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.

A polygon dataset that estimates the biomass volumes of residues for livestock 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 livestock residues data contained in the feature dataset were derived from the Tasmanian Residues Survey (2016) which was undertaken. Applies to the following Livestock residues layers: • Aquaculture Residues • Dead Animals Residues • Farm Manure Residues • Saleyard Manure Residues • Waste Residues 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.

Data Description A polygon dataset that estimates the biomass volumes of residues for wood processing 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 wood processing residues data contained in the feature dataset were derived from the Tasmanian Residues Survey (2013) which was undertaken. Applies to the following Wood processing layers: • Wood Processing Residues 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.

Data Description A polygon dataset that estimates the green biomass volume (green metric tonnes) of harvest residues in planted softwood, planted hardwood and native forest across all tenures 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 annual harvest residue data contained in the feature dataset were derived from a set of 30 year forest harvest simulation models developed as part of the ‘Residues Solution Study’ (http://www.stategrowth.tas.gov.au/forestry/residues). The models were developed in joint by Private Forests Tasmania and Forestry Tasmania. The harvest residues data is presented for each of the nine Forestry Tasmania supply regions and is classified into four source forest types (All Planted Softwood, All Planted Hardwood, Publicly Managed Native Forest and Privately Managed Native Forest) and the harvest period 2019-2026, expressed as separate layers as follows: o Native Forest - harvest residues o Plantation Hardwood - harvest residues o Plantation Softwood - harvest residues Disclaimer The data supplied was produced from predictive models developed from available resource information, and market and owner intent assumptions, as at December 2013, obtained from a range of external sources. As such the actual harvest residue levels to be achieved in any given period into the future will most likely vary from the values provided and the user should seek confirmation from relevant Government agencies and forest managers before using in any investment or other decision making process. 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.

Data Description A set of supplementary information to the Forestry Residues layers: • Production Forests: a raster dataset displays the 2015 extent of production forest available for commercial use across Tasmania, and; • Wood Processing Facility: a point dataset displays the primary wood processor facility locations across Tasmania for 2017. 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.

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. 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

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

The Tasmanian Land Use 2021 spatial data set is produced at catchment scale and is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the "Guidelines for land use mapping in Australia: principles, procedures and definitions, 4th edition 2011" and "Addendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Edition". Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management (ALUM) Classification version 8, allowing land uses to be attributed as broad classes to individual commodities where possible. This produces nationally consistent land use mapping to inform, support and enable innovation and action in response to economic, social and environmental challenges. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The 2021 data set has been derived through a modelling spatial analysis process of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge and data from stakeholders. The modelling process, previously used for the Tasmanian Land Use 2019, was updated for the 2021 dataset and continues to allow a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping has been predominately updated in areas of nature conservation, managed resource protection, perennial horticulture, irrigation and plantation forests. Land use mapping is completed to the ALUM secondary and tertiary level with commodity information where available. The Australian Land Use and Management (ALUM) Classification has a three-tiered hierarchical structure. Primary, secondary and tertiary classes are broadly structured by the potential degree of modification and the impact on a putative "natural state" (essentially, a native land cover). Primary and secondary classes relate to land use - the main use of the land, defined by the management objectives of the land manager. Tertiary classes can include commodity groups, specific commodities, land management practices or vegetation information. Tertiary-level data are particularly valuable in many natural resource planning and management applications but are often expensive to collect. The ALUM Classification includes six primary classes. The five primary classes of land use are distinguished in order of increasing levels of intervention or potential impact on the natural landscape. Water is also included as a sixth primary class. The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use)

The Tasmanian Land Use 2019 spatial data set is produced at catchment scale which is undertaken through the Australian Collaborative Land Use and Management Program (ACLUMP) using standards set out in the 'Guidelines for land use mapping in Australia: principals, procedures and definitions, 4th edition 2011' and 'Addendum to the Guidelines for land use mapping in Australia: principles, procedures and definition, 4th Edition'. Land use is classified by its prime use using a hierarchical structure, Australian Land Use and Management (ALUM) Classification version 8, allowing land uses to be attributed as broad classes to individual commodities where possible. This produces nationally consistent land use mapping to inform, support and enable innovation and action in response to economic, social and environmental challenges. Land use information shows how we use the landscape, whether that is for food production, forestry, nature conservation, water storage or urban development. The data set has been derived through spatial analysis of ancillary data sets, interpretation from imagery (Google Earth, State Orthophoto and Landsat composite) and expert knowledge and data from stakeholders. A modelling process used to partially create Tasmanian Land Use 2015 was updated and used to partially create the 2019 data set allowing a repeatable process for future iterations of land use mapping. The land use mapping coverage is available for mixed dates at a scale that varies according to the intensity of land use activities and landscape context. This iteration of land use mapping has been predominately updated in areas of nature conservation, managed resource protection, perennial horticulture, irrigation, intensive animal production and plantation forests. Land use mapping is completed to the ALUM secondary and tertiary level with commodity information where available. The Australian Land Use and Management (ALUM) Classification has a three-tiered hierarchical structure. Primary, secondary and tertiary classes are broadly structured by the potential degree of modification and the impact on a putative "natural state" (essentially, a native land cover). Primary and secondary classes relate to land use 'the main use of the land', defined by the management objectives of the land manager. Tertiary classes can include commodity groups, specific commodities, land management practices or vegetation information. Tertiary-level data are particularly valuable in many natural resource planning and management applications but are often expensive to collect. The ALUM Classification includes six primary classes. The five primary classes of land use are distinguished in order of increasing levels of intervention or potential impact on the natural landscape. Water is also included as a sixth primary class The primary classes of land use in the ALUM Classification are: 1. Conservation and natural environments - land used primarily for conservation purposes, based on maintaining the essentially natural ecosystems present 2. Production from relatively natural environments - land used mainly for primary production with limited change to the native vegetation 3. Production from dryland agriculture and plantations - land used mainly for primary production based on dryland farming systems 4. Production from irrigated agriculture and plantations - land used mostly for primary production based on irrigated farming 5. Intensive uses - land subject to extensive modification, generally in association with closer residential settlement, commercial or industrial uses 6. Water - water features (water is regarded as an essential aspect of the classification, even though it is primarily a land cover type, not a land use).