Flux Tower Measurements from Dryland Agricultural Pasture

Encompassing flux tower measurements of energy and mass exchange between the surface and atmosphere using eddy covariance techniques. Data were processed with PyFluxPro (v3.4.18) 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 330 m.

Use Cases

• Partition Net Ecosystem Exchange (NEE) into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) to study carbon dynamics in dryland agriculture.
• Analyze energy and mass exchange fluxes in relation to local climate data, such as the mean annual precipitation of 445 mm.
• Model ecosystem gas exchange for pasture-dominated landscapes using gap-filled eddy covariance data.
• Correlate flux measurements with seasonal temperature extremes, such as the maximum temperature of 31.9 °C in January.

Strengths

• Data processed using the established PyFluxPro (v3.4.18) software pipeline as described by Isaac et al. (2017).
• Provides a final, gap-filled product for key ecosystem variables like NEE, GPP, and ER.
• Includes detailed site metadata: elevation of 330 m, mean annual precipitation of 445 mm, and surrounding land use as dryland agriculture and pasture.

Limitations

• Specific data volume (row count, column count) and temporal coverage are not provided.
• Geographic scope is limited to a single flux station in a dryland agricultural area, limiting broader spatial analysis.
• File formats are listed as HTML and PNG, which may not be the most convenient for direct quantitative analysis compared to CSV or NetCDF.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Flux tower measurements using eddy covariance techniques, processed with PyFluxPro (v3.4.18).

Freshness

Last updated on March 20, 2026.

Geography

Ridgefield flux station within a dryland agricultural area dominated by pasture, elevation 330 m. Climate reference from nearby Pingelly BoM AWS station 010626.