Flux Tower Measurements from Semi-Arid Eucalypt Woodland

This release contains flux tower measurements of energy and mass exchange between the surface and atmosphere in a semi-arid eucalypt woodland, processed using the PyFluxPro (v3.3.3) software. The data includes gap-filled Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). The site is located in a dryland agricultural area at 152m elevation with mean annual precipitation of 650mm.

Use Cases

• Analyze Net Ecosystem Exchange (NEE) dynamics in relation to measured temperature, humidity, and rainfall patterns.
• Partition Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) from NEE data to study carbon cycling in semi-arid woodlands.
• Correlate soil heat fluxes and soil moisture content with energy exchange measurements from the eddy covariance system.
• Model the relationship between net radiation, wind speed, and the exchange of heat, water vapor, and carbon dioxide.

Strengths

• Data processed to a final, gap-filled product using the established PyFluxPro (v3.3.3) methodology.
• Site metadata includes specific environmental parameters: elevation of 152m and mean annual precipitation of 650mm.
• Comprehensive suite of atmospheric and soil measurements, including temperature, humidity, wind, rainfall, net radiation, soil heat flux, and soil moisture.

Limitations

• The specific temporal coverage, row count, and column structure of the dataset are not provided in the input.
• Data is limited to a single flux tower site within a specific semi-arid, agricultural landscape, limiting geographic generalizability.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Eddy covariance techniques from a 4-meter flux tower, processed using PyFluxPro software.

Freshness

Data release is from 2022, with metadata last updated in March 2026.

Geography

Semi-arid eucalypt woodland within a dryland agricultural area in Australia (Au Rig).