Daly Flux Tower Data: Energy and Mass Exchange in Australian Savanna

Flux tower measurements of energy, water vapor, and carbon dioxide exchange between a woodland savanna surface and the atmosphere using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.23) to produce a final, gap-filled product with Net Ecosystem Exchange partitioned into Gross Primary Productivity and Ecosystem Respiration. The site is co-dominated by tree species Eucalyptus tetrodonta and Corymbia latifolia, with an average canopy height of 16.4 meters.

Use Cases

• Modeling Net Ecosystem Exchange (NEE) dynamics based on gap-filled flux tower data.
• Partitioning ecosystem respiration and gross primary productivity based on the described PyFluxPro methodology.
• Analyzing seasonal temperature impacts on ecosystem fluxes based on provided maximum and minimum temperature ranges.
• Studying savanna canopy-atmosphere interactions based on measurements of temperature, humidity, wind, and radiation above a 16.4-meter canopy.

Strengths

• Data processing uses a specific, documented methodology (PyFluxPro v3.4.23 as per Isaac et al., 2017).
• Description includes specific site characteristics: average canopy height of 16.4 m, elevation of 110 m, and mean annual precipitation of 1,170 mm.
• Ancillary measurements are listed, including LAI, leaf-scale physiological properties, and soil physical properties, suggesting a multi-faceted dataset.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• The temporal coverage of the flux measurements is not explicitly stated in the provided description.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Eddy covariance techniques from a 23-meter instrument mast, processed with PyFluxPro software.

Freshness

Last updated 2026-05-21 19:53:18.744276; freshness should be verified.

Geography

Daly site, Australia (woodland savanna).