This data contains vegetation structure, species composition, cover and species basal area data collected at seven sites within the Samford Ecological Research Facility (SERF) in 2010

This data package comprises fire severity scores from Kakadu in 2014. A total of 220 permanent monitoring plots (40&nbsp;m x &nbsp;20 m) were established across three parks (Kakadu, Litchfield and Nitmiluk) in 1994-1995 to monitor biotic change. Of these, 132 plots are located in Kakadu. These sample a variety of landform and vegetation type/habitat conditions. A substantial proportion of plots were positioned deliberately at sites likely to reveal environmental dynamics, especially at ecotones and in patches of fire-sensitive vegetation. For example stands of <i>Callitris</i>, sandstone heaths. As well, many plots are located at, or in the near vicinity of, intensively managed sites such as camp-grounds and other tourist destinations. A synopsis of related data packages which have been collected as part of the Three Park Savanna Fire-effects Plot Network’s full program is provided at <a href="http://www.ltern.org.au/index.php/ltern-plot-networks/three-parks-savanna ">LTERN</a>

The data set contains count data of amphibians from surveys of grazing properties in the Central and Southern Tablelands of NSW, Australia. Amphibians were surveyed using pitfall and funnel trapping along transects. Twelve properties were surveyed for the data set. Each property was surveyed 5 times for five trap nights on each survey between 2014 and 2015. A total of 2378 amphibians were captured from 11 different species during the surveys. All species captured were from one of three families: Limnodynastidae (three species), Myobatrachidae (four species) and Hylidae (four species).

<p>The dataset comprises well-designed survey data from the first fuel load survey across 192 transects within the 48 AusPlots Forests, 1-ha monitoring plots across Australia. Data includes: [1] Site identifiers (ID and Site Name) and site- or transect- specific notes from the fuel survey campaign; [2] Transect survey dates; [3] Transect photograph numbers and attributes (Bearing, Slope and Aspect); [4] Fuel measurements (Grass and Litter height; Duff depth; Fine Woody fuel counts and Coarse Woody fuel counts and diameter; Projective cover for biomass components (Grass, Litter, Herbs, Vines and Shrubs), and Mass of biomass components (Grass, Litter, Herbs and Vines)); [5] Moisture content for biomass components (Grass, Litter, Herbs and Vines).</p> Descriptions of the data and coding protocols used in the database are explained in (a) the database itself; (b) the explanatory file attached to this dataset and (c) the Ausplots Forest Monitoring Network Manual. The protocols and coding used in this module are drawn directly from international forest fuel survey protocols and are consistent with other Australian forest fuel inventory methodologies.</p> For site-level aggregation of the data, please see the following record: &nbsp;<a data-fr-linked="true" href="https://portal.tern.org.au/metadata/TERN/1dd61f70-7fc8-495f-8c88-823e2834b10b">https://portal.tern.org.au/metadata/TERN/1dd61f70-7fc8-495f-8c88-823e2834b10b</a></p>

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.

Experimental sites were established in the northern wheat-growing district of western Australia (Lat -29.66°, Long 116.18°) in August 2017, and monitored through to November 2019. We selected five planted old field sites with similar soil types and vegetation composition. Old fields were planted with York gum (Eucalyptus loxophleba Benth.) and dominant shrubs as understorey. At the time of sampling in 2017, vegetation age ranged from 8–13 years and distance from remnant measured 279 m (± 162 m). We established two control and two treatment plots, each measuring 5 m x 5 m, in the interrows of five planted old field sites. Both treatments were randomly assigned to plots within each site. Between August and early November 2017, we measured a total of 30 response variables at each of the control and treatment plots. Response variables included soil physical and chemical properties (bulk density, penetration resistance, soil moisture, nitrogen and carbon pools), microbial biomass, decomposition rate of roiboos and green tea as per the standardized Tea Bag Index (TBI) protocol, herbaceous vegetation cover and richness, and ant abundance and richness, as well as abundance and richness of ant functional groups.

This dataset lists land surface characteristics observed in Rangeland sites across Australia by the TERN Ecosystem Surveillance team, using standardised AusPlots methodologies. <br /> Land surface observations are collected at each site as part of the AusPlots method. At each site, observations on ground cover, lithology, erosion (state, extent, and human accelerated), surface drainage, microrelief, aspect and angle are recorded as part of the Ausplots Ground cover and Plot description methods.<br />

<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>

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.