Grover, S. (2026). Alpine Peatland FLUXNET Release 2026_r1. Version 2026_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/gtk0-m966
Alpine Peatland FLUXNET Release 2026_r1
Ver: 2026_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-04-07
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Dataset Created: 2026-03-12
Dataset Published: 2026-04-07
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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 Alpine Peatland flux station is located on the Bogong High Plains near Falls Creek in the Victorian Alpine National Parks. It was established in 2017 and is managed by RMIT University. The Alpine Peatland flux station is supported by RMIT University, and CSIRO Environment.
The vegetation community is Alpine Sphagnum peatland, also known as Closed Heath, composed of Sphagnum moss (Sphagnum cristatum) in association with candle heath (Richea continentis), alpine baeckea (Baeckea gunniana) and rope rush (Empodisma minus). The underlying soil is peat. Elevation of the site is 1670m and mean annual precipitation is 1274mm. Mean annual average minimum and maximum temperatures are 2.6°C and 9.4°C and the area is snow covered for an average of 3 months per year.
The Victorian Alpine National Park is managed for conservation, tourism and as a water catchment for hydroelectricity production. Historic disturbance includes grazing, fire and infrastructure development.
The Alpine Peatland flux station is located on the Bogong High Plains near Falls Creek in the Victorian Alpine National Parks. It was established in 2017 and is managed by RMIT University. The Alpine Peatland flux station is supported by RMIT University, and CSIRO Environment.
The vegetation community is Alpine Sphagnum peatland, also known as Closed Heath, composed of Sphagnum moss (Sphagnum cristatum) in association with candle heath (Richea continentis), alpine baeckea (Baeckea gunniana) and rope rush (Empodisma minus). The underlying soil is peat. Elevation of the site is 1670m and mean annual precipitation is 1274mm. Mean annual average minimum and maximum temperatures are 2.6°C and 9.4°C and the area is snow covered for an average of 3 months per year.
The Victorian Alpine National Park is managed for conservation, tourism and as a water catchment for hydroelectricity production. Historic disturbance includes grazing, fire and infrastructure development.
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 Alpine Peatland flux station is to:
1) measure the exchange of carbon dioxide, water vapour and energy between an alpine peatland ecosystem and the atmosphere using micrometeorological techniques
2) support an understanding of the ecohydrology of a little-studied wetland ecosystem
3) support national parks land managers to better understand peatland ecosystem function, specifically in relation to soil carbon sequestration processes, catchment hydrology and evaporation
4) support an understanding of the impacts of global warming on ecosystem processes (such as photosynthesis, respiration or changes in ecohydrology)
5) provide a contextual basis for understanding patterns of alpine plant and animal biodiversity (e.g. abiotic factors)
6) utilise the measurements for parameterising and validating remote sensing measurements over mountain ecosystems
7) utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change.
1) measure the exchange of carbon dioxide, water vapour and energy between an alpine peatland ecosystem and the atmosphere using micrometeorological techniques
2) support an understanding of the ecohydrology of a little-studied wetland ecosystem
3) support national parks land managers to better understand peatland ecosystem function, specifically in relation to soil carbon sequestration processes, catchment hydrology and evaporation
4) support an understanding of the impacts of global warming on ecosystem processes (such as photosynthesis, respiration or changes in ecohydrology)
5) provide a contextual basis for understanding patterns of alpine plant and animal biodiversity (e.g. abiotic factors)
6) utilise the measurements for parameterising and validating remote sensing measurements over mountain ecosystems
7) utilise the measurements for parameterising and validating the Earth System models to better understand the effects of climate change.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 2.4m tower at the Alpine Peatland 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 Alpine Peatland flux tower is located n the Bogong High Plains near Falls Creek in the Victorian Alpine National Parks.
Temporal Coverage
From 2017-01-01 to 2023-01-01
Spatial Resolution
Data not provided.
Vertical Extent
Data not provided.
Data Quality Assessment Scope
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzThe data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:
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.
- 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.
Data Quality Assessment Outcome
No anomalous data detected after quality control.
ANZSRC - FOR
GCMD Sciences
Horizontal Resolution
Parameters
Platforms
Temporal Resolution
User Defined
AU-APL
FLUXNET ID
Author
Collaborator
Contact Point
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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