Flux Tower Measurements from Dryland Agricultural Pasture

Aggregating flux tower measurements of energy and mass exchange between the surface and atmosphere using eddy covariance techniques. Data were processed with PyFluxPro (v3.4.7) 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 of approximately 330 meters.

Use Cases

• Analyze the relationship between Net Ecosystem Exchange (NEE) and local climate variables like precipitation and temperature from the Pingelly BoM AWS station.
• Partition gap-filled Net Ecosystem Exchange (NEE) into its Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) components to study carbon dynamics in pasture ecosystems.
• Model energy and mass exchange fluxes in a dryland agricultural setting dominated by broadacre farming practices.
• Investigate seasonal patterns in Ecosystem Respiration (ER) using the provided climate data, including mean annual precipitation of approximately 445 mm.

Strengths

• Data is processed into a final, gap-filled product using the established PyFluxPro software (version 3.4.7).
• Includes derived carbon flux components: Net Ecosystem Exchange (NEE), Gross Primary Productivity (GPP), and Ecosystem Respiration (ER).
• Site is described with specific environmental context: elevation of approximately 330 meters and mean annual precipitation of approximately 445 mm.
• Climate context is provided from a nearby Bureau of Meteorology AWS station with a 25-year reference period (1991 to 2016).

Limitations

• The specific number of data rows, columns, and file size are unknown, limiting assessment of analytical scope.
• Data format includes HTML and PNG, which may not be ideal for direct quantitative analysis compared to structured formats like CSV.
• Geographic coverage is limited to a single flux tower site within a specific dryland agricultural and pasture environment.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Flux tower measurements using eddy covariance techniques, processed with PyFluxPro (v3.4.7).

Freshness

The dataset metadata was last updated on March 20, 2026, but the temporal coverage of the actual measurements is not specified.

Geography

Ridgefield flux station site within a dryland agricultural area dominated by pasture, elevation approximately 330 meters. Climate context from Pingelly BoM AWS station 010626.