Whroo Flux Data Collection 

This dataset consists of measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in dry sclerophyll woodland using eddy covariance techniques.

The site was classified as box woodland, dominated by two main Eucalypt species:Eucalyptus microcarpa (Grey Box) and Eucalyptus leucoxylon (Yellow Gum).
Elevation of the site is close to 165 m and mean annual precipitation from a nearby Bureau of Meteorology site measured 558 mm. Maximum temperatures ranged from 29.8°C (in January) to 12.6°C (in July), while minimum temperatures ranged from 14.2°C (in February) to 3.2°C (in July). Maximum temperatures varied on a seasonal basis by approximately 17.2°C and minimum temperatures by 11.0°C.

The instrument mast is 36m tall. Heat, water vapour and carbon dioxide measurements are taken using the open-path eddy flux technique. Temperature, humidity, wind speed, wind direction, rainfall, incoming and reflected shortwave radiation and net radiation were measured above the canopy. Soil heat fluxes were measured and soil moisture content was gathered using time domain reflectometry. This data is also available at http://data.ozflux.org.au . 

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. The flux station was originally established by the University of Western Australia in October 2011 as part of an ARC Linkage project "More bang for your carbon buck: carbon, biodiversity and water balance consequences of whole-catchment carbon farming" (LP0990038) Dr Ross Michael Thompson, A/Prof Jason Beringer, Dr Timothy Richard Cavagnaro, Prof Ralph Charles MacNally, Dr Patrick John Baker, Mr Mark Eigenraam, Mr Leon Metzeling. The site is affiliated to TERN and is now managed by the University of Melbourne. 

The purpose of the Whroo site was to: assess how revegetation affects the interaction among carbon dynamics, water regimes (quality, quantity and frequency) and biodiversity across the landscape (above- and below-ground terrestrial, and aquatic ecosystems).
develop a robust observational and modelling platform for soil-plant-atmosphere carbon and water fluxes for a range of land-use practices, including carbon farming, in these landscapes.
assess how carbon farming can be modified to increase biodiversity conservation. 

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) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017 .