ABS released data contains final estimates for data items collected in the 2014–15 Rural Environment and Agricultural Commodities Survey (REACS). The statistics on crop and horticultural area and production were used to estimate biomass volumes for the Australian Biomass for Bioenergy Assessment Project. Agriculture data includes Cereal Straw, Non Cereal Straw and Hay & Silage. The Drought Minimum and Bumper Maximum has been calculated by using the total tonnage of a drought/bumper year as a percentage of the total tonnage of an average year and applying these percentages to the total for each region. (41% and 158% respectively). See RenewablesSA website for more information including metadata and data sources. http://www.renewablessa.sa.gov.au/investor-information/bio-energy-roadmap/biomass-for-bioenergy-assessment

A polygon dataset that estimates the biomass volumes of residues for cropping in Tasmania, Australia for the purposes of determining availability of biomass for bioenergy, locations and quantities. This information has been collated for the Australian Biomass for Bioenergy Assessment (ABBA) project and will be available for use on the Australian Renewable Energy Mapping Infrastructure (AREMI) platform, to build a national map to service the renewable energy sector. The polygon datasets features are based on the ABS SA4 boundaries. The cropping residue data contained in the feature dataset were derived from the Tasmanian Residues Survey (2016) which was undertaken. Applies to the following Cropping residues layers: • Cereal Straw Disclaimer While all reasonable care has been taken in the preparation of the material in this file, the Tasmanian Government and its officers accept no responsibility for any errors or omissions it may contain, whether caused by negligence, or otherwise, or for any loss, however caused, sustained by any person who relies on it.

This dataset comprises soil, plant, climatic, and management data from a 2023 field experiment conducted at Ungarra, Eyre Peninsula, South Australia. The trial aimed to evaluate the establishment and performance of long coleoptile wheat genotypes compared to short coleoptile varieties under varying sowing depths and fertiliser regimes. Three distinct experiments were conducted side-by-side: 1. Systems Trial (Water Balance): Investigated water balance at sowing using tarp treatments and sowing moisture assessments. 2. Core Genotype × Sowing Depth Trial: Compared eight wheat genotypes across three sowing depths (shallow, mid, deep). 3. Genotype × Depth × Nutrition Trial: Explored interactions between two genotypes, two sowing depths, and three fertiliser rates (45, 100, 150 kg/ha Monoammonium phosphate). Data was collected through field-based measurements including plant counts, seeding depth, NDVI (via Greenseeker), canopy cover (via Canopeo), biomass, spike counts, and grain yield using a plot header. Soil chemistry was analyzed by Eurofins APAL using standardized test codes, and rainfall data were sourced from a nearby soil moisture probe. All data was manually recorded and digitised for further analysis. The data is presented in an Excel workbook (.xlsx) contains trial details, metadata, raw experimental data and soil chemistry. The sheets are interrelated through shared identifiers such as trial number, sowing depth, genotype, and treatment number. Test variables across trials, include a range of agronomic, physiological, and soil metrics, such as grain yield, harvest ratio, biomass, coleoptile length, plant density, seeding depth, NDVI, estimated canopy cover and soil pH, EC, N, P). Codes and Symbols: - GS: Growth Stage (e.g., GS10–11) - NF: Nil Found (used in plant emergence data) - WB: Water Balance treatment codes (e.g., WB1, WB2)

#Updated September 2021 to include land use tiles. These tiles address issues with analysis of the large single dataset.# This vector dataset is a compilation of land use data for Western Australia, as at August 2018. It has been derived from various vector datasets with attribution relevant to land use in Western Australia. The date of mapping (2008 to 2018) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. The data shows a single dominant land use for a given area, based on the primary management objective of the land manager. As a seamless spatial dataset for Western Australia, it can be used to identify, map and analyse high level land use categories (such as nature conservation, dryland cropping and irrigated horticulture) and more specific land use categories (such as aquaculture and tree fruits) including some commodities (such as bananas). These categories can be extracted or combined with other spatial datasets to provide new insights and analysis concerning land use in Western Australia. Land use is classified according to the Australian Land Use and Management (ALUM) Classification version 8, a three-tiered hierarchical structure. There are five primary classes, identified in order of increasing levels of intervention or potential impact on the natural landscape. Water is included separately as a sixth primary class. Primary and secondary levels relate to the principal land use. Tertiary classes may include additional information on commodity groups, specific commodities, land management practices or vegetation information. The primary, secondary and tertiary codes work together to provide increasing levels of detail about the land use. Land may be subject to a number of concurrent land uses. For example, while the main management objective of a multiple-use production forest may be timber production, it may also provide conservation, recreation, grazing and water catchment land uses. In these cases, production forestry is commonly identified in the ALUM code as the prime land use. The operational scales of the mapping vary according to the intensity of land use activities and landscape context. Scales range from 1:5 000 and 1:25 000 for irrigated and peri-urban areas, to 1:100 000 for broadacre cropping regions and 1:250 000 for the semi-arid and arid pastoral zone. The scale of mapping generally reflects the intensity of land use. The vector geodatabase has been cut into 7 shapefile tiles. This reduces the file size and enables more analysis. The extent of tiles is shown below: • Swan Natural Resource Management region, • South West Natural Resource Management region, • South Coast Natural Resource Management region, • Northern Agricultural Region Natural Resource Management region, • Peel Harvey Natural Resource Management region, • Avon Natural Resource Management region, • Rangelands Natural Resource Management region