Brief description
This data release consists of flux tower measurements of the exchange of energy and mass between the surface and the atmospheric boundary-layer in semi-arid eucalypt woodland using eddy covariance techniques. It been processed using PyFluxPro (v3.3.3) as described in Isaac et al. (2017), https://doi.org/10.5194/bg-14-2903-2017. PyFluxPro takes data recorded at the flux tower and process this data to a final, gap-filled product with Net Ecosystem Exchange (NEE) partitioned into Gross Primary Productivity (GPP) and Ecosystem Respiration (ER). For more information about the processing levels, see https://github.com/OzFlux/PyFluxPro/wiki.The Wombat State Forest site is a secondary re-growth forest that was last harvested in 1980. Dominant tree species are Eucalyptus obliqua (messmate stringybark), Eucalyptus radiata (narrow leaf peppermint) and Eucalyptus rubida (candlebark) with an average canopy height of 25m. The understorey consists mainly of patchy grasses and the soil is a silty-clay overlying clay. The forest is managed by the Department of Sustainability and Environment and management includes selective harvesting and prescribed burning regimes. The climate of the study area is classified as cool-temperate to Mediterranean zone with cold and wet winters (May-Aug) and warm and dry summers (Dec-Feb) with a temperature range: 1-30 °C and mean annual air temperature (2001-2012): 12.1°C. Annual rainfall is approximately 871 mm (142 year long-term average). Coherent automated measurements of soil greenhouse gas fluxes (CO2, CH4 and N2O) were collected using a trailer-mounted mobile laboratory – Fourier transform infra-red (FTIR) spectrometer from 2010 to 2016. Measurement height was 30m but increased to 33m from January 2017
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) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017 .
Notes
CreditWe 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 site is managed by The University of Melbourne in collaboration with Monash University and the Department of Sustainability and Environment of Victoria. Data collection is funded by TERN.
The Wombat Forest research site facilitates the investigation of complex ecosystem processes of the carbon, water and nutrient cycle in a dry-sclerophyll forest ecosystem that is typical for many forests in Australia. This research will help to assess the impact of future environmental change on forest ecosystems in Australia. The Wombat Forest research site will:
Quantify the carbon sink/source strength of a dry sclerophyll forest and identify the contribution of such forests to the Australia's National Carbon Inventory
Quantify the emission and/or uptake of non-CO2 greenhouse gases, such as nitrous oxide and methane of the forest
Assess the role of climate variability and drought on ecosystem processes
Assess the impact of disturbances (such as fire) on ecosystem processes
Provide a database of microclimate and ecological parameters for use in carbon and water modelling projects.
Data Quality Assessment Scope
local :
dataset
If the data quality is poor, the data is filled from alternative sources. Filled data can be identified by the Quality Controls flags in the dataset. Quality control checks include (i) range checks for plausible limits, (ii) spike detection, (iii) dependency on other variables and (iv) manual rejection of date ranges. Specific checks applied to the sonic and IRGA data include rejection of points based on the sonic and IRGA diagnostic values and on either automatic gain control (AGC) or CO2 and H2O signal strength, depending upon the configuration of the IRGA. For more details, refer to Isaac et al (2017) in the Publications section, https://doi.org/10.5194/bg-14-2903-2017.
For further information about the software (PyFluxPro) used to process and quality control the flux data, see https://github.com/OzFlux/PyFluxPro/wiki .
Created: 2022-03-17
Issued: 2022-03-28
Modified: 2014-07-14
Data time period: 2010-01-20 to 2021-05-29
text: Within the Wombat State Forest, between Ballarat and Daylesford in Central Victoria, 100km west of Melbourne.
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Point-of-truth metadata URL- URI : geonetwork.tern.org.au/geonetwork/srv/eng/catalog.search#/metadata/6538fa80-53e6-4eff-8544-058f293d116b
- global : 6538fa80-53e6-4eff-8544-058f293d116b
