Beringer, J. & Moore, C. (2026). Boyagin FLUXNET Release 2025_r1. Version 2025_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/etr2-2p40
Boyagin FLUXNET Release 2025_r1
Ver: 2025_r1
Status of Data: completed
Update Frequency: annually
Security Classification: unclassified
Record Last Modified: 2026-03-25
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Dataset Created: 2025-12-11
Dataset Published: 2026-03-25
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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 (v3.4.21) 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 Boyagin Wandoo Woodland flux station is located approximately 12km west of Pingelly, near Perth, Western Australia. It was established in September 2017 and is managed by the University of Western Australia. The flux tower site is located within an area of wandoo woodland. The surrounding area is dominated by broadacre farming practices. Elevation of the site is close to 484m and mean annual precipitation at a nearby Bureau of Meteorology site at Pingelly measures 446mm. Maximum temperatures range from 15.3°C (in July) to 31.9°C (in Jan), while minimum temperatures range from 5.5°C (in July) to 15.5°C (in Jan). The instrument mast is 4 meters tall. Heat, water vapour, and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall and net radiation are measured. Soil heat fluxes are measured and soil moisture content are collected.
The Boyagin Wandoo Woodland flux station is located approximately 12km west of Pingelly, near Perth, Western Australia. It was established in September 2017 and is managed by the University of Western Australia. The flux tower site is located within an area of wandoo woodland. The surrounding area is dominated by broadacre farming practices. Elevation of the site is close to 484m and mean annual precipitation at a nearby Bureau of Meteorology site at Pingelly measures 446mm. Maximum temperatures range from 15.3°C (in July) to 31.9°C (in Jan), while minimum temperatures range from 5.5°C (in July) to 15.5°C (in Jan). The instrument mast is 4 meters tall. Heat, water vapour, and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall and net radiation are measured. Soil heat fluxes are measured and soil moisture content are collected.
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 Boyagin flux station is to:
- -Monitor and determine the balance of environmental demands for water yields, agricultural productivity, GHG budgets and biodiversity within a catchment landscape.
- -Provide information to establish a modelling tool for GHG and water fluxes across various land use types, in order to benefit land management practices in the wheatbelt of Western Australia.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 4m tower at the Boyagin 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, Biogeosciences, 14: 2903-2928PyFluxProONEFlux
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 Boyagin Wandoo Woodland flux tower is located in the wheatbelt of Western Australia about 200km southeast from Perth, Western Australia.
Temporal Coverage
From 2017-10-20 to 2025-01-01
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). OzFlux data: network integration from collection to curation, Biogeosciences, 14: 2903-2928The 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
Temporal Resolution
User Defined
AU-Boy
FLUXNET ID
Author
Contact Point
Principal Investigator
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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