The Catchment Scale Land Use of Australia – Commodities – Update December 2020 dataset shows the location and extent of select agricultural, mining and forest product commodities, where mapped. This dataset replaces the Catchment Scale Land Use of Australia – Commodities – Update December 2018 version 2 released on 26 November 2019. This dataset is the third national compilation of catchment scale commodity data for Australia (CLUMC), current as at December 2020. It has been compiled from vector land use datasets collected as part of state and territory mapping programs through the Australian Collaborative Land Use and Management Program (ACLUMP). The commodities data complements the Catchment Scale Land Use of Australia – Update December 2020 dataset (ABARES 2021). ##What’s new?## The following areas have updated mapping since the December 2018 version 2: Burnett-Mary and Fitzroy natural resource management (NRM) regions in Queensland (2017 from 2009); Sydney basin in New South Wales (2017 from 2003); the state of Tasmania (2019 from 2015). More detail has been added in the Darwin-Litchfield and Katherine areas in Northern Territory (2016). Users should update any references or links to previous CLUMC datasets in their databases. ##Citation## This publication (and any material sourced from it) should be attributed as: ABARES 2021, Catchment Scale Land Use of Australia – Commodities – Update December 2020, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, February CC BY 4.0. DOI: 10.25814/jhjb-c072

The Catchment Scale Land Use of Australia – Update 2020 dataset is the national compilation of catchment scale land use data available for Australia (CLUM), as at December 2020. It replaces the Catchment Scale Land Use of Australia – Update December 2018. It is a seamless raster dataset that combines land use data for all state and territory jurisdictions, compiled at a resolution of 50 metres by 50 metres. The CLUM data shows a single dominant land use for a given area, based on the primary management objective of the land manager (as identified by state and territory agencies). Land use is classified according to the Australian Land Use and Management Classification version 8. It has been compiled from vector land use datasets collected as part of state and territory mapping programs through the Australian Collaborative Land Use and Management Program. Catchment scale land use data was produced by combining land tenure and other types of land use information, fine-scale satellite data and information collected in the field. The date of mapping (2008 to 2019) and scale of mapping (1:5,000 to 1:250,000) vary, reflecting the source data, capture date and scale. Date and scale of mapping are provided in a supporting dataset. #What’s new?# The following areas have been updated since the December 2018 version: Burnett-Mary and Fitzroy natural resource management (NRM) regions in Queensland (2017 from 2009); Sydney basin in New South Wales (2017 from 2003); the state of Tasmania (2019 from 2015). The following areas include some reclassification; the Darwin-Litchfield and Katherine areas in Northern Territory, rural residential areas in New South Wales. Users should update any references or links to previous CLUM datasets in their databases. #Citation# This publication (and any material sourced from it) should be attributed as: ABARES 2021, Catchment Scale Land Use of Australia – Update December 2020, Australian Bureau of Agricultural and Resource Economics and Sciences, Canberra, February CC BY 4.0. DOI: 10.25814/aqjw-rq15

#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

This dataset has been superseded. An updated version of this dataset is available from the ABARES website. This dataset is the first national compilation of catchment scale commodity data for Australia (CLUMC), current as at September 2017. It has been compiled from vector land use datasets collected as part of state and territory mapping programs through the Australian Collaborative Land Use and Management Program (ACLUMP). It complements the Catchment Scale Land Use of Australia - Update September 2017 dataset (ABARES 2017). Agricultural commodities are assigned to the Australian Land Use and Management (ALUM) Classification version 8 (ABARES 2016) classes based on; perceived intervention to the landscape, growing conditions and management, the intended use of the commodity, consistency with national and international reporting frameworks and standards, such as National Plantation Inventory, industry guidelines, Australian Bureau of Statistics, harmonised trade codes and ABARES commodity reports, where possible. Commodities data were produced as part of catchment scale land use mapping and primarily uses fine-scale satellite data and information collected in the field (ABARES 2011, 2015). Field validation was critical for mapping commodities. The date of mapping (2003 to 2017) and scale of mapping (1:5 000 to 1:250 000) vary, reflecting the source data, capture date and scale. Jurisdictions captured commodity data (where possible) for those areas most recently mapped in the Catchment scale land use of Australia - Update September 2017 (ABARES 2017) with a focus on horticultural and intensive animal industries. Other commodities which are tertiary classes of the ALUM classification (such as sugar cane, cotton, rice, olives and grapes) have been mapped by jurisdictions for some time and are included in this dataset. Agricultural commodity level mapping is available for all of the Northern Territory, and is likely to be complete for the following commodities nationally: * Crops - rice, sugar cane, cotton * Fruit - bananas (except Southern Queensland), avocados, mangoes, olives, grapes * Nuts - macadamias * Livestock - dairy cattle, pigs, poultry, horse studs, aquaculture. Commodity information is selected from an agreed list of commodity names developed by ACLUMP partners. A commodity may be applied to one or many land use codes. For example the commodity 'wheat' is applied to class 3.3.1, 'Cropping' or 4.4.1, 'Irrigated cropping', while 'cattle' may be applied to any land use where cattle are observed including 2.1.0 'Grazing native vegetation', 3.2.0 'Grazing modified pastures', 4.2.0 'Grazing irrigated modified pastures', 5.2.2 'Feedlots' etc. The commodity description is intended to add information to the catchment scale land use map which is not otherwise recorded in the ALUM Classification. Where there are several suitable commodity descriptions mappers are encouraged to record the most detailed description. For example when cattle breeds are known to be for milk production mappers would apply the commodity description 'cattle dairy' rather than just 'cattle'.