This layer is not current (see LBPZONE25) but it maintained for historical purposes. A zoning of forest into suitability of habitat for Leadbeater's Possum (LBP) (Gymnobelideus leadbeateri), based on a visual interpretaion of aerial photographs to identify certain density classes of stags, followed by refinement based on ground survey.

Replaces FIREINST. Fire Installations recorded by the Department including fire towers, Airfields, workcentres and remote radio sites.

This dataset was created in conjunction with PLM25, to represent the management overlays. The attributes are based on the PLM25 structure. The overlays have been mapped at 1:25 000, using VicMap topographic data to create more accurate and identifiable boundaries. PLM25_OVERLAYS is located under the CROWNLAND schema. It has been created in conjunction with PLM25 to ensure the overlays match the PLM25 land management categories. PLEASE NOTE: This dataset now replaces the PLM100 overlays. PLM25_OVERLAYS_RA is a view of PLM25_OVERLAYS. This dataset is a representation of the certified plans - the gazettal and certified plans are the official boundaries. Currently the creation process is not automated or synchronised with PLM25 updates.

Replaced by the dataset VMADMIN_DEPI_REGION. This dataset contains the Department of Sustainability & Environment (DSE) Regional Boundaries as defined by DSE. The regions are based on the Victorian Government Regional Boundaries. The main difference is that the three metropolitan regions have been aggregated to form the Port Phillip region, and the Grampians and Barwon South-West regions have been aggregated to form the South West region. There are five regions. Aligned to Road Network - Vicmap Transport.

This version of the areas of the cultural heritage sensitivity dataset (ACHS) does not contain any attribute information. This dataset contains a spatial representation of "Areas of Cultural Heritage Sensitivity" as specified in Division 3, Part 2 of the Aboriginal Heritage Regulations 2018. Areas of cultural heritage sensitivity are areas that are either known to contain, or are likely to contain Aboriginal cultural heritage places and objects. These areas, which include various landforms within Victoria, are defined in the Aboriginal Heritage Regulations 2018. This polygon dataset is a representation of those areas as defined in the Regulations. The polygon features within the dataset have been derived from several sources, including geological and hydrological data. Note: This dataset is based on the best available information and should be used in conjunction the information contained in Division 3, Part 2 of the Aboriginal Heritage Regulations 2018. This data is under active revision to improve the representation as better quality source data becomes available.

Public land polygons derived from LCC recommendations. This layer contains the line and polygon features depicting the Land Conservation Council (LCC) Final Recommendations as per the 1988 Statewide Assessment published map at 1:500 000. The Mallee Study Area was subsequently updated in 1991.

The Victorian Coastal Cliff Assessment - Instability Areas (ASCCIE) is a digital dataset consisting of multiple spatial layer outputs from modelled erosion scenarios. The dataset is recommended for use at the statewide / regional scale along the Victorian coastline. Application of the data should be guided by the accompanying Victorian Coastal Cliff Assessment technical reports and expert advice. The product is not suitable for individual property scale assessments. Consolidated shorelines, which include soil and rock cliffs, are not able to rebuild following periods of erosion but rather are subject to a one-way process of degradation. ASCCIEs typically have two components: • Toe Erosion A gradual retreat of the cliff toe caused by weathering, marine and bio-erosion processes. This retreat will be affected by global process such as sea level rise and potentially increased soil moisture. Future cliff toe position based on historical erosion rates with a factor applied to allow for the effect of future sea level rise. • Cliff Instability Episodic instability events are predominately due to a change in loading or material properties of the cliff or yielding along a geological structure. In soft cliffs, instability causes the cliff slope to flatten to a slope under which it is “stable” (geo-mechanically). Soil cliff slope instabilities are influenced by processes that erode and destabilise the cliff toe, including marine processes, weathering and biological erosion or change the stress within the cliff slope. Most of the hard cliffs are stable at very steep angles. Instability events may range from small-scale instabilities (block or rock falls) or discontinuities, to cliff slope instability cause by large-scale and deep-seated mass movement. The latter mode of failure in hard cliffs is rare. The product is an update to the Victorian Coastal Cliff Assessment, Stage 1. Included datasets for Stage 2a supersede the Stage 1 outputs. The Stage 2a project report should be read in conjunction with the Stage 1 report. Application of the data should be guided by the accompanying "Victorian Coastal Cliff Assessment, Stage 2a technical report" (Tonkin & Taylor 2025) read in conjunction with the Stage 1 technical report, combined with appropriate expert advice.

