |
02 9995 5999 |
Email address |
|
Web address |
https://www.nrc.nsw.gov.au/ |
Responsible party role |
pointOfContact |
Field | Value |
---|---|
Lineage |
The empirical soil indicator maps were created by linking existing soil landscape spatial data with NSW SALIS soil profile data. There were 2162 soil map units within the Regional Forest Agreement study area and approximately 2100 soil profiles with some supporting laboratory data were available for the analysis. Most of the detailed profiles were collected from past NSW soil survey program activities. The approach designated each landscape unit with a representative soil profile. This soil profile was selected from within a landscape unit based on several ranked criteria to determine the most representative soil data. Criteria included its:
The lab results of the selected soil profile were considered to be representative of the whole landscape unit (ideally coming from a forested location of the dominant facet or sub-landscape area) and attributed to the Geographic Information System (GIS) spatial layer to produce the maps The key soil indicators maps produced included pHca, Total Soil Organic Carbon, and Emerson Aggregate Test. Indicator values are representative of the surface A1 horizon layer of the soil. |
Field | Value |
---|---|
Limitations on public access |
|
Field | Value |
---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2021-07-16 |
Explanation |
Only soil map units mapped as woody vegetation in 2008 within the Regional Forest Agreement regions were assessed. As a priority, soil profiles were selected to represent the landscape unit from within these areas. In some cases, profiles were used from within the same landscape unit, but outside this forested extent, e.g. cleared grazing land. For these profiles, indicator values were allocated a lower confidence rating. It is noted that some profile data used in the analysis was selected from outside the NSW 2008 woody vegetation layer extent, but were reflective of forested soil conditions at time of sampling (i.e. the land use or vegetation cover was different at the time of sampling than it was in 2008 and the sample was collected from a location which was forested at the time). A forest condition representativeness index was used in the analysis to help account for this situation and enable more appropriate profile selection. |
DQ Completeness Omission |
|
Effective date |
2021-07-16 |
Explanation |
This empirical dataset did not use any soil profile data or spatial soil mapping from outside of the NSW RFA regions. The mapping of soil indicators also only occurred from within the woody vegetation extent of 2008. In this version, a small amount of laboratory data was either temporarily unavailable or in an unusable format and therefore not incorporated into the final products. A future version of this dataset proposed to be published in November 2021 will likely update and rectify these data gaps. The attribute table of the spatial shapefile is complete with all available data. Some profiles within the RFA regions, may not be attributed with both classification systems in SALIS and have been left blank. For numerical soil indicator fields, there is no natural test value recorded for zero and hence missing values in this case were assigned a zero number. The numeric value assigned for water is -99 and Not assessed is -98. |
DQ Conceptual Consistency |
|
Effective date |
2021-07-16 |
Explanation |
In the analysis, soil profile data was not used to represent multiple map units within the RFA area. A standardised process using set criteria was also implemented for consistency during the assessment and assigning of soil profiles to representative spatial soil landscape areas. |
DQ Topological Consistency |
|
Effective date |
2021-07-16 |
Explanation |
ArcGIS was used to remove all topological errors including unwanted gaps and overlapping polygons. A cluster tolerance of 0.000003 decimal degrees (~0.3 m) was set. |
DQ Absolute External Positional Accuracy |
|
Effective date |
2021-07-16 |
Explanation |
These maps used existing soil landscape mapping with a published scale of 1:100,000. Therefore linework has a theoretical accuracy of around 100m on the ground. This will vary between different areas across the RFAs, being also dependant on the type of survey completed there and it's quality. An assumption was made that all soil profile data was representative of the exact locational position assigned with the profile, which is particularly important when conducting GIS spatial join interpretations. While this is generally reliable, especially for later profiles collected with a GPS, some degree of quality verification and checking would be recommended to establish or refine detailed on-ground forest soil monitoring assessments. |
DQ Non Quantitative Attribute Correctness |
|
Effective date |
2021-07-16 |
Explanation |
An indication of the confidence and quality of soil profile data used to assess forest soil condition was provided as part of the dataset. The classification system is outlined below:
Other assumptions made regarding the attribute data include:
|
Field | Value |
---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Natural Resources Commission |
Telephone number |
131555 |
Facsimile number |
02 9995 5999 |
Email address |
|
Web address |
https://www.nrc.nsw.gov.au/ |
Responsible party role |
pointOfContact |
Field | Value |
---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Natural Resources Commission |
Telephone number |
131555 |
Facsimile number |
02 9995 5999 |
Email address |
|
Web address |
https://www.nrc.nsw.gov.au/ |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T12:54:35.607071 |
Metadata language |
|