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    This dataset provides understorey herbaceous biomass, ground cover and overstorey woody cover response to different fire regimes over a twenty year period at a grassland and open woodland in the tropical savannas of northern Australia. BOTANAL was used to assess understorey herbaceous biomass. Woody canopy cover was derived from digital analysis of oblique aerial imagery taken from a helicopter at the site in 1995 and again in 2013. Woody cover (tree basal area and canopy cover) was also assessed using a bitterlich gauge on BOTANAL ground based transects in 2009. The data could be used to calibrate models of herbaceous growth and woody cover change in response to long term fire. It may be useful for assessing climate change impacts on aboveground carbon sequestration. The fire regimes tested were of varying frequency (every 2, 4 and 6 years) and season (June vs. October) of fire compared to unburnt controls on woody cover and pasture composition. Sites were open to grazing by cattle.

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    This data contains stem diameter, height measurement, basal area and above ground living biomass calculations for all stems ≥10cm diameter at breast height located in the Litchfield Savanna site.

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    <br>This dataset lists plant species and their abundance identified at rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> <br>Plant occurrences (i.e. a sample of a plant at a particular point and time) are methodically identified at each site as part of the AusPlots Point intercept method. Plant species are identified at each site as part of the AusPlots Vegetation vouchering and Basal Area methods. In addition to site visit date and location, the information provided includes growth form, vegetative height and whether the plant is dead. In-canopy-sky is also recorded if there is no intercept to foliage or branches when viewing the canopy through the densitometer and can be used to calculate species cover or aerial cover. Other recorded information includes dead plants basal area and the number of sampling points. Species identification is updated once confirmed by Herbaria. Plant occurrences data can be aggregated across the site to calculate relative species abundance, green ground cover, species- growth form- and -community-level basal area.<br /> <br>In addition, at least one specimen is taken from each species at the site, assigned a barcode and provided for vouchering and further analyses. See AusPlots Rangelands Vocabularies for a list of parameters collected. </br>

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    The SLATS star transect field dataset has been compiled as a record of vegetative and non-vegetative fractional cover as recorded in situ according to the method described in <a href="https://www.researchgate.net/publication/236022381_Field_measurement_of_fractional_ground_cover">Muir et al (2011)</a>. The datasets are a combination of vegetation fractions collected in three strata - non-woody vegetation including vegetative litter near the soil surface, woody vegetation less than 2 metres, and woody vegetation greater than 2 metres - at homogeneous areas of approximately 1 hectare. This dataset is compiled from a variety of sources, including available sites from the ABARES ground cover reference sites database.

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    This data contains stem diameter, height measurement and above ground living biomass calculations for a remnant Eucalyptus woodland from 2014 - present. Diameter and height measurements for stems ≥10cm diameter at breast height were sampled within the core 1 ha plot within the Cumberland Plain site. Mistletoe cover data is also presented.

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    This data contains stem diameter, height measurement, basal area, sapwood area and above ground living biomass calculations for all for stems ≥10cm diameter at breast height in four 1 ha plots at the Great Western Woodlands site in Western Australia from 2012 - present.

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    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.

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    <p> TERN Ecosystem Surveillance is a plot-based field monitoring platform that tracks the direction and magnitude of change in Australia’s environments. Information on soils and vegetation is collected according to standardized, widely endorsed and consistent protocols across all plots, and includes the collection of soil and vegetation samples for subsequent analysis.</p> <p>Data collected by TERN is stratified across the entire continent to ensure adequate coverage of major Australian ecosystems, and measures are repeated at least once a decade, with the aim to establish replicate plots throughout the ecosystem types existing within Australia’s Major Vegetation Groups (MVG’s). Additional plots located in key environmental transition zones will be re-measured every five years.</p> <p>TERN users include researchers, land managers and policy-makers who require access to terrestrial ecosystem attributes collected over time from continental scale to field sites at hundreds of representative locations. TERN provides model-ready data that enables users to detect and interpret changes in ecosystems. In addition, TERN curates The TERN Australia Soil and Herbarium Collection with over 150,000 vegetation and soil samples (and associated contextual environmental data) freely available to loan on request.</p> <p>TERN’s world-class surveillance monitoring infrastructure will support long-term ecological inventory, environmental monitoring, environmental prediction, reporting and assessment, and underpin decisions about our greatest environmental challenges.</p> <p>Occurrence records can be accessed through the <a href="https://www.ala.org.au/">Atlas of Living Australia</a>.</p>