This collection comprises the releases of metadata records for the ALTAR Desert Uplands 2 flux tower. Each release contains measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques, with additional meteorological measures. Data are processed using PyFluxPro as described by
Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). The version of PyFluxPro used in the processing can be found within the metadata of the relevant NetCDF product. The ALTAR Desert Uplands 2 site is a woodland characterised by regrowth of Silver-leaved Ironbark (
Eucalyptus melanophloia), Dallachy's Ghost Gum (
Corymbia dallachiana), Lancewood (
Acacia sericophylla), Ironwood (
Acacia excelsa) and Kurrajong (
Brachychiton populneus) with a ground layer dominated by Soft Spinifex (
Tripodia pungens). Access to this dataset is available on request subject to agreement. Standard Operating Procedures (SOPs) are currently being reformatted for integration into the OneTERN framework and are available upon request during this transition period.
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. This research site is managed by the Queensland University of Technology.
Data was collected on Indigenous freehold land under the custodianship of YACHATDAC. The lands where this data was collected is on the traditional lands of the Iningai people. As both the landholder and traditional owner, TERN, ALTAR and QUT recognise the cultural rights and Indigenous data sovereignty of the Iningai people in relation to this data and research activities.
This work is jointly funded by the Terrestrial Ecosystem Research Network (TERN), an Australian Government National Collaborative Research Infrastructure Strategy (NCRIS) project with co-investment by the Queensland Government Research Infrastructure Co-investment Fund (RICF).
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.
Lineage
Fast (20Hz) data is processed into 30-minute covariances using EddyPro, and then subject to the quality control process utilised in PyFluxPro to generate datasets from L1 to L6. Levels 3 to 6 are available for reuse. Datasets contain Quality Controls flags which will indicate when data quality is poor and has been filled from alternative sources. Refer to
Isaac et al (2017) for more details.
