This dataset contains global dryland literature abstracts from over the last 75 years (8218 articles) to identify areas in arid ecology that are well studied and topics that are emerging.

This data contains soil physico-chemical characteristics collected at the Alice Mulga site in 2013.

<br>This dataset lists soil samples collected in Rangeland sites across Australia by the TERN Surveillance Monitoring team, using standardised AusPlots methodologies. <br/> <br>Soil samples are collected at each site as part of the AusPlots Soil samples method. For each soil sample fine earth bulk density, gravel bulk density, wet and dry weight are estimated and coarse fragments lithology, abundance, size and shape observed as part of the Ausplots Soil samples and Soil bulk density method.<br/>

This data contains soil description, bulk density and soil moisture characteristics collected at the Calperum Mallee site in 2012.

These datasets consist of soil maps generated to assess baselines, drivers and trends for soil health and stability within the NSW Regional Forest Agreement (RFA) regions. <br> The maps are organised into empirical soil maps, digital soil maps, and data cube maps. <br> Empirical soil maps consists of four products. Maps include topsoil pH, carbon, Emerson Aggregate Stability and Soil Profile Quality Confidence. Each map consists of 2,162 units. Maps were generated using the most representative soil profile for each unit available within the Soil and Land Information System (SALIS). The 2008 woody vegetation coverage was used as baseline. Maps reflect values when the sampling occurred with temporal changes not being accounted for. Locations with missing or of poor quality data are identified, providing a confidence rating map as part of the evaluation process.<br> Digital soil maps include map products of key soil condition indicators covering the Regional Forest Agreement regions of eastern NSW. Raster maps of key soil indicators, such as soil carbon, pH, bulk density, hillslope erosion and others, were created at 100 m resolution. For each key soil indicator, maps include baseline (approximately 2008) levels as well as trends of change resulting from different human and natural disturbances such as forest harvesting, uncontrolled stock grazing, climate change and bush fire. <br> Data cube maps include time series of soil organic carbon (SOC) between January 1990 and December 2020 for the Regional Forest Agreement regions of eastern NSW. Products provide estimates of SOC concentrations and associated trends through time. Modelling was carried out using a data cube platform incorporating machine learning space-time framework and geospatial technologies. Important covariates required to drive this spatio-temporal modelling were identified using the Recursive Feature Elimination algorithm (RFE). <br> A web mapping application on the NSW Spatial Collaboration Portal depicts these datasets. Access the webapp through the link below:<br> https://portal.spatial.nsw.gov.au/portal/home/item.html?id=af9c71935f024f4a8f64cb39f5eba007

This data contains soil physico-chemical characteristics collected at the Samford Peri-Urban site in 2013.

Leaf traits for 101 populations of <i>Dodonaea viscosa subsp. angustissima </i>(Sapindaceae) opportunistically collected across a ~1,000 km latitudinal north-south sequence with climates grading from the arid zone to the mesic Mediterranean zone. Additionally, we present leaf traits for 266 individuals on an attitudinal gradient in the Mt Lofty Ranges, South Australia. Traits measured include leaf area and specific leaf area, as well as climatic variables associated with the collection sites. <p>Leaf area is known to be responsive to climatic conditions. This data could be combined with additional collections for Dodonaea viscosa or broader plant trait data sets to explore pant responses to environmental change.</p>

This data contains soil physico-chemical characteristics collected at the Cumberland Plain site in 2013.

This data contains soil physico-chemical characteristics collected at the Whroo Dry Eucalypt site in 2015.

This data contains soil physico-chemical characteristics collected at the Daintree Rainforest, Cow Bay site between 2011 - 2014.