Vegetation Carbon Isoscape - Landsat, Australia coverage
The dataset contains maps of total % C<sub>3</sub> and C<sub>4</sub> plant cover, proportional C<sub>3</sub> and C<sub>4</sub> vegetation (relative to combined C<sub>3</sub> and C<sub>4</sub> cover), and vegetation δ<sup>13</sup>C isoscape (stable carbon isotope values) across Australia. Data are centered on year 2015. We used vegetation and land-use rasters to categorize grid-cells (100 m<sup>2</sup>) into woody (C<sub>3</sub>), native herbaceous (C<sub>3</sub> and C<sub>4</sub>), and herbaceous cropland (C<sub>3</sub> and C<sub>4</sub>) cover. TERN Ecosystem Surveillance field surveys and environmental factors were regressed to predict native C<sub>4</sub> herbaceous cover. These layers were combined and a δ<sup>13</sup>C mixing model was used to calculate site-averaged δ<sup>13</sup>C values.
Simple
Identification info
- Date (Creation)
- 2018-09-15
- Date (Publication)
- 2024-09-19
- Date (Revision)
- 2024-12-16
- Edition
- 1.0
Identifier
Publisher
Author
Co-author
Co-author
Co-author
Co-author
Co-author
Co-author
Co-author
- Website
- https://www.tern.org.au/
- Purpose
- The purpose of this work was to create maps of C<sub>3</sub> and C<sub>4</sub> abundance in Australia, and a vegetation δ<sup>13</sup>C isoscape for the continent. Maps of C<sub>3</sub> and C<sub>4</sub> plant abundance and stable carbon isotope values (δ<sup>13</sup>C) across terrestrial landscapes are valuable tools in ecology to investigate species distribution and carbon exchange. Australia has a predominance of C<sub>4</sub>-plants, thus monitoring change in C<sub>3</sub>:C<sub>4</sub> cover and δ<sup>13</sup>C is essential to national management priorities.
- 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
- This work was funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project.
- Status
- On going
Point of contact
- Topic category
-
- Environment
- Biota
- Imagery base maps earth cover
Extent
- Description
- Continental Australia
Temporal extent
- Time period
- 2018-09-15
- Title
- A vegetation carbon isoscape for Australia built by combining continental-scale field surveys with remote sensing
- Website
-
A vegetation carbon isoscape for Australia built by combining continental-scale field surveys with remote sensing
Related documentation
- Maintenance and update frequency
- As needed
- GCMD Science Keywords
- ANZSRC Fields of Research
- TERN Platform Vocabulary
- TERN Instrument Vocabulary
- TERN Parameter Vocabulary
- QUDT Units of Measure
- GCMD Horizontal Resolution Ranges
- GCMD Temporal Resolution Ranges
- Keywords (Discipline)
-
- Stable Isotope Analysis
- Photosynthesis
- carbon-13
Resource specific usage
- Specific usage
- C<sub>3</sub>, C<sub>4</sub> and δ<sup>13</sup>C maps can be used to quantify and compare C<sub>3</sub> and C<sub>4</sub> distribution at a landscape scale. Isoscapes are useful in the study of food web dynamics and animal migration. These data could also be used to calculate fractional productivity of different photosynthetic pathways.
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
- Environment description
- Data were analysed in the R statistical environment (R Core Team 2019). TERN plot data were imported using the ‘ausplotsR’ package, a package which enables the import and analysis TERN plot survey data
- Supplemental Information
- The Australian δ<sup>13</sup>C vegetation isoscape was constructed using data primarily sourced for the year 2015. Climate conditions in 2015 for Australia were considered average and fire occurrence and intensity were relatively low. Thus, a 2015 isoscape should be a good representation of modern average conditions in Australia. The % woody cover layer was designated 100% C<sub>3</sub> vegetation. This introduces a potential source of error because some groups of shrubs may use either C<sub>3</sub> or C<sub>4</sub> photosynthesis. We were unable to identify an accurate way to distinguish and model C<sub>4</sub> shrub cover. Consequently, we made the simplifying assumption that all woody cover is C<sub>3</sub>. In some grid cells the total % C<sub>3</sub> cover values exceed 100%. This is because % C<sub>3</sub> cover includes both % woody cover and the % C<sub>3</sub> herbaceous cover that may be growing beneath the % woody cover, as described in Munroe et al. (2022). Because our approach assumed all woody cover was C<sub>3</sub>, % C<sub>4</sub> cover never exceeded 100%.
