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Silverplains FLUXNET Release 2026_r1 

Ver: 2026_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-06
Viewed 0 times
Accessed 0 times
Dataset Created: 2026-03-19
Dataset Published: 2026-04-06
Data can be accessed from the following links:
HTTPPoint-of-truth metadata URLOPeNDAP2026_r1 FLUXNET SilverplainsHTTPro-crate-metadata.json
How to cite this collection:
Hovenden, M. & Yates, B. (2026). Silverplains FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/z5rr-ww68 
This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro as described by Isaac et al. (2017) for the quality control and post-processing steps. The final, gap-filled product containing Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) has been produced using the ONEFlux software as described in Pastorello et al. (2020). This data set has been produced as part of the FLUXNET Shuttle project.
The Silver Plains flux tower is located at Interlaken, on the Tasmanian central plateau, Australia (GPS coordinates -42.15, 147.13, elevation 880m), on land owned and managed by the Tasmanian Land Conservancy. The site is a natural grassy sedgeland with an average summer temperature of 16°C, average winter temperature of 6°C, and average annual rainfall of approximately 900mm. Soil at the site is peaty, being an organosol containing on average 8 kgCm−2 in the top 10cm, overlying black vertosol on Jurassic dolerite. The vegetation at the site is heavily grazed year round by a range of native vertebrate herbivores, including wallabies, pademelons and wombats, as well as by feral fallow deer, resulting in an extremely low vegetation stature of a few centimetres, with the exception of inflorescences which can extend up to 30cm above the ground. The instrument tower is 3m tall, with carbon dioxide, water and heat fluxes being measured using an open-path eddy flux technique at 2.5m. Additional measurements include wind speed and direction, air temperature, humidity, incoming and outgoing short and longwave radiation, rainfall, soil temperature and soil water content. 
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. 
Purpose
The purpose of the Silver Plains flux tower is to: - Monitor exchanges of carbon dioxide, water vapour and energy in a high-altitude grassy peatland ecosystem on the Tasmanian Central Plateau.
- Quantify the carbon balance of the ecosystem, along with the key components of net ecosystem exchange, gross primary productivity and ecosystem respiration.
- Identify key environmental and climatic drivers of carbon, water and energy fluxes.
- Complement manual chamber measurements of net ecosystem CO2 exchange in an adjacent climate change experiment.
- Utilise measurements alongside manual chamber measurements and ancillary environmental variables to model ecosystem carbon dynamics under a future climate.
- Utilise the measurements for parameterising forage and grazing models.
- Utilise the measurements for parameterising and validating remote sensing measurements over semi-arid savanna ecosystems.
- Utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change. Additionally the Silver Plains flux site will monitor changes in ecosystem carbon dynamics in response to hydrological remediation works occurring from 2027-2028, with adjacent flux tower Wedgetail (AU-Wgt) acting as a control. 
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a <2.5m tower at the Silverplains site. The data were quality controlled using the PyFluxPro software package, see Isaac et al. (2017), which is available at https://github.com/OzFlux/PyFluxPro. Gap filling and partitioning has been done using the ONEFlux software package, see Pastorello et al. 2020, which is available at https://github.com/fluxnet/ONEFlux. 
Method DocumentationPastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation,PyFluxProONEFlux
Procedure Steps

1. 

Data is measured using standard micro-meteorological instrumentation on a flux tower. 

2. 

Data is recorded on a data logger and is collected by the site PI. 

3. 

Data quality control including removal of data outside plausible ranges, removal of spikes, exclusion of particular date ranges and removal of data based on the dependence of one variable on another is done using PyFluxPro. 

4. 

Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux. 

Spatial Description
The Silver Plains flux tower is located on the Tasmanian Central Plateau. 
Temporal Coverage
From 2019-01-01 to 2025-01-01 
Spatial Resolution

Data not provided.

Vertical Extent

Data not provided.

Data Quality Assessment Scope
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:
  • range checks for plausible limits
  • spike detection and removal
  • dependency on other variables
  • manual rejection of date ranges

Specific checks applied to the sonic and IRGA data including rejection of points based on the sonic and IRGA diagnostic values and on either automatic gain control (AGC) or CO2 and H2O signal strength, depending upon the configuration of the IRGA.

If the data quality is poor, the meteorological data is filled from ERA5 reanalysis data and fluxes are filled using the Marginal Distribution Sampling method. Filled data can be identified by the Quality Controls flags in the dataset.

The ONEFlux software used to gap fill and partition this data set also applies a Median Absolute Deviation (MAD) filter to the carbon dioxide, latent heat and sensible heat before the gap filling step. 
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). Oz
Data Quality Assessment Outcome
No anomalous data detected after quality control. 
ANZSRC - FOR
Atmospheric sciences
Carbon sequestration science
Climate change impacts and adaptation
Climatology
Ecosystem function
GCMD Sciences
ATMOSPHERE - AIR TEMPERATURE
ATMOSPHERE - EVAPOTRANSPIRATION
ATMOSPHERE - HUMIDITY
ATMOSPHERE - LATENT HEAT FLUX
ATMOSPHERE - LONGWAVE RADIATION
ATMOSPHERE - RAIN
ATMOSPHERE - SHORTWAVE RADIATION
ATMOSPHERE - VERTICAL WIND VELOCITY/SPEED
ATMOSPHERE - WATER VAPOR PROCESSES
ATMOSPHERE - WIND DIRECTION PROFILES
BIOSPHERE - RESPIRATION RATE
CLIMATE INDICATORS - CARBON FLUX
LAND SURFACE - GROSS PRIMARY PRODUCTION (GPP)
LAND SURFACE - NET ECOSYSTEM CO2 EXCHANGE (NEE)
LAND SURFACE - SENSIBLE HEAT FLUX
LAND SURFACE - SOILS
Horizontal Resolution
250 meters - < 500 meters
Parameters
air temperature
downward heat flux at ground level in soil
ecosystem respiration
gross primary productivity
lateral component of wind speed
longitudinal component of wind speed
magnitude of surface downward stress
mass concentration of water vapor in air
mole fraction of carbon monoxide in dry air
mole fraction of water vapor in air
Monin-Obukhov length
net ecosystem exchange
net ecosystem productivity
net primary productivity of biomass expressed as carbon accumulated in miscellaneous living matter
relative humidity
soil temperature
surface air pressure
surface downwelling longwave flux in air
surface downwelling shortwave flux in air
surface friction velocity
surface net downward radiative flux
surface upward latent heat flux
surface upward mole flux of carbon dioxide
surface upward sensible heat flux
surface upwelling longwave flux in air
surface upwelling shortwave flux in air
thickness of rainfall amount
volume fraction of condensed water in soil
wind from direction
wind speed
Platforms
Silver Plain Flux Station
Temporal Resolution
1 minute - < 1 hour
Topic
climatologyMeteorologyAtmosphere
environment
User Defined
AU-Sil
FLUXNET ID
Author
Hovenden, Mark
Co-Author
Yates, Bethany
Contact Point
Hovenden, Mark
Yates, Bethany
Publisher
Terrestrial Ecosystem Research Network
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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/
Please cite this dataset as {Author} ({PublicationYear}). {Title}. {Version, as appropriate}. Terrestrial Ecosystem Research Network. Dataset. {Identifier}. 
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