Fogg Dam Flux Tower Measurements of Energy and Mass Exchange

This release contains flux tower measurements of energy and mass exchange between the surface and atmosphere in a semi-arid eucalypt woodland, processed using PyFluxPro. The data includes gap-filled Net Ecosystem Exchange partitioned into Gross Primary Productivity and Ecosystem Respiration. The site is a seasonally flooded wetland in Australia with vegetation including Oryza rufipogon.

Use Cases

• Analyze seasonal patterns in Net Ecosystem Exchange (NEE) for a semi-arid wetland ecosystem.
• Partition NEE into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) to study carbon cycle dynamics.
• Correlate energy fluxes like net radiation with soil moisture content and soil heat flux measurements.
• Model the relationship between atmospheric variables (temperature, humidity, wind speed) and carbon dioxide exchange using eddy covariance data.

Strengths

• Data processed to a final, gap-filled product using the established PyFluxPro (v3.3.3) methodology.
• Includes a suite of ancillary measurements such as LAI, leaf-scale physiological properties, and soil physical properties.
• Site instrumentation includes a 15m tall mast and comprehensive atmospheric and soil sensors.

Limitations

• The specific number of data rows, columns, and file size are unknown.
• The primary data collection period is not explicitly stated, though ancillary remote sensing was conducted in September 2008.
• Data formats are listed as HTML and PNG, which may not be the most analysis-ready tabular formats for direct computational use.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Eddy covariance techniques from a flux tower, processed with PyFluxPro software.

Freshness

Dataset metadata was last updated in March 2026.

Geography

Fogg Dam, a seasonally flooded wetland in Australia.