Distribution Information
- Distribution format
-
Distributor
Distributor
- OnLine resource
- Cloud Optimised GeoTIFFs
- OnLine resource
- Landscape Data Visualiser
- OnLine resource
-
model:aus_veg_carbon_isoscape
Vegetation Carbon Isoscape - Landsat, Australia coverage
- OnLine resource
- ro-crate-metadata.json
Data quality info
- Hierarchy level
- Dataset
- Other
- To assess the accuracy of the final % C<sub>4</sub> vegetation layer, we compared the predicted % C<sub>4</sub> vegetation layer outputs to the proportional % C<sub>4</sub> vegetation observed at all TERN Ecosystem Surveillance plots. We used a linear regression to quantify relationships between predicted and observed % C<sub>4</sub> vegetation values. We also compared the residual values of predicted and observed % C<sub>4</sub> vegetation in different major vegetation groups (MVG), as determined by onsite evaluations by TERN survey teams. We compared predicted leaf-δ<sup>13</sup>C values to soil organic matter (SOM) δ<sup>13</sup>C values determined samples collected at 51 TERN plots.
Report
Result
- Statement
- Comparisons between predicted and observed % C<sub>4</sub> vegetation at TERN plots returned residuals ranging from -63.4 to 73.4% (mean ± sd = 9.1 ± 24.5) and a RMSE of 26.1%. Linear regression analysis comparing predicted and observed proportional C<sub>4</sub> vegetation resulted in an adjusted-R<sup>2</sup> of 0.44. Comparisons of residuals between major vegetation group classifications revealed that residuals were smallest in heathlands, eucalypt woodlands and forests, and tussock grasses, but were largest in <em>Acacia</em>- and <em>Melaleuca</em>- dominated habitats. Comparisons between predicted leaf and soil δ<sup>13</sup>C isotope values returned a RMSE of 2.1‰. Residuals ranged from -5.40‰ to 5.44‰ with a mean value of 0.26‰ (±2.12). The line of best fit had a slope of 0.74, an intercept of -6.0, and an adjusted-R<sup>2</sup> of 0.71.
Resource lineage
- Statement
- We used vegetation and land-use rasters to categorize grid-cells (100 m<sup>2</sup>) into woody (C<sub>3</sub>), native herbaceous, and herbaceous cropland (C<sub>3</sub> and C<sub>4</sub>) cover. Field surveys and environmental factors were regressed to predict native C<sub>4</sub> herbaceous cover. These layers were combined and a δ<sup>13</sup>C mixing model was used to calculate site-averaged δ<sup>13</sup>C values.
- Hierarchy level
- Dataset
- Title
- A vegetation carbon isoscape for Australia built by combining continental-scale field surveys with remote sensing
- Website
-
https://ecoevorxiv.org/u9wh3/
Method documentation
Reference System Information
- Reference system identifier
- EPSG/EPSG:4326
- Reference system type
- Geodetic Geographic 2D
Metadata
- Metadata identifier
-
urn:uuid/dea845e6-f053-409a-b0ae-c37e3af3e9bb
- 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/dea845e6-f053-409a-b0ae-c37e3af3e9bb
Point-of-truth metadata URL
- Date info (Creation)
- 2022-04-26T00:00:00
- Date info (Revision)
- 2024-12-16T00:00:00
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