Eddy Covariance Flux Measurements From Wellington Woodland Pasture

Measurements of energy and mass exchange between the surface and atmosphere using eddy covariance techniques. It provides gap-filled Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER), processed via PyFluxPro (v3.4.21). The data originates from a flux tower at the Wellington Research Station, part of the Australian Critical Zone Observatories network, situated in a humid subtropical climate.

Use Cases

• Analyze Net Ecosystem Exchange (NEE) dynamics to quantify carbon balance in a pastoral/woodland ecosystem.
• Partition NEE into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER) to model ecosystem carbon fluxes.
• Correlate flux tower measurements with local climate data, such as annual rainfall ranging from 348.3 mm to 1355.3 mm.
• Study energy exchange processes between the surface and atmospheric boundary-layer using eddy covariance techniques.

Strengths

• Data is processed into a final, gap-filled product using the established PyFluxPro (v3.4.21) software.
• Site climate is characterized with specific metrics, including annual mean maximum temperatures of 22.8 °C and mean minimums of 10.5 °C.
• The flux tower is part of the formal Australian Critical Zone Observatories (OzCZO) network.

Limitations

• The dataset's temporal coverage, sample size (rows), and specific variables (columns) are not provided.
• Data is available only in HTML and PNG formats, which are not standard for quantitative analysis and lack machine-readable tabular data.
• Potential geographic bias as data comes from a single site with specific pastoral/woodland vegetation.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery

Collection Method

Measurements gathered using eddy covariance techniques and processed with PyFluxPro (v3.4.21).

Freshness

Data was last updated on March 20, 2026.

Geography

Wellington Research Station flux tower, Australia.