This layer contains information on marine vessel route hotspots for the majority of Victoria's open coast and embayments. Data for this layer is collected through live vessel positions from Australian Maritime Safety Authority (AMSA), recorded from vessel monitoring point data. This is then split up into vessel type categories to distinguish different uses in the marine environment.

This layer contains divisions of Victorian biounits as classified to CBICs Level 4 biotope complexes as polygons. At this level of the hierarchy, biotopes are grouped into sets with similar physical and biological characteristics.

Victorian State-wide dataset containing features of interest including boating clubs, camping grounds, caravan parks, historic sites, lifesaving clubs and lookouts as identified by the Victorian Regional Coastal Boards and reviewed as part of the Future Coasts SECAP project.

This layer contains regional biogeographical divisions of Victorian State waters as classified to CBICs Level 6 biogeographical units (biounits). Each biounit is characterised by one or more distinct physiographic settings, ecosystem processes and biotope distributions. These regions form a basis for ecological studies, natural resource management and ecological modelling.

Victorian state-wide dataset containing all ocean beach adminstration information including Committees of Management (COM) and Local Government Authorities (LGA) names, nearest town, tenure id and parcel spi. Dataset has been created using the Australian Beach Safety and Management Program (ABSAMP) beach location data combined with Vicmap Property Parcel Polygons (PARCEL_MP) and the DELWP owned land management text database

Dataset containing boating area precincts identified by Victorian Regional Coastal Boards in their latest Boating Coastal Action Plans. The precincts are represented as a line based on VMSH_Framework.

Victorian state-wide dataset containing facilities at all ocean beaches, in addition to assessing the nature and level of physical beach hazards at each beach, and thereby the level of public risk and safety. Facilities are indicated as present (true= T) or absent (false= F) and include bbq, picnic areas, phone, shops, showers, swimming pool, toilets and water. Beach safety is indicated by a hazard rating score (0-10) based on the physical characteristics of the beach that could impact on public swimming safety. The beach name is also denoted. The data outputs were identified in the Australian Beach Safety and Management Program (ABSAMP) undertaken jointly by Surf Life Saving Australia (SLCA) and the Coastal Studies Unit (CSU) of the University of Sydney in late 1999.

Dataset containing recreational boating facilities including pier/jetty, boat ramp, marina, yacht club/motor boat club, multipurpose/safe haven each providing different services and functions. The features have been ranked by a hierachy delineated from Local, District and Regional and led to the development of the Boating Services Level Index (BSLI). The dataset was created for the recreational boating facilities framework document in Febuary 2014 and the Central Coastal Board (CCB).

The Statewide Marine Habitat Map 2023 was developed by DEECA applying novel machine learning methods that model and predict habitat distributions as well as a mosaic of former mapping products (listed below). The Statewide map represents 24 marine and coastal habitats complexes at Level 3, Victoria's Combined Biotope Classification Scheme (CBiCS) described by Edmunds and Flynn (2015, 2018; 2021). The final map comprises of 83% its area from predictive modelling, with the remaining 17% of area from synthesised existing habitat maps. Predictive Model: A total of 32,998 habitat survey sites (ground-truth records) were used within the model, along with 28 environmental properties mapped at a 10m resolution (including a Digital Elevation Model DEM (VCDEM2021), computed benthic terrain characteristics (toolkit: Walbridge et al. 2018), Chlorophyl a (IMOS 2000a), Sea Surface Temperature SST (IMOS 2000a), Net Primary Productivity NPP (IMOS 2000b), Sediments (Geoscience Australia; Li et al. 2011a,b,c), waves (Liu et al. 2022). To predict the distribution of habitats across Victorian waters the powerful and flexible Random Forest machine learning algorithm was applied. Random Forest is an ensemble model using bagging as the ensemble method and decision trees as the individual model (Breiman 2001). The modelling produced an accuracy (Out-of-bag) of 89%. Map Synthesis: A mosaic of former mapping products that provided higher resolution mapping by aerial imagery, field observations and high-resolution modelling were integrated into the map, classifying habitat according to the CBICS habitat classification scheme at level 3. Assessed and synthesised maps and citations include: Corangamite Coast Marine Habitat December 2009 (ANZVI0803005530); East Gippsland Marine Habitats November 2009 (ANZVI0803003974); Discovery Bay Marine National Park habitat mapping 2006 (ANZVI0803004053); Portland Coastal Habitats (ANZVI0803004236) ; Corner Inlet Mapping Marine National Park North and South 2004 (ANZVI0803004051) ; Merri Marine Sanctuary 2004 (ANZVI0803004058); Western Port Bay Biotope Mapping Fathom Pacific (2016) CBiCS-Mapping. Central Victoria Coastal Habitats (ANZVI0803004135); Mallacoota Coastal Habitats (ANZVI0803004235); Western Port Rhodolite (ANZVI0803005430) & Western Port Biogenic Reefs; Port Phillip Bay Habitat Map 2021 (ANZVI0803009278); Saltmarsh and Mangrove Habitats; DELWP 2021 Statewide Marine Habitat Map 2021 (ANZVI0803009286) and relevant citations: Ball (1999), Ball et al. (2010). Ball & Blake (2007a), Ball & Blake (2007b), Blake and Ball (2001), Blake et al. (2013), Boon et al. (2011), Cohen et al (2000), Deakin Marine Mapping (Zavalas, R et al. 2018), DELWP (1994), Edmunds &Flynn (2015), Fathom Pacific (2020), Ford et al (2016), GeoHab Victoria Estuaries Geomorphology (2010), Ierodiaconou 2007, Ierodiaconou et al. 2018, Mazor et al. (2021), Monk et al. (2011), Poore (1992), Roob and Ball (1997), Victoria Department of Transport (1999), Young et al. 2022, Zavalas, R et al. 2018. Applications: The Statewide Marine Habitat Map 2023 provides broad habitat complexes across the state and provides greater knowledge of the ecological diversity across Victoria¿s waters. The map should be used at broad scales of >25 m, and where information of larger habitat complexes is needed. This work can support the management of large-scale habitats, their condition, marine spatial planning, strategic management prospect (SMP), FeAST risk assessments, and other broad scale applications to support management decisions across Victoria. The habitat model and resulting map provides an updated broad-scale habitat map across Victoria¿s state waters and provides a baseline for future data to build upon. Full Methodology: Citation: Mazor, T., Watermeyer, K., Hobley, T., Grinter, V., Holden, R., MacDonald, K. and Ferns, L. (2023). Statewide Marine Habitat Map. Habitat Complex Modelling Method (CBiCS Level 3). The State of

Key Biodiversity Areas dataset shows Australian places of global significance for the conservation of birds and other wildlife which must meet strict, international scientific criteria. This dataset has been updated as of March 2022 to ensure all boundaries are clean of overlaps and slivers and all Key Biodiversity Areas are displayed as single features rather than multi-part polygons. There are 334 KBAs in this dataset. Visit https://www.birdlife.org.au/projects/KBA for more info.