TERN Geospatial Catalogue
Soil and Landscape Grid National Soil Attribute Maps - Soil Bacteria and Fungi Beta Diversity (3" resolution) - Release 1
This is Version 1 of the Soil Bacteria and Fungi Beta Diversity product of the Soil and Landscape Grid of Australia.
The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. These products provide estimates of the Beta Diversity of soil fungi and bacteria. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90 m pixels).
These maps are generated using Digital Soil Mapping methods
Attribute Definition: Soil Bacteria and Fungi Beta Diversity
Units: NA;
Period (temporal coverage; approximately): 1950-2022;
Spatial resolution: 3 arc seconds (approx 90m);
Total number of gridded maps for this attribute: 6;
Number of pixels with coverage per layer: 2007M (49200 * 40800);
Total size before compression: about 8GB;
Total size after compression: about 4GB;
Data license : Creative Commons Attribution 4.0 (CC BY);
Format: Cloud Optimised GeoTIFF.
Simple
Identification info
- Date (Creation)
- 2022-10-06
- Date (Publication)
- 2022-12-18
- Date (Revision)
- 2014-07-14
- Edition
- 1.0
Identifier
Publisher
Author
Sydney Institute of Agriculture, University of Sydney - Dobarco, Mercedes ()
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
Sydney Institute of Agriculture, University of Sydney - Wadoux, Alexandre ()
380 Werombi Road, Camden, NSW, 2570, Australia
Camden
NSW
2570
Australia
Co-author
University of Sydney - Xue, Peipei ()
City Rd, Camperdown, NSW, 2006, Australia
Camperdown
NSW
2006
Australia
- Website
- https://www.tern.org.au/
- Purpose
- The map gives a modelled estimate of the spatial distribution of Soil Microbial Beta Diversity across Australia.
- 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.
- Credit
- The observed data used to produce this map was obtained from state and federal soil survey agencies. We used as basis the DNA sequences from the Biome of Australia Soil Environments (BASE) which were collected over a range of different sites across Australia. The work was supported by TERN. CSIRO maintains and makes the data available through the Australian Soil Resource Information System.
- Status
- Completed
Point of contact
Sydney Institute of Agriculture, University of Sydney - Dobarco, Mercedes ()
380 Werombi Road, Camden, NSW, 2570, Australia
380 Werombi Road
Camden
NSW
2570
Australia
Spatial resolution
- Spatial resolution
- 90
- Topic category
-
- Environment
- Geoscientific information
Extent
N
S
E
W
))
Temporal extent
- Time period
- 1950-01-01 2022-10-06
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Parameter Vocabulary
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
Resource constraints
- Use limitation
- The Creative Commons Attribution 4.0 International (CC BY 4.0) license allows others to copy, distribute, display, and create derivative works provided that they credit the original source and any other nominated parties. Details are provided at https://creativecommons.org/licenses/by/4.0/
- File name
- 88x31.png
- File description
- CCBy Logo from creativecommons.org
- File type
- png
- Title
- Creative Commons Attribution 4.0 International Licence
- Alternate title
- CC-BY
- Edition
- 4.0
- Access constraints
- License
- Use constraints
- Other restrictions
- Other constraints
- 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.<br /><br />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.<br /><br />Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting<br /><br />Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
- Environment description
- All processing for the generation of these products was undertaken using the R programming language. R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. 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
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
Building 1019, 80 Meiers Rd, Indooroopilly, QLD, Australia, 4068
Indooroopilly
QLD
4068
Australia
- OnLine resource
- TERN DataStore
Data quality info
- Hierarchy level
- Dataset
- Abstract
- PlaceHolder Text = Name of the report
Resource lineage
- Statement
- Soil microorganisms mediate a wide range of key processes and ecosystem services on which humans depend. In this study, we report on the biogeography and spatial pattern of soil biota for the Australian continent. We used as basis the DNA sequences from the Biome of Australia Soil Environments (BASE) which were collected over a range of different sites across Australia. We calculated the beta diversity of abundant taxa of soil bacteria and fungi, treating representative sequence data (OTUs) as individual taxa. Two ordination methods were applied to investigate the dissimilarities in microbial community composition, non-metric multidimensional scaling (NMDS) and Uniform Manifold Approximation and Projection (UMAP) for dimension reduction. The NMDS and UMAP used the weighted UniFrac distance for bacteria and Bray-Curtis dissimilarity for fungi on taxa relative abundance. The results of the NMDS for bacteria indicated that the structure of the data was captured fairly well, with a stress of 0.09. However, the stress of the fungi NMDS was 0.16, indicating that the fungi community composition was moderately well explained. We further collected a large set of environmental covariates that control the biogeography of soil biota, such as soil properties terrain attributes of vegetation indices, and of which maps are available. We fitted a quantile regression forest machine learning model to exploit the quantitative relationship between point-estimated values of beta diversity and environmental covariates, and used to model to predict beta diversity across Australia along with an estimate of uncertainty. Soil property and vegetation are the dominant controls of soil biota. The resulting maps also reveal the pattern of soil biota which can further be used for regional assessment of soil biodiversity and from which degradation induced by global changes can be monitored. 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
- Hierarchy level
- Dataset
- Title
- Bacteria and Fungi Beta Diversity
- Website
-
https://aussoilsdsm.esoil.io/slga-version-2-products/bacteria-and-fungi-beta-diversity
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
- urn:uuid/4a428d52-dda6-4097-8dd9-d3ec63973029
- Language
- English
- Character encoding
- UTF8
Point of contact
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/4a428d52-dda6-4097-8dd9-d3ec63973029
Point-of-truth metadata URL
- Date info (Creation)
- 2021-08-10T00:00:00
- Date info (Revision)
- 2022-12-18T23:39:46
Metadata standard
- Title
- ISO 19115-1:2014/AMD 1:2018 Geographic information - Metadata - Fundamentals
- Edition
- 1
Metadata standard
- Title
- ISO/TS 19115-3:2016
- Edition
- 1.0
Metadata standard
- Title
- ISO/TS 19157-2:2016
- Edition
- 1.0
- Title
- Terrestrial Ecosystem Research Network (TERN) Metadata Profile of ISO 19115-3:2016 and ISO 19157-2:2016
- Date (published)
- 2021
- Edition
- 1.0
Identifier
Overviews
thumbnail
Spatial extent
N
S
E
W
Provided by
Associated resources
Not available