Eddy Covariance Flux Tower Measurements from Wandoo Woodland

Flux tower measurements of energy and mass exchange between the surface and atmosphere using eddy covariance techniques. Data were processed with PyFluxPro (v3.4.21) to produce a final, gap-filled product including Net Ecosystem Exchange (NEE), Gross Primary Productivity (GPP), and Ecosystem Respiration (ER). The station was established in 2017 in a Wandoo Woodland dominated by Eucalyptus accedens.

Use Cases

• Model carbon dynamics by analyzing the relationship between Net Ecosystem Exchange (NEE) and local climate variables.
• Partition ecosystem respiration (ER) from gross primary productivity (GPP) to study seasonal carbon cycling in dry sclerophyll woodlands.
• Validate and calibrate land surface models using gap-filled eddy covariance flux data.
• Investigate the impact of broadacre farming surroundings on energy and mass exchange measurements from the flux tower.

Strengths

• Data processed using the established PyFluxPro (v3.4.21) software as described by Isaac et al. (2017).
• Includes a final, gap-filled product for key variables like NEE, GPP, and ER.
• Provides detailed ancillary climate data from the nearby Pingelly BOM AWS station, including mean annual precipitation of 445 mm.

Limitations

• Specific column names, row count, and dataset size are unknown.
• Data formats are HTML and PNG, which may require parsing or conversion for quantitative analysis.
• The license is unspecified, which may restrict certain uses.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Flux tower measurements processed using eddy covariance techniques and the PyFluxPro software.

Time Range

Flux station established in 2017; climate reference data spans 1991 to 2016.

Freshness

Last updated on 2026-03-20.

Geography

Boyagin, Wandoo Woodland, surrounded by broadacre farming. Traditional lands of the Noongar people.