Potential Groundwater Dependent Ecosystems (GDE) are ecosystems identified within the landscape as likely to be at least partly dependent on groundwater. State-wide screening analysis was performed to identify locations of potential terrestrial GDEs, including wetland areas. The GDE mapping was developed utilising satellite remote sensing data, geological data and groundwater monitoring data in a GIS overlay model. Validation of the model through field assessment has not been performed. The method has been applied for all of Victoria and is the first step in identifying potential groundwater dependent ecosystems that may be threatened by activities such as drainage and groundwater pumping. The dataset specifically covers the Port Phillip and Westernport Catchment Management Authority (CMA) area. The method used in this research is based upon the characteristics of a potential GDE containing area as one that: 1. Has access to groundwater. By definition a GDE must have access to groundwater. For GDE occurrences associated with wetlands and river systems the water table will be at surface with a zone of capillary extension. In the case of terrestrial GDE's (outside of wetlands and river systems), these are dependent on the interaction between depth to water table and the rooting depth of the vegetation community. 2. Has summer (dry period) use of water. Due to the physics of root water uptake, GDEs will use groundwater when other sources are no longer available; this is generally in summer for the Victorian climate. The ability to use groundwater during dry periods creates a contrasting growth pattern with surrounding landscapes where growth has ceased. 3. Has consistent growth patterns, vegetation that uses water all year round will have perennial growth patterns. 4. Has growth patterns similar to verified GDEs. The current mapping does not indicate the degree of groundwater dependence, only locations in the landscape of potential groundwater dependent ecosystems. This dataset does not directly support interpretation of the amount of dependence or the amount of groundwater used by the regions highlighted within the maps. Further analysis and more detailed field based data collection are required to support this. The core data used in the modelling is largely circa 1995 to 2005. It is expected that the methodology used will over estimate the extent of terrestrial GDEs. There will be locations that appear from EvapoTranspiration (ET) data to fulfil the definition of a GDE (as defined by the mapping model) that may not be using groundwater. Two prominent examples are: 1. Riparian zones along sections of rivers and creeks that have deep water tables where the stream feeds the groundwater system and the riparian vegetation is able to access this water flow, as well as any bank storage contained in the valley alluvials. 2. Forested regions that are accessing large unsaturated regolith water stores. The terrestrial GDE layer polygons are classified based on the expected depth to groundwater (ie shallow <5 m or deep >5 m). Additional landscape attributes are also assigned to each mappnig polygon. In 2011-2012 a species tolerance model was developed by Arthur Rylah Institute, collaborating with DPI, to model landscapes with ability to support GDEs and to provide a relative measure of sensitivity of those ecosystems to changes in groundwater availability and quality. Rev 1 of the GDE mapping incorporates species tolerance model attributes for each potential GDE polygon and attributes for interpreted depth to groundwater. Separate datasets and associated metadata records have been created for GDE species tolerance.

GEDIS REFID: 29377; SOURCE MAP: G29377_geology_MtElizabeth_50k_200dpi_colour_repaired.tif; SUBJECT: SIMPSON, C.J., SIMS, J. & ORANSKAIA, A., 1996. Mt Elizabeth Area 1:50,000 geological map. Geological Survey of Victoria.

GEDIS REFID: 107269; SOURCE MAP: G107269_goldfield_Creswick_31k_600dpi_colour_master.tif; SUBJECT: KRAUSE, F.M., 1981. Creswick Goldfield, geological map, showing the locations of quartz reefs, auriferous leads and shafts. Parish of Creswick 1:31,680 (40 chains:1 inch) geological map. Plan No 587/G/1 (reissue).