Australian Terrestrial and Coastal Marine (Blue) Carbon Stocks
The soil in terrestrial and blue carbon ecosystems (BCE; mangroves, tidal marshes, seagrasses) is a significant carbon (C) sink. National assessments of C inventories are needed to protect them and aid nature-based strategies to sequester atmospheric carbon dioxide. We harmonised measurements from Australia's terrestrial and BCE and, using consistent multi-scale spatial machine learning, unravelled the drivers of soil organic carbon (SOC) variation and digitally mapped their stocks. The modelling shows that climate and vegetation are continentally the primary drivers of SOC variation. But the underlying regional drivers are ecosystem type, terrain, clay content, mineralogy, and nutrients. The digital soil maps indicate that in the 0-30 cm soil layer, terrestrial ecosystems hold 27.6 Gt (19.6-39.0 Gt), and BCE 0.35 Gt (0.20-0.62 Gt). Tall open eucalypt and mangrove forests have the largest mean SOC per unit area. Eucalypt woodlands and hummock grassland, which occupy vast areas, store the largest total SOC stock. These ecosystems constitute important regions for conservation, emissions avoidance, and preservation because they also provide additional co-benefits.
Simple
Identification info
- Date (Creation)
- 2022-12-01
- Date (Publication)
- 2024-09-24
- Date (Revision)
- 2024-09-24
- Edition
- 0.01
Identifier
Publisher
Author
Curtin University - Viscarra Rossel, Raphael A. ()
Kent Street, Bentley, Western Australia, 6102, Australia
Bentley
Western Australia
6102
Australia
Author
Curtin University - Walden, Lewis ()
Kent Street, Bentley, Western Australia, 6102, Australia
Bentley
Western Australia
6102
Australia
- Website
- https://www.tern.org.au/
- Purpose
- A fine spatial resolution, spatially explicit dataset on the soil organic carbon stocks (t/ha) in Australia's terrestrial and coastal marine (or blue carbon: mangroves, tidal marshes, seagrasses) ecosystems. The data provides a consistently-derived and up-to-date baseline of Australia's 0-30 cm soil carbon stocks. Can be used by land managers, researchers, and policy-makers.
- 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
- Authors thank the Australian Government for funding this research via grant ACSRIV000077. We thank all co-authors and their contributions, and the many colleagues who contributed to the collection of soil samples and data used in this research. This work is also supported by the use of (i) Terrestrial Ecosystem Research Network (TERN) infrastructure, which is enabled by the Australian Government’s National Collaborative Research Infrastructure Strategy (NCRIS), and (ii) computational resources in the Pawsey Supercomputing Centre, which is funded by the Australian Government and the Government of Western Australia.
- Status
- Completed
Point of contact
Curtin University - Viscarra Rossel, Raphael A. ()
Kent Street, Bentley, Western Australia, 6102, Australia
Kent Street
Bentley
Western Australia
6102
Australia
- Topic category
-
- Environment
- Geoscientific information
Extent
- Description
- All of Australia, including terrestrial and coastal marine (mangroves, tidal marshes, seagrasses) ecosystems.
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W
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Temporal extent
- Time period
- 2005-01-01 2015-01-01
- Maintenance and update frequency
- Not planned
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Vertical 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 />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
- Other constraints
- Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}.
Resource constraints
- Classification
- Unclassified
Distribution Information
Distributor
Distributor
- Distribution format
-
- NetCDF
Distribution Information
Distributor
Distributor
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia
Indooroopilly
Queensland
4068
Australia
- Distribution format
-
- OnLine resource
- Cloud Optimised GeoTIFFs
- OnLine resource
- Landscape Data Visualiser
- OnLine resource
-
Australian Terrestrial and Coastal Marine (Blue) Carbon Stocks
s30cu
- OnLine resource
- ro-crate-metadata.json
Data quality info
- Hierarchy level
- Dataset
- Abstract
- PlaceHolder Text = Name of the report
Report
Result
- Statement
- Multi-scale spatial machine learning. <br>The modelling and validation accuracies are as follows.</br> <br>Model training:<ul style="list-style-type: disc;"> <li>Root mean squared error (RMSE) = 0.20 (min, max: 0.18 - 0.22) - log<sub>10</sub> t/ha</li> <li>Lin's concordance correlation = 0.76 (0.72-0.8).</li></ul> </br><br> Model validation:<ul style="list-style-type: disc;"> <li>RMSE = 0.20 (0.19-0.21) - log<sub>10</sub> t/ha</li> <li>Mean error (ME) = -0.01 (-0.03 - -0.004) </li> <li>Standard deviation of error (SDE) = 0.20*(0.19-0.21)</li> <li>Lin's concordance correlation = 0.76 (0.72-0.8).</li></ul>
Resource lineage
- Statement
- The data was produced using a compilation of various regional datasets. They were analysed and harmonised using statistical methods that are described in the publication that describes the research - Walden et al. (2023) in Communications Earth & Environment.
- Hierarchy level
- Dataset
Reference System Information
- Reference system identifier
- EPSG/EPSG:3577
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/8d40defa-86e2-476f-b01d-cb16b240406e
- Title
- TERN GeoNetwork UUID
- 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/8d40defa-86e2-476f-b01d-cb16b240406e
Point-of-truth metadata URL
- Date info (Creation)
- 2023-05-23T00:00:00
- Date info (Revision)
- 2024-09-24T00:00:00
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
Spatial extent
N
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E
W
Provided by
Associated resources
Not available