Flux Tower Measurements from Dryland Agricultural Pasture

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 is located in a dryland agricultural area dominated by pasture at an elevation near 330 meters.

Use Cases

• Analyze the relationship between Net Ecosystem Exchange (NEE) and local climate variables from the Pingelly BoM AWS station to model carbon dynamics in dryland agriculture.
• Partition gap-filled Net Ecosystem Exchange (NEE) data into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) components to study ecosystem carbon balance.
• Investigate seasonal patterns of energy and mass exchange in a pasture-dominated landscape using eddy covariance flux measurements.
• Correlate flux tower measurements with broadacre farming practices to assess their impact on surface-atmosphere exchange processes.

Strengths

• Data processing uses the established PyFluxPro (v3.4.21) software as described by Isaac et al. (2017), ensuring a standardized methodology.
• The final product is gap-filled, providing a continuous time series for analysis of Net Ecosystem Exchange (NEE) and its components.
• Includes detailed site characterization: dryland agriculture, pasture vegetation, elevation of approximately 330 meters, and referenced climate data from a nearby Bureau of Meteorology station.

Limitations

• The dataset's temporal coverage and total number of data points (rows) are unspecified, limiting assessment of its scope and statistical power.
• The specific measured variables (columns) are not listed, making it difficult to evaluate the dataset's suitability for specific analytical tasks.
• Data is provided in HTML and PNG formats, which are not ideal for direct quantitative analysis and may require extraction or conversion.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Flux tower measurements using eddy covariance techniques, processed with PyFluxPro (v3.4.21).

Freshness

Last updated on March 20, 2026, indicating recent maintenance.

Geography

Ridgefield flux station site within a dryland agricultural area, elevation approximately 330 meters. Climate reference data is from the nearby Pingelly BoM AWS station 010626.