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120.6541,-30.1913

120.6541,-30.1913

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TERN/95c76129-efa2-4d76-bf26-b314e7274f1e 22123
METADATA

Great Western Woodlands Flux Data Collection

Description

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

The Great Western Woodlands (GWW) comprise a 16 million hectare mosaic of temperate woodland, shrubland and mallee vegetation in south-west Western Australia. The region has remained relatively intact since European settlement, owing to the variable rainfall and lack of readily accessible groundwater. The woodland component is globally unique in that nowhere else do woodlands occur at as little as 220 mm mean annual rainfall. Further, other temperate woodlands around the world have typically become highly fragmented and degraded through agricultural use. The Great Western Woodlands Site was established in 2012 in the Credo Conservation Reserve. The site is in semi-arid woodland and was operated as a pastoral lease from 1907 to 2007. The core 1 ha plot is characterised by Eucalyptus salmonophloia (salmon gum), with Eucalyptus salubris and Eucalyptus clelandii dominating other research plots. The flux station is located in Salmon gum woodland. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/great-western-woodlands-supersite/ .

This data is also available at http://data.ozflux.org.au .

Credit
The Great Western Woodlands Site was established in 2012 and is managed by CSIRO Land and Water and funded by TERN and the WA Department of Environment and Conservation. The flux station is part of the Australia OzFlux Network and contributes to the international FLUXNET Network.

Purpose
The flux station and site work towards building a process-based understanding of semi-arid woodlands to inform management and climate adaptation in the Great Western Woodlands and climate-resilient restoration in the adjacent WA wheatbelt.

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 .

Temporal coverage

From 2013-01-01

Dates

  • Date modified

    11/08/2021

Citation information

How to cite this collection:

Macfarlane, C. , Prober, S. , Wiehl, G. (2013): Great Western Woodlands Flux Data Collection. Terrestrial Ecosystem Research Network (TERN). (Dataset). https://portal.tern.org.au/great-western-woodlands-flux-collection/22123

Access data

This data can be accessed from the following websites

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Rights and Licensing

Creative Commons Attribution 4.0 International Licence

http://creativecommons.org/licenses/by/4.0

TERN services are provided on an “as-is” and “as available” basis. Users use any TERN services at their discretion and risk. They will be solely responsible for any damage or loss whatsoever that results from such use including use of any data obtained through TERN and any analysis performed using the TERN infrastructure.
Web links to and from external, third party websites should not be construed as implying any relationships with and/or endorsement of the external site or its content by TERN.

Please advise any work or publications that use this data via the online form at https://www.tern.org.au/research-publications/#reporting

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  • Additional information Show

    Researchers

    Research Groups

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    Data Quality

    • 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 .

    Publications

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    Parameters

    • air temperature
    • downward heat flux at ground level in soil
    • eastward wind
    • ecosystem respiration
    • gross primary productivity of biomass expressed as carbon
    • magnitude of surface downward stress
    • mass concentration of carbon dioxide in air
    • mass concentration of water vapor in air
    • mole fraction of carbon dioxide in air
    • mole fraction of water vapor in air
    • monin-obukhov length
    • net ecosystem exchange
    • net ecosystem productivity
    • northward wind
    • relative humidity
    • soil temperature
    • specific humidity
    • specific humidity saturation deficit in air
    • surface air pressure
    • surface downwelling longwave flux in air
    • surface downwelling shortwave flux in air
    • surface friction velocity
    • surface net downward radiative flux
    • surface upward flux of available energy
    • surface upward latent heat flux
    • surface upward mole flux of carbon dioxide
    • surface upward sensible heat flux
    • surface upwelling longwave flux in air
    • surface upwelling shortwave flux in air
    • thickness of rainfall amount
    • upward mole flux of carbon dioxide due inferred from storage
    • vertical wind
    • volume fraction of condensed water in soil
    • water evapotranspiration flux
    • water vapor partial pressure in air
    • water vapor saturation deficit in air
    • wind from direction
    • wind speed

    Platforms

    • Great Western Woodlands Flux Station

    Instruments

    • Middleton CN3
    • Campbell Scientific TCAV Averaging Soil Thermocouple Probe
    • LI-COR LI-7500
    • Kipp&Zonen CNR1
    • Kipp&Zonen NR Lite2
    • HyQuest Solutions CS700
    • Campbell Scientific CS616
    • Campbell Scientific CSAT3

    Temporal Resolution

    • 1 minute - < 1 hour

    GCMD Science

    • BIOGEOCHEMICAL PROCESSES
    • LAND PRODUCTIVITY
    • EVAPOTRANSPIRATION
    • TERRESTRIAL ECOSYSTEMS
    • ATMOSPHERIC PRESSURE MEASUREMENTS
    • TURBULENCE
    • WIND SPEED
    • WIND DIRECTION
    • TRACE GASES/TRACE SPECIES
    • CARBON DIOXIDE
    • PHOTOSYNTHETICALLY ACTIVE RADIATION
    • LONGWAVE RADIATION
    • SHORTWAVE RADIATION
    • INCOMING SOLAR RADIATION
    • HEAT FLUX
    • AIR TEMPERATURE
    • PRECIPITATION AMOUNT
    • HUMIDITY
    • SOIL MOISTURE/WATER CONTENT
    • SOIL TEMPERATURE

    ANZSRC - FOR

    • ATMOSPHERIC SCIENCES
    • ECOLOGICAL APPLICATIONS
    • Ecosystem Function
    • ENVIRONMENTAL SCIENCE AND MANAGEMENT
    • Environmental Monitoring
    • SOIL SCIENCES

    User Defined

    • climatologyMeteorologyAtmosphere
    • Eddy Covariance
    • AU-GWW
    • sparse eucalypt woodland
    More...
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