Flux Tower Measurements From Dryland Agricultural Pasture

This release consists of flux tower measurements of energy and mass exchange between the surface and atmosphere using eddy covariance techniques. Data were processed using PyFluxPro to produce a final, gap-filled product with Net Ecosystem Exchange partitioned into Gross Primary Productivity and Ecosystem Respiration.

Use Cases

• Analyze Net Ecosystem Exchange (NEE) dynamics in a dryland agricultural environment dominated by pasture.
• Partition NEE into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) to study carbon cycle components.
• Correlate flux tower measurements with local climate data from the Pingelly BoM AWS station, including precipitation and temperature.
• Study energy and mass exchange between the surface and atmospheric boundary-layer using eddy covariance techniques.

Strengths

• Data processed using the established PyFluxPro (v3.4.17) software as described by Isaac et al. (2017).
• Provides a final, gap-filled product for analysis.
• Includes detailed site metadata: elevation of 330 m, mean annual precipitation of 445 mm, and temperature ranges.

Limitations

• Specific column names, sample data, row count, and file size are unknown.
• Data is specific to a single flux station in a dryland agricultural pasture, limiting geographic generalizability.
• Primary data formats listed are HTML and PNG, which may not be standard for quantitative analysis without additional processing.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Flux tower measurements using eddy covariance techniques, processed with PyFluxPro.

Freshness

Last updated on 2026-03-20.

Geography

Ridgefield flux station within an area of dryland agriculture, dominated by broadacre farming and pasture. Elevation approximately 330 m. Climate data from nearby Pingelly BoM AWS station 010626.