Brief description
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 Samford flux station is situated on an improved (Paspalum dilatum) pasture in the humid subtropical climatic region of coastal south-east Queensland (GPS coordinates: -27.3881, 152.8778). Located only 20km from the centre of Brisbane city, Samford valley provides an ideal case study to examine the impact of urbanisation and land use change on ecosystem processes.
The valley covers an area of some 82km2 and is drained in the southern regions by the Samford Creek, which extends some 13km to Samford Village and into the South Pine River.
The Samford Valley is historically a rural area experiencing intense urbanisation, with the population increasing almost 50% in the 10 years to 2006 (Morton Bay Regional Council, 2011). Within the Samford valley study region, the Samford Ecological Research Facility (SERF) not only represents a microcosm of current and historical land uses in the valley, but provides a unique opportunity to intensively study various aspects of ecosystem health in a secure, integrated and long term research capacity.
Mean annual minimum and maximum temperatures at a nearby Bureau of Meteorology site are 13.1°C and 25.6°C respectively while average rainfall is 1102mm.
Lineage
Data collected using standard eddy covariance and meteorological instrumentation on a 2m tower at the Sanford 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.Data Creation
Data is measured using standard micro-meteorological instrumentation on a flux tower.
Data is recorded on a data logger and is collected by the site PI.
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.
Filtering for low-ustar conditions, gap filling and partitioning of NEE into GPP and ER are done using ONEFlux.
Notes
CreditWe 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.
The purpose of the Samford site is to:
- Examine the influence of land-use change and intensification associated with peri-urban environments on soil, plant, animal and atmosphere interactions.
- Measure the exchange of carbon dioxide, water vapour and energy between the soil/pasture and the atmosphere of an improved pasture in response to increasing harvest intervals.
- Use micrometeorological techniques in conjunction with automatic GHG static closed chambers (CO2, N2O, CH4), soil moisture probe transects, stream water quality and terrestrial biomass measurements to close the carbon, water and nitrogen budgets of the improved pasture.
- Develop a full global warming potential analysis from this data for this land use.
- Examine the suitability of micrometeorological techniques in complex terrain in a sub-tropical environment.
Data Quality Assessment Scope
local :
dataset
The data have been quality controlled using the PyFluxPro software. Quality control checks applied to the data include:<ul style="list-style-type: disc;">
<li>range checks for plausible limits</li>
<li>spike detection and removal</li>
<li>dependency on other variables</li>
<li>manual rejection of date ranges</li></ul>
<br>
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.</br>
<br>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. </br>
<br>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.</br>
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). Oz
doi :
https://doi.org/10.5194/bg-14-2903-2017
Data Quality Assessment Result
local :
Quality Result
No anomalous data detected after quality control.
Created: 2026-03-19
Issued: 2026-04-02
Modified: 2026-04-02
Data time period: 2010-01-01 to 2018-01-01
text: The Samford flux tower is located on an improved (Paspalum dilatum) pasture, approximately 3km from Samford village and 20km west of the Brisbane CBD in south-eastern Queensland.
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Point-of-truth metadata URL
Isaac P., Cleverly J., McHugh I., van Gorsel E., Ewenz C. and Beringer, J. (2017). OzFlux data: network integration from collection to curation,
doi :
https://doi.org/10.5194/bg-14-2903-2017![]()
PyFluxPro
uri :
https://github.com/OzFlux/PyFluxPro![]()
ONEFlux
uri :
https://github.com/fluxnet/ONEFlux![]()
Pastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020).
- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/cec9bb28-0f34-4867-99f6-1ca86c478b19
- global : cec9bb28-0f34-4867-99f6-1ca86c478b19
