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Soil and Landscape Grid National Soil Attribute Maps - Available Phosphorus (3" resolution) - Release 1 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2025-12-02
Viewed 142 times
Accessed 55 times
Dataset Created: 2022-07-27
Dataset Published: 2022-10-31
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLHTTPCloud Optimised GeoTIFFs - Available Phosphorus, v1HTTPFile Naming ConventionsWCSAVP_v1WMSAVP_v1HTTPLandscape Data Visualiser - Available Phosphorus, v1HTTPro-crate-metadata.json
How to cite this collection:
Zund, P. (2022). Soil and Landscape Grid National Soil Attribute Maps - Available Phosphorus (3" resolution) - Release 1. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25919/6qzh-b979 
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.
 
Credit
We 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. 
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
 
Method DocumentationRayment, G. E., & Lyons, D. J. (2010). Soil Chemical Methods - Australasia. Australian soil and land survey handbooks. CSIRO Publishing. 10.1071/9780643101364.Methods Summary for Soil Available PhosphorusR: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
Procedure StepsData not provided.
Temporal Coverage
From 1970-01-01 to 2022-07-27 
Spatial Resolution

Distance of 90 Meters

Vertical Extent

Data not provided.

ANZSRC - FOR
Agricultural land management
Agricultural spatial analysis and modelling
Pedology and pedometrics
Soil sciences
GCMD Sciences
AGRICULTURE
LAND SURFACE
LAND SURFACE - SOILS
Horizontal Resolution
30 meters - < 100 meters
Parameters
soil phosphorus content
Temporal Resolution
Decadal
Topic
environment
geoscientificInformation
User Defined
3-dimensional soil mapping
Attribute
Available
Continental
Digital Soil Mapping
DSM
Global Soil Map
Phosphorus
Raster
SLGA
Soil
Soil Maps
Spatial modelling
Spatial uncertainty
TERN
TERN_Soils
TERN_Soils_DSM
Author
Zund, Peter
Contact Point
Zund, Peter
Publisher
Terrestrial Ecosystem Research Network
Export to DCATExport to BibTeXExport to EndNote/Zotero
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
Contact Us
Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
TERN services are provided on an "as-is" and "as available" basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting 

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