Yarramundi Irrigated Pasture Flux Tower Measurements 2019-2024

Featuring flux tower measurements of energy and mass exchange between the surface and atmosphere using eddy covariance techniques. It provides a gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). The data were processed using PyFluxPro (v3.4.17) and collected from an improved, managed pasture site on the Western Sydney University Hawkesbury campus.

Use Cases

• Analyze seasonal patterns in Net Ecosystem Exchange (NEE) and its components, Gross Primary Productivity (GPP) and Ecosystem Respiration (ER), for a managed pasture ecosystem.
• Model the relationship between energy fluxes and environmental variables like temperature and rainfall in a warm-temperate climate.
• Study the impact of intensive cattle grazing operations on carbon exchange dynamics using eddy covariance data.
• Validate and calibrate ecosystem process models using gap-filled flux data from a site with sandy loam soil and flat topography.

Strengths

• Data processed using the established PyFluxPro (v3.4.17) software, following the methodology described by Isaac et al. (2017).
• Provides a final, gap-filled product, which is essential for continuous time-series analysis of ecosystem fluxes.
• Site metadata is detailed, including specific climate data (728 mm average annual rainfall) and soil characteristics (sandy loam, <1% organic carbon).
• Data collection began in October 2019, offering a multi-year record from a managed pasture ecosystem.

Limitations

• The exact number of data rows, columns, and file size are unknown, making it difficult to assess the dataset's scale and structure for computational planning.
• Data is provided in HTML and PNG formats, which are not standard for quantitative analysis and may require parsing or conversion.
• The license is listed as 'notspecified', which creates uncertainty for users regarding permissible redistribution and commercial use.

Provenance

Source

Terrestrial Ecosystem Research Network's Data Discovery, managed by the Hawkesbury Institute for the Environment with support from TERN and WSU.

Collection Method

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

Time Range

Data collection began in October 2019; the temporal endpoint is not specified but the 2024 release suggests coverage up to at least that year.

Freshness

The dataset was last updated on March 20, 2026, indicating recent maintenance.

Geography

Yarramundi Irrigated site, an improved managed pasture on the Western Sydney University Hawkesbury campus in Australia (elevation ~20 m, flat topography).