High quality passive infrared wildlife cameras were used to acquire information on faunal biodiversity at the site. Two cameras were deployed from July to Dec 2018 and between March and May 2019. <br /><br /> The Gingin Banksia Woodland SuperSite was established in 2011 and is located in a natural woodland of high species diversity with an overstorey dominated by Banksia species. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/gingin-banksia-woodland-supersite/. <br /> Other images collected at the site include digital cover photography, phenocam time-lapse images taken from fixed under and overstorey cameras and ancillary images of flora.

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 (v3.3.0) as described in Isaac et al. (2017), <a href="https://doi.org/10.5194/bg-14-2903-2017">https://doi.org/10.5194/bg-14-2903-2017</a>. 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 <a href="https://github.com/OzFlux/PyFluxPro/wiki">https://github.com/OzFlux/PyFluxPro/wiki</a>. <br /> <br /> The site was identified as tropical pasture dominated by species <em>Chamaecrista rotundifolia</em> (Round-leaf cassia cv. Wynn), <em>Digitaria milijiana</em> (Jarra grass) and <em>Aristida sp.</em> standing at approximately 0.3m tall. The soil at the site was a mixture of red kandosol and deep sand. Elevation of the site was close to 70m and mean annual precipitation at a nearby Bureau of Meteorology site was 1250mm. Maximum temperatures ranged from 37.5°C (in October) to 31.2°C (in June), while minimum temperatures ranged from 12.6°C (in July) to 23.8°C (in January). Maximum temperatures varied on a seasonal basis between 6.3°C while minimum temperatures varied by 11.2°C. <br /> <br /> The instrument mast was 15 meters tall. Heat, water vapour and carbon dioxide measurements were 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. <br />Ancillary measurements taken at the site included LAI, leaf-scale physiological properties (gas exchange, leaf isotope ratios, N and chlorophyll concentrations), vegetation optical properties and soil physical properties. Airborne based remote sensing (Lidar and hyperspectral measurements) was carried out across the transect in September 2008. <br /> The site was destroyed by fire in September 2013. <br />

<p>Fixed cameras installed at the Alice Mulga SuperSite provide a time series of fine scale data as a long-term record of vegetation structure and condition. This dense time series of phenocam images provides data for analysis of ecological responses to climate variability, and when consolidated across the entire terrestrial ecosystem research network, supports calibration and validation of satellite-derived remote sensing data, ensuring delivery of higher quality results for broader scale environmental monitoring products. </p> <p>Images are captured half hourly during daylight hours. Images and data products, including timeseries of the Green Chromatic Coordinate (Gcc) for a region-of-interest (ROI) that delineates an area of specific vegetation type, are made available on an almost real-time basis. </p><p> The Alice Mulga SuperSite was established in 2010 at Pine Hill Cattle Station with research plots located in low open woodland Mulga (<em>Acacia aneura</em>) and non-Acacia, hummock grassland, and river red gum forest. The core 1 ha plot is located in a dense Mulga woodland (cover 70–80%), while the Ti Tree East subsite is located in a mosaic of hummock grassland/Corymbia savanna with patches of Mulga/tussock grass. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/alice-mulga-supersite/ . </p><p> Other images collected at the site include photopoints, digital cover photography (DCP), panoramic landscape and ancillary images of fauna and flora.</p>

<p>This dataset contains audio files from Daintree Rainforest SuperSite, Cape Tribulation. The site is located at the Daintree Rainforest Observatory in lowland complex mesophyll vine forest near Cape Tribulation. The site has more than 80 species including canopy trees belonging to the <em>Arecaceae, Euphorbiaceae, Rutaceae, Meliaceae, Myristicaceae</em> and <em>Icacinaceae</em> families. For additional site information, see <a href="https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/daintree-rainforest-supersite">Daintree Rainforest SuperSite</a></p> <p>In 2020 four acoustic recorders were set up to collect audio data continuously as part of the Australian Acoustic Observatory (A2O) project. Two recorders were placed in relatively wet habitats and two in relatively dry habitats.</p>

