This release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer using eddy covariance techniques. Data were processed using PyFluxPro (v3.4.17) as described by Isaac et al. (2017). PyFluxPro produces a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER).
The Cumberland Plain flux station is located in a dry sclerophyll forest. The Cumberland Plain Woodland is now an endangered ecological community that encompasses distinct groupings of plants growing on clayey soils. The canopy is dominated by Eucalyptus moluccana and Eucalyptus fibrosa, which host an expanding population of mistletoe. Average canopy height is 23 m, the elevation of the site is 20 m and mean annual precipitation is 800 mm. Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 30 m tall mast. Additional measurements above the canopy include temperature, humidity, wind speed and direction, rainfall, incoming and reflected shortwave and longwave radiation and net, diffuse and direct radiation and the photochemical reflectance index. In addition, profiles of humidity and CO2 are measured at eight levels within the canopy, as well as measurements of soil moisture content, soil heat fluxes, soil temperature, and 10 hr fuel moisture dynamics. In addition, regular monitoring of understory species abundance, mistletoe infection, leaf area index and litterfall are also performed.
Credit
We at TERN acknowledge the Traditional Owners and Custodians throughout Australia, New Zealand and all nations. We honour their profound connections to land, water, biodiversity and culture and pay our respects to their Elders past, present and emerging.
Cumberland Plain flux station is managed by the Hawkesbury Institute for the Environment at Western Sydney University and was funded by the Education Investment Fund and TERN.
Purpose
The purpose of the Cumberland Plain flux station is:
- to quantify the exchanges of carbon dioxide, water vapour and energy in a dry sclerophyll forest
- to characterise the functional behaviour and sensitivity of the different components contributing to the ecosystem carbon balance from sub-daily to multi-annual temporal scales and under climatic variability
- to identify the role of hydraulic limitations on constraining ecosystem productivity
- to quantify the impact of mistletoe on plant physiological processes and whole ecosystem water vapour and carbon dioxide exchange
- to validate remote sensing estimates of different radiation components to obtain accurate regional predictions of fuel moisture
- to understand how wood traits and microbial diversity interact to determine rates of wood decay.
Data Processing
File naming convention
The NetCDF files follow the naming convention below:
SiteName_ProcessingLevel_FromDate_ToDate_Type.nc
- SiteName: short name of the site
- ProcessingLevel: file processing level (L3, L4, L5, L6)
- FromDate: temporal interval (start), YYYYMMDD
- ToDate: temporal interval (end), YYYYMMDD
- Type (Level 6 only): Summary, Monthly, Daily, Cumulative, Annual
- Summary: This file is a summary of the L6 data for daily, monthly, annual and cumulative data. The files Monthly to Annual below are combined together in one file.
- Monthly: This file shows L6 monthly averages of the respective variables, e.g. AH, Fc, NEE, etc.
- Daily: same as Monthly but with daily averages.
- Cumulative: File showing cumulative values for ecosystem respiration, evapo-transpiration, gross primary productivity, net ecosystem exchange and production as well as precipitation.
- Annual: same as Monthly but with annual averages.
Lineage
All flux raw data is subject to the quality control process OzFlux QA/QC to generate data from L1 to L6. Levels 3 to 6 are available for re-use. Datasets contain Quality Controls flags which will indicate when data quality is poor and has been filled from alternative sources. For more details, refer to Isaac et al. (2017).