Brief description
This is Version 1 of the Australian Available Phosphorus product of the Soil and Landscape Grid of Australia.The map gives a modelled estimate of the spatial distribution of available phosphorus in soils across Australia.
The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. Each product contains six digital soil attribute maps, and their upper and lower confidence limits, representing the soil attribute at six depths: 0-5 cm, 5-15 cm, 15-30 cm, 30-60 cm, 60-100 cm and 100-200 cm. These depths are consistent with the specifications of the GlobalSoilMap.net project - GlobalSoilMaps. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).
Detailed information about the Soil and Landscape Grid of Australia can be found at - SLGA
- Attribute Definition: Available Phosphorus
- Units: mg/kg;
- Period (temporal coverage; approximately): 1970-2021;
- Spatial resolution: 3 arc seconds (approx 90 m);
- Total number of gridded maps for this attribute: 18;
- Number of pixels with coverage per layer: 2007M (49200 * 40800);
- Data license: Creative Commons Attribution 4.0 (CC BY);
- Target data standard: GlobalSoilMap specifications;
- Format: Cloud Optimised GeoTIFF.
Lineage
This dataset models the spatial distribution of Available Phosphorus using a commonly measured analyte, bicarbonate - extractable phosphorus (Colwell P) (Method 9B1 & 9B2 - Rayment and Lyons 2010). It provides estimates of Colwell P across Australia for each Global Soil Map (GSM) depth interval at a 3 arcsecond resolution (80 - 100 m pixel depending on where in Australia). The data is supplied as single band GeoTIFF rasters and includes the 5th, 50th and 95th percentile predictions (Based on a 90% confidence interval) for each GSM depth.Legacy Colwell P data currently stored in government agency soil databases in Australia that are from non-fertilised, non-cropped relatively undisturbed sites is being used to estimate AP. No new P data was collected for this project. Agency data was accessed using the newly developed Soil Data Federator Web API (Searle, pers.coms.). The Cowell P point data was combined with environmental covariates from the TERN national set to build a model of how Cowell P varies across Australia. Covariates were selected that best reflected the geography, geology, and climate of Australia. The model was built using the machine learning algorithm, Random Forests, which is commonly used in digital soil mapping in Australia.
All processing for the generation of these products was undertaken using the R programming language. R Core Team (2020).
- Code - https://github.com/AusSoilsDSM/SLGA
- Observation data - https://esoil.io/TERNLandscapes/Public/Pages/SoilDataFederator/SoilDataFederator.html
- Covariate rasters - https://esoil.io/TERNLandscapes/Public/Pages/SLGA/GetData-COGSDataStore.html
Progress Code: completed
Maintenance and Update Frequency: notPlanned
Notes
CreditWe at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
The observed data used to produce this map was obtained from state and federal soil survey agencies.
This work was jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project, and CSIRO.
CSIRO maintains and makes the data through the Australian Soil Resource Information System.
Purpose
The map gives a modelled estimate of the spatial distribution of soil Available Phosphorus Capacity across Australia.
The map gives a modelled estimate of the spatial distribution of soil Available Phosphorus Capacity across Australia.
Created: 2022-07-27
Issued: 2022-10-31
Modified: 2024-09-26
Data time period: to 2022-07-27
Subjects
3-dimensional soil mapping |
30 meters - < 100 meters |
Agricultural and Veterinary Sciences |
AGRICULTURE |
Agriculture, Land and Farm Management |
Agricultural Land Management |
Agricultural Spatial Analysis and Modelling |
Attribute |
Available |
Continental |
DSM |
Decadal |
Digital Soil Mapping |
EARTH SCIENCE |
Environmental Sciences |
Global Soil Map |
LAND SURFACE |
Milligram per Kilogram |
Phosphorus |
Raster |
SLGA |
Soil Sciences |
SOILS |
Soil |
Soil Maps |
Soil Sciences Not Elsewhere Classified |
Spatial modelling |
Spatial uncertainty |
TERN |
TERN_Soils |
TERN_Soils_DSM |
environment |
geoscientificInformation |
soil phosphorus (Milligram per Kilogram) |
User Contributed Tags
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Other Information
Point-of-truth metadata URL
Methods Summary for Soil Available Phosphorus
uri :
https://aussoilsdsm.esoil.io/slga-version-2-products/available-phosphorus
Rayment, G. E., & Lyons, D. J. (2010). Soil Chemical Methods - Australasia. Australian soil and land survey handbooks. CSIRO Publishing. 10.1071/9780643101364.
doi :
http://doi.org/10.1071/9780643101364
R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Identifiers
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/c6ef289b-1ca8-4e53-b8b4-aa97e4706c63
- global : c6ef289b-1ca8-4e53-b8b4-aa97e4706c63
