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    This dataset lists land surface substrate characteristics observed in Rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> Land surface substrate observations are collected at each site as part of the AusPlots Point intercept method. At each site, observations on the substrate type (e.g. rock, coarse woody debris, litter) are recorded on transect laid out on the plots. These records form the basis for ground cover derivation, see the AusPlots Ground cover and Point intercept methods below.<br />

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    This dataset list landform characteristics (i.e. visible features of a land area) observed in Rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> Landform observations are recorded at each site as part of the AusPlots Plots and Physical Descriptions method. Observations on the landform elements and their patterns are recorded as part of this protocol.<br />

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    <br>This dataset lists the occurrence of fungi and their abundance identified at rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> <br>Fungi occurrences (i.e. a sample of a fungi at a particular point and time) are methodically identified at each site as part of the AusPlots Point intercept method. Fungi occurrences data can be aggregated across the site to calculate relative abundance, fungi ground cover.<br />

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    We used Digital Soil Mapping (DSM) technologies combined with the real-time collations of soil attribute data from TERN's recently developed Soil Data Federation System, to produce a map of Australian Soil Classification Soil Order classes with quantified estimates of mapping reliability at a 90m resolution.

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    The record contains information on beetle succession in decaying <i>Eucalyptus obliqua</i> logs, from 1999-2009. Data on beetle species identification, field sampling notes, and collection details from eucalyptus logs across the decade range from 1999 - 2009 are provided.

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    This dataset lists plant species vouchered for identification from Rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> Plant specimens are methodologically collected at each site as part of the AusPlots Vegetation vouchering method. Recorded information includes the site, date of collection and a voucher barcode. The specimen data is updated with the identification date and authority details when species identification is confirmed by the Herbaria. <br /> Plant population and community, soil, basal area and structural information are also assessed at each site. See AusPlots Vegetation vouchering and Rangelands Vocabularies for a list of parameters collected. </br>

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    This dataset lists vegetation strata and the three most dominant species in each stratum identified at rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> Vegetation strata are methodically identified at each site as part of the AusPlots Structural summary and homogeneity method. The information provided includes the type of strata found and the three most dominant species on each stratum.<br />

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    <br>This dataset lists the plant communities from Rangeland sites across Australia described by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br /> <br> For each plant community, species richness, relative species abundance, vegetation condition as well as the spatial extent of the community, are described using AusPlots Point intercept, Species richness, Relative species abundance, and Plot and Physical Descriptions methods. Plant species are identified at every site as part of the AusPlots Vegetation vouchering method. The specimen data is updated with the identification date and authority details when species identification is confirmed by the Herbaria.<br />

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    This is Version 1 of the Soil Organic Carbon Fractions product of the Soil and Landscape Grid of Australia.<br></br> <p>The Soil and Landscape Grid of Australia has produced a range of digital soil attribute products. This product contains six digital soil attribute maps for each of three depth intervals, 0-5&nbsp;cm, 5-15&nbsp;cm, 15-30&nbsp;cm. These depths are consistent with the specifications of the GlobalSoilMap.net project - <a href="https://esoil.io/TERNLandscapes/Public/Pages/SLGA/Resources/GlobalSoilMap_specifications_december_2015_2.pdf">GlobalSoilMaps</a>. The digital soil attribute maps are in raster format at a resolution of 3 arc sec (~90 x 90&nbsp;m pixels).</p> <p>These maps are generated using Digital Soil Mapping methods.</p> <ul style="list-style-type: disc;"><li>Attribute Definition: Soil Organic Carbon Fractions : mineral-associated organic carbon (MAOC), particulate organic carbon (POC) and pyrogenic organic carbon (PyOC) (Units: Various);</li> <li>Period (temporal coverage; approximately): 1950-2022;</li> <li>Spatial resolution: 3 arc seconds (approximately 90&nbsp;m);</li> <li>Total number of gridded maps for this attribute: 18;</li> <li>Number of pixels with coverage per layer: 2007M (49200 * 40800);</li> <li>Total size before compression: about 8GB;</li> <li>Total size after compression: about 4GB;</li> <li>Format: Cloud Optimised GeoTIFF.</li>

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    This dataset contains a series of spatial outputs describing probabilistic species predictive occupancy (Species Occupancy Models, or SOM) & habitat suitability (Maximum Entropy, or Maxent) surfaces, the underlying data used to calculate these models & model projections predicting the impact of climate change on flora Maxent surfaces. <br> Model outputs are combination outputs dependent on known species occurrence in the landscape, the species relationship with environmental variables (covariates) such as temperature, rainfall and topography; and its predicted occurrence based on covariate analysis. Maxent models do not predict actual occupancy, but rather habitat suitability, while SOMs predict actual occupancy. confounding factors such as inter-species competition, geographical barriers and disturbance events play a significant role in species occurrence, and are not considered in Maxent or SOM. Flora Maxent climate change projections used NSW and Australian Regional Climate Modelling (NARCliM) variables to predict habitat suitability for a baseline year 2000 and projections for 2030 and 2070. <br> Covariates, Fauna & Flora survey records used to create the models are included. <br> More detailed information regarding each model, its processes and outputs are included in the dataset. <br> A web mapping application on the NSW Spatial Collaboration Portal depicts Maxent & SOM of a selected group of vulnerable Flora & Fauna from this dataset. Access the webapp through the link below: <br> https://portal.spatial.nsw.gov.au/portal/home/item.html?id=78e6ae3d34aa45d2b8118fd0308d6459