The QBEIS survey database (formerly CORVEG) contains ecosystem physical and vegetation characteristics, including structural and floristic attributes as well as descriptions of landscape, soil and geologic features, collected at study locations across Queensland since 1982. The resulting survey database provides a comprehensive record of areas ground-truthed during the regional ecosystems mapping process and a basis for future updating of mapping or other relevant work such as species modelling.<br /><br /> Only validated survey data is made publicly available and all records of confidential taxa have been masked from the dataset. Data is accessible from the TERN Data Infrastructure, which provides the ability to extract subsets of vegetation, soil and landscape data across multiple data collections and bioregions for more than 100 variables including basal area, crown cover, growth form, stem density and vegetation height.

<br>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 (v3.4.7) 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).</br> <br>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 <em>Eucalyptus moluccana</em> and <em>Eucalyptus fibrosa</em>, which host an expanding population of mistletoe. Average canopy height is 23&nbsp;m, the elevation of the site is 20&nbsp;m and mean annual precipitation is 800&nbsp;mm. Fluxes of water vapour, carbon dioxide and heat are quantified with the open-path eddy flux technique from a 30&nbsp;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&nbsp;hr fuel moisture dynamics. In addition, regular monitoring of understory species abundance, mistletoe infection, leaf area index and litterfall are also performed.

<p>Tree structural characteristics are collected at the centre of a site, usually in conjunction with the Statewide Landcover and Trees Study (SLATS) star transect field data. The basal wedge is first used to identify a sample of trees then direct measurements are taken of each tree, which constitute the tree structural characteristics.Tree structural measurements have been collected at several locations across Australia (including the formally known AusCover Supersites) to relate field-based measurements to satellite data products, such as Landsat-derived ground cover estimates.</p> <p>Data can be downloaded from https://field.jrsrp.com/ by selecting the combination Field and Tree Structure.</p>

High quality digital site reference images are captured for the core 1 hectare vegetation plot of the site on an annual basis to provide context for researchers to understand the general layout and vegetation of the study site, and as a visual reference to monitor any changes over time. Photopoints will be taken annually using the five point photopoint method. The set of images for each year usually consists of twenty images: four images taken at each corner of the plot facing each of the four cardinal points, and four images taken from the centre of the plot facing each corner. <br /><br /> The Mitchell Grass Rangeland SuperSite is located at Rosebank Station approximately 11 km south-east of Longreach in Queensland. The site is arid tussock grassland with a variety of grass species including <em>Astrebla lappacea</em> and <em>Astrebla squarrosa</em> over black vertosol soil that supports sheep and beef cattle grazing. Traditional owners at this site are the Iningai people. For additional site information, see https://www.tern.org.au/tern-observatory/tern-ecosystem-processes/mitchell-grass-rangeland-supersite/ . <br /><br /> Panoramic images are also collected at the site.

Plant material decomposition in soil was investigated using two types of tea bags (Green and Rooibos) buried to 8 cm for 80-90 days across seven TERN SupperSites between 2016 - 2017. The sites included: Great Western Woodlands, Robson Creek Rainforest, Samford Peri-Urban, Cumberland Plain, Cape Tribulation, Warra Tall Eucalypt and Tumbarumba Wet Eucalypt sites. Weight loss of tea bags was determined and contextual data collected.

The climate adjusted linear seasonal persistent green trend is derived from analysis of the linear seasonal persistent green trend, adjusted for rainfall. The current version is based on the 1987-2014 period. <br> Seasonal persistent green cover is derived from seasonal cover using a weighted smooth spline fitting routine. This weights a smooth line to the minimum values of the seasonal green cover. This smooth minimum is designed to represent the slower changing green component, ideally consisting of perennial vegetation including over-storey, mid-storey and persistent ground cover. The seasonal persistent green is then summarised using simple linear regression, and the slope of the fitted line is captured in the linear seasonal persistent green product. This product is further processed to produce a climate-adjusted version.