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Primary Production and Carbon Mass of Australian Grasslands and Pastures 

Ver: 1.0
Status of Data: completed
Update Frequency: notPlanned
Security Classification: unclassified
Record Last Modified: 2024-12-16
Viewed 24158 times
Accessed 196 times
Dataset Created: 2020-03-03
Dataset Published: 2020-06-18
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAPPasture Productivity via OPeNDAPOPeNDAPPasture Productivity via THREDDSHTTPro-crate-metadata.json
How to cite this collection:
Donohue, R. (2020). Primary Production and Carbon Mass of Australian Grasslands and Pastures. Version 1.0. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/5ea2468c1ed15 
This dataset is modelled national pasture productivity. It describes the dynamics in grassland/pasture Gross Primary Production (GPP), Net Primary Production (NPP) and Carbon mass. GPP indicates total rate of carbon fixed through photosynthesis, in units gC/m2/day. It is the GPP of grasses only and so describes the production of grasslands and pastures. GPP is estimated separately for C3 and for C3 grasses using the Diffuse model (Donohue et al. 2014, see publication links). NPP is the net rate of carbon fixed through photosynthesis (GPP minus plant respiration) for grasses, in units of gC/m2/day. Grass carbon mass is the above-ground mass of grasslands and pastures, estimated using the CSP model. These are estimated using the unpublished CSP model (v2) for both live and senesced mass in units t/ha. Biomass is typically approximated as double the carbon mass. Inputs include MODIS MOD13Q1, minimum and maximum air temperature, elevation data and rainfall as described in the lineage section. 
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. CSIRO Food and Agriculture TERN landscapes 
Purpose
The aim of the research was to develop a nationally consistent estimate of the productivity and mass of grasslands and pastures, with a particular focus on capturing the temporal dynamics. Integration of satellite imagery was a core component. 
Lineage
GPP inputs are MODIS MOD13Q1 data along with minimum and maximum air temperature and elevation data. GPP is estimated separately for C3 and for C3 grasses using the Diffuse model (Donohue et al. 2014, see publication links). NPP and Grass Carbon Mass have the same inputs as GPP with the addition of rainfall data. NPP and Carbon Mass are estimated using the unpublished CSP model (v2). 
Method DocumentationData not provided.
Procedure StepsData not provided.
Australia
Temporal Coverage
From 2001-01-01 to 2018-12-31 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
Due to the scarcity of grass productivity and biomass data, validation of model outputs has only been rudimentary. CSP-modelled GPP has been compared to modelled GPP based on four grassland flux tower observations. Grass biomass has been compared to approximately 30 site observations from south-eastern, central and far northern Australia. 
Data Quality Report
Data not provided. 
Data Quality Assessment Outcome
Comparison to 4 grassland Australian flux tower sites, the modelled GPP explained 83% of the tower GPP variability with an RMSE of 1.5 gC/m2/day. Grass biomass estimates had a low r-squared value and an RMSE of 2.1 t/ha. Biomass error was highest in central Australia. 
ANZSRC - FOR
Crop and pasture biomass and bioproducts
GCMD Sciences
BIOSPHERE
Horizontal Resolution
250 meters - < 500 meters
Instruments
MODIS
Parameters
aboveground carbon mass
gross primary productivity of carbon
net primary productivity of carbon
Platforms
Terra
Temporal Resolution
Weekly - < Monthly
Topic
environment
Author
Donohue, Randall
Contact Point
Donohue, Randall
Processor
Bala, Biswajit
Publisher
Terrestrial Ecosystem Research Network
Donohue, R.J. et al., 2014. Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation. Remote Sensing of Environment
Supplemental Information
GPP, NPP and Carbon mass datasets are created on every 16 days from 2001 January to Dec 2018. File naming convention for GPP is GPP__.nc, NPP is NPP__.nc and cor carbon mass Cmass__.nc 
Resource Specific Usage
Data not provided. 
Environment Description
Data not provided. 
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Terrestrial Ecosystem Research Network
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Creative Commons Attribution 4.0 International Licence
https://creativecommons.org/licenses/by/4.0/
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 
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 

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Version:6.2.22