Arndt, S., Griebel, A. & Hinko-Najera, N. (2026). Wombat State Forest FLUXNET Release 2025_r1. Version 2025_r1. Terrestrial Ecosystem Research Network. Dataset. https://dx.doi.org/10.25901/06ka-c669
Wombat State Forest 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 Wombat Flux research site was established in January 2010. The site is located within the Wombat State Forest, between Ballarat and Daylesford in Central Victoria, 100km west of Melbourne. It is managed by The University of Melbourne in collaboration with Monash University and the Department of Sustainability and Environment of Victoria.The site is a secondary re-growth forest that was last harvested in 1980. Dominant tree species are Eucalyptus obliqua (messmate stringybark), Eucalyptus radiata (narrow leaf peppermint) and Eucalyptus rubida (candlebark) with an average canopy height of 25m. The understorey consists mainly of patchy grasses and the soil is a silty-clay overlying clay. The forest is managed by the Department of Sustainability and Environment and management includes selective harvesting and prescribed burning regimes. The climate of the study area is classified as cool-temperate to Mediterranean zone with cold and wet winters (May-Aug) and warm and dry summers (Dec-Feb). Mean annual rainfall in the region in the last 20 years was between 600-700 mm.
The Wombat Flux research site was established in January 2010. The site is located within the Wombat State Forest, between Ballarat and Daylesford in Central Victoria, 100km west of Melbourne. It is managed by The University of Melbourne in collaboration with Monash University and the Department of Sustainability and Environment of Victoria.The site is a secondary re-growth forest that was last harvested in 1980. Dominant tree species are Eucalyptus obliqua (messmate stringybark), Eucalyptus radiata (narrow leaf peppermint) and Eucalyptus rubida (candlebark) with an average canopy height of 25m. The understorey consists mainly of patchy grasses and the soil is a silty-clay overlying clay. The forest is managed by the Department of Sustainability and Environment and management includes selective harvesting and prescribed burning regimes. The climate of the study area is classified as cool-temperate to Mediterranean zone with cold and wet winters (May-Aug) and warm and dry summers (Dec-Feb). Mean annual rainfall in the region in the last 20 years was between 600-700 mm.
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 Wombat Forest research site facilitates the investigation of complex ecosystem processes of the carbon, water and nutrient cycle in a dry-sclerophyll forest ecosystem that is typical for many forests in Australia. This research will help to assess the impact of future environmental change on forest ecosystems in Australia. The Wombat Forest research site will: Quantify the carbon sink/source strength of a dry sclerophyll forest and identify the contribution of such forests to the Australia's National Carbon Inventory Quantify the emission and/or uptake of non-CO2 greenhouse gases, such as nitrous oxide and methane of the forest Assess the role of climate variability and drought on ecosystem processes Assess the impact of disturbances (such as fire) on ecosystem processes Provide a database of microclimate and ecological parameters for use in carbon and water modelling projects.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 35m tower at the wombat State Forest 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 Wombat Forest flux tower is located in the Wombat State Forest, Victoria, South Eastern Australia
Temporal Coverage
From 2010-01-20 to 2025-02-02
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-Wom
FLUXNET ID
Author
Co-Author
Contact Point
Principal Investigator
Terrestrial Ecosystem Research Network
80 Meiers Road, Indooroopilly, Queensland, 4068, Australia.
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