Faculty of Science

LEAP - Whroo

jQuery UI Tabs functionality

Land Ecosystem Atmosphere Program (LEAP) - Whroo OzFlux Flux Tower and Supersite

Whroo Springs panorama

Investigators and Partners

This project is the product of the combined efforts of many interdisciplinary researchers of various expertise and was initiated by:

  • Prof. Jason Beringer (Micrometeorology)(UWA)
  • Prof. Ross Thompson (Aquatic ecologist)(ACU)
  • Dr. Timothy Cavagnaro (Soil ecologist)(Uni Adelaide)
  • Prof. Ralph Mac Nally (Landscape ecologist)(ACU)
  • Dr. Patrick Baker (Plant biology)(The Uni Melbourne)
  • Mr Mark Eigenraam (DSE)
  • Mr Leon Metzeling (EPA)

Project Overview

Farming carbon via tree plantings on pasture land is becoming increasingly common to address the effects of climate change. This activity is likely to produce dramatic changes in Australia's rural landscapes, but we have little knowledge of likely effects on crucial ecosystem services and attributes such as stream water yields and biodiversity. This project investigates the relationship between tree cover, carbon uptake, water yield and biodiversity. The outcomes will allow government agencies, landowners and carbon farming groups to better evaluate the effects of different landscape planning options and contribute to effective long-term planning for multiple goals. The site was established 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 Mac Nally, Dr Patrick John Baker, Mr Mark Eigenraam, Mr Leon Metzeling. The tower will provide longterm measurements as part of the Ozflux network and the infrastructure is partly funded through the NCRIS TERN OzFlux and Supersite facilities.

Key research questions

  • The Whroo site will enable us 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).
  • We will 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.
  • We will assess how carbon farming can be modified to increase biodiversity conservation.
  • The Site Location

    The Whroo flux station was located approximately 45km south west of Shepparton, Victoria: 36° 40' 22.98"S, 145° 1' 34.37"E.

    Site Characteristics

    The flux tower site was classified as box woodland. The vegetation is dominated by two main Eucalypt species: Eucalyptus microcarpa (Grey Box) and Eucalyptus leucoxylon (Yellow Gum). Smaller numbers of Eucalyptus sideroxylon (Ironbark) and Acacia pycnantha (Golden Wattle) are also found on site. 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 are measured and soil moisture content is gathered using time domain reflectometry.

    Data

    Data from this site is available through the OzFlux data portal international FLUXNET database or via the investigators email jason.beringer[@]uwa.edu.au

    Further Information

    Acknowledgements

    This site is produced by Prof. Jason Beringer, UWA, School of Earth and Environment and proudly part of the Australian Flux Network(OzFlux) and partly supported by the Australian NCRIS Terrestrial Ecosystem Research Network (TERN). Australian Research Council grants supported this work (DP0344744, LP0774812, DP0772981, LP0990038, DP130101566 and FT110100602)

    Whroo flux tower data

    Whroo  flux tower data

    Whroo  flux tower data

    Whroo  flux tower data

    Whroo  flux tower data

    Whroo  flux tower data Whroo  flux tower data

    Whroo  flux tower data

    Instrument Type Make Model Situation
    Bidirectional pyranometer / pyrgiometer Kipp and Zonen CNR4 36m
    Combination cup anemometer / wind vane
    (6 replicates)
    RM Young 03002 1m, 2m, 4m, 8m, 16m, 32m
    Infra-red gas analyser LiCOR LI-7500 36m
    Quantum sensor Apogee SQ-110  
    Soil heat flux plate
    (4 replicates)
    Hukseflux HFP01 -0.08m
    Soil temperature probe
    (4 replicates)
    Campbell Scientific TCAV All at -0.08m
    Solar regulator Prostar PS-30M  
    3D Sonic anemometer Campbell Scientific CSAT3 36m
    Temperature and Relative Humidity sensor
    (6 replicates)
    Campbell Scientific HMP-45C 1 each at 1, 2, 4, 8, 16 & 32m
    Soil Moisture Probe
    (8 replicates)
    Campbell Scientific CS-616 4 at -0.1m
    & 1 at each of -0.2, -0.4, -0.8, -1.5m
    Unidirectional sunshine pyranometer Delta SPN1 36m
    Logger Campbell Scientific CR3000 1.5m
    Multiplexor Campbell Scientific AM25T 1.5m
    Rain gauge Hydrological Services TB3 36m
    Profile gas analyser LiCOR LI-840 32m
    Profile pressure line Vaisala CS105 16m
    Profile air pressure Vaisala CS106 16m
    Flow meter Aalborg GFM17 16m
    Photosynthetically Active Radiation (PAR) sensor Campbell Scientific Quantum LI-190 2 at 36m, one facing upward, one facing downward
    4-channel light sensor Skye Instruments SKR 1850 2 at 36m, one facing upward, one facing downward
    Whroo live camera

    This image is taken by a Vivotek Network Camera (IP8362) and is updated every 30 minutes. The timestamp is provided in Coordinated Universal Time (UTC).


    Whroo MODIS data

    The data was obtained from the Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics (ORNL DAAC) (https://daac.ornl.gov/MODIS/). The ORNL DAAC provides MODIS Land Product Subsets for model validation, site characterisation and remote-sensing purposes.

    Daily updated data was obtained from this provider, with an area of 3x3km extracted using Python script written by Mr. Darien Pardinas-Diaz ([email protected]). The plots were produced using QC Filter Conditions 000 and 001. Condition 000 represents the highest QC Filter possible and 001 represents a reliable and usable QC Filter, though not to the standard of 000.

    Whroo modis