This dataset was developed from the database of Ocean Sciences Institute of Sydney University (AUSEABED) and from surveys conducted by MAFRI.

This dataset is a simplified and generalised version of the NV2005_EXTENT dataset. The parameters of the simplification and generalisation have been set to produce a a product suitable for mapping at scales between 1:30000 and 1:400000

This layer contains modelled old-growth forest which has been updated with forest harvesting and fire. The base layer used in western part of the state is og100 which was updated by lastburnt100, lastlog25 and boundaries of the 2006 Grampians fire from ECC. The base layer for the eastern part of the state is mog2003 updated by lastlog25 & lastburnt100. The old-growth forests in the base layers were identified to meet the Victorian definition of old-gwoth forest based on a set of modelling criteria, rules and input datasets. The data is not reliable at scales less than 1:100,000. Old-growth polygons have not been confirmed through field checking and the reliability of modelled old-groth stands have not been assessed.

This dataset was developed from the database of Ocean Sciences Institute of Sydney University (AUSEABED) and from surveys conducted by MAFRI.

This layer represents the spatial extent, species distrubtion and density of seagrass meadows within the Corner Inlet and Nooramunga. This layer is a result of a baseline survey of seagrass within the Corner Inlet and Nooramunga. Ecological research into the health of seagrass meadows requires the type of detailed information collected in this baseline survey. This information will be used to establish future monitoring programs and it is envisaged that these areas will be re-surveyed every 5 years to detect macro changes.

This dataset is a simplified and generalised version of the NV2005_EXTENT dataset. The parameters of the simplification and generalisation have been set to produce a a product suitable for mapping at scales between 1:400000 and 1:2000000

Distribution and severity of psyllid infestation of selected Departmental Forest Blocks. This layer shows the distribution and severity of psyllid infestation of selected Forest Blocks. This is an interim layer awaiting the formation of the Psyllid Working Group.

This is a derived dataset that delineates the current Bioregional Conservation Status of EVCs within the modeled 1750 EVC dataset. The dataset is derived from a combination of both Victorian bioregions (VBIOREG100) and the modeled 1750 EVC dataset (NV1750_EVC), with an assigned conservation status on the basis of unique Bioregion EVC units. The dataset underpins the implementation of Victoria's Native Vegetation Management Framework, and the preparation of Regional Vegetation Plans in addition to other biodiversity planning. The dataset requires upgrading when either of the two input datasets change. Note erratum under Data Quality-Completeness-Classification

This dataset is a simplified and generalised version of the NV2005_EXTENT dataset. The parameters of the simplification and generalisation have been set to produce a a product suitable for mapping at scales above 1:2000000

The proposed layer for East Gippsland's modelled old-growth forest derived from both vector and grid based analysis using disturbance data that post dates the source old-growth analyses. Areas delineated as old growth forest are identified to meet the Victorian definition of old-growth forest based on a set of modelling criteria, rules and input datasets. The data is not reliable at scales less than 1:100,000 (ie 1:25,000), not all old-growth polygons have been confirmed by field checking and the reliability of the modelled linework has not been verified.