The goal of the program was developing comprehensive inventories and maps of the distribution and abundance of physical and biological seabed habitats, seagrasses and benthic assemblages to provide baseline environmental mapping and a description of ecological patterns. The benthic habitat mapping was performed by utilising R/Python and Maxent software within the species distribution modelling domain. We correlated the probability of occurrence of individual benthic habitat classes with the environmental predictors developed form the multibeam hydroacoustic dataset. The data is presented as a maximum likelihood map incorporating all five prediction classes: (1- Macroalgae; 2- Filter Feeders; 3- Seagrass; 4- Hard Corals; 5- Bare seafloor). An updated version of this data are available (2022) Revised predictive benthic habitat map for Darwin Harbour. Report prepared for Department of Environment, Parks and Water Security. Australian Institute of Marine Science, Darwin, 127 pp.

This project updates the 2019 predictive benthic habitat map for this region, extending past the subtidal zone of the harbour to include intertidal habitats. The project worked with collaborators to synthesise existing data sets for inclusion in benthic habitat mapping process. Hydrodynamic model variables were updated and new digital elevation data included to provide a more accurate representation of the bed shear stress, waves and current. LiDAR surveys were conducted to fill in the gap between the IX bathymetric survey and the high tide water mark. The LiDAR survey data extended the existing bathymetry data. A total of 30 towed video transects were conducted in areas predicted to have a high probability of benthic fauna occurrence based on the existing predictive model. The benthic habitat model was updated to include NTG historical data, new towed video data, hydrodynamic and light data.

This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Potential impacts of offshore wind developments on eastern Indian Ocean pygmy blue whales (Balaenoptera musculus brevicauda)". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Pygmy blue whales (Balaenoptera musculus brevicauda) are listed as Endangered under the Environment Protection and Biodiversity Conservation Act (EPBC 1999), and their distribution and Biologically Important Areas (BIAs) overlap with areas proposed for offshore renewable energy (ORE) development in Western Australia, South Australia, Victoria, and potentially NSW. This project will quantify the distribution and location of areas of residency (e.g., foraging) for eastern Indian Ocean pygmy blue whales, where these overlap with proposed ORE developments, and assess the potential impacts of these developments to the species in addition to existing impacts from other anthropogenic activities. The outputs from this project will assist government, regulators, proponents, and other stakeholders in the assessment and mitigation of ORE projects to this threatened species, and will identify future research and associated data collection needs. Outputs • Spatial layers quantifying the relative distribution including migratory corridors and foraging areas across the known eastern Indian Ocean pygmy blue whale range [dataset] • Spatial layers of habitat suitability distribution [dataset] • Spatial layers for human activities identified as key pressures in this study [dataset] • Spatial layers of cumulative impact score across the species' range including potential threats from ORE and existing threats from other industries [dataset] • Final project report [written]

The offshore renewable energy (ORE) sector is rapidly developing in Australian waters to meet the country’s carbon emission targets. However, new developments in the marine environment pose added risk to threatened species. The Eastern Indian Ocean pygmy blue whale (Balaenoptera musculus brevicauda) was identified as a key species by the Australian Government for understanding the potential impacts of ORE developments. This subspecies ranges from the Subtropical Convergence (~40-45°S) to Southeast Asia (~2°S) with most of its documented distribution within the Australia Exclusive Economic Zone. Pygmy blue whale distribution overlaps various anthropogenic activities across their range, which suggests that some level of exposure to pressure and threats is likely. We compiled all available spatial data to quantify the full and foraging distribution of pygmy blue whales and quantified exposure to individual and cumulative threats across the species distribution. Threat exposure analysis included expert elicitation to gather expert input on the probability of exposure to a threat occurring from the spatial overlap between pygmy blue whale distribution and anthropogenic pressures, with a focus on areas undergoing ORE development. The cumulative exposure assessment indicated a relatively low level of exposure of pygmy blue whales to existing threats within Australian waters, particularly those that occur within declared ORE areas. However, several gaps in data and knowledge were identified that need to be addressed prior to development of the ORE industry. Our results provide a robust baseline that can be directly incorporated by industry and regulators as spatial layers into impact assessments. The study helps inform Government, and proponents of wind farms on the current state of knowledge of pygmy blue whale distribution and exposure to threats in Australian waters for use in decision-making, helping facilitate the sustainable development of the ORE industry in Australia.

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project B1 - "Road testing decision support tools via case study applications". No data outputs are expected for this project. -------------------- This project will deploy advances in decision-support to assist Commonwealth Marine Reserve managers progress the implementation of evidence-based adaptive management throughout the reserve estate. Two case studies will treat selected decision problems in detail. Specifically: • The identification of decision thresholds that may trigger a change in management, framed within Parks Australia’s performance monitoring template. • The prioritisation of information acquisition through research and monitoring. The two case studies involve coherent integration of ecological models, social and organisational value judgements, and economic analysis. Planned Outputs • Progress reports describing interim outcomes of the (a) decision thresholds and (b) research and monitoring prioritisation case studies. • At least two publications in high impact peer-reviewed journals. • Two final reports describing outcomes of the (a) decision thresholds and (b) research and monitoring prioritisation case studies. • At least two publications in high impact peer-reviewed journals. • Training and associated materials

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project A5 - "Defining connectivity of Australia’s hammerhead sharks". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Hammerhead sharks are the focus of conservation management through recent listing on Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) and Convention on the Conservation of Migratory Species (CMS). The clear data gap for Department of the Environment and Energy (DoEE) and Great Barrier Reef Marine Park Authority (GBRMPA) is connectivity of populations across national and international jurisdictions. This project applies genetic and satellite telemetry to examine the movement and connectivity of hammerhead sharks. This will help determine use of Australian Marine Parks (AMPs) and the Great Barrier Reef Marine Park (GBRMP), and define Biologically Important Areas (BIAs) where possible. These data will be assimilated with current research to provide a more comprehensive understanding of the status of hammerhead shark populations to inform species listing and assist management and conservation policies at national and international levels. Planned Outputs • A report outlining the results of genetic and movement analysis of hammerhead shark populations in northern Australia, Indonesia and Papua New Guinea including identification of BIAs (aggregation sites) and use of CMRs where possible; revised conceptual models of stock structure and species status assessments; and a summary of Indigenous knowledge and traditional use of hammerhead sharks. • Presentation of results to key stakeholders and end users • Policy Brief (Research Summary for Managers) that describes project outcomes • Manuscripts for scientific journals outlining the results of project components (eg, genetics, movement, Indigenous use and knowledge transfer) • Presentation of recommendations at scientific conferences • Communication of findings to the broader community via social media

Google Earth KMZ files of hammerhead sharks tagged with Wildlife Computers miniPAT archival tags and SPOT6 tags. Files of animals tagged with MiniPAT tags include an MELE polygon, which is the 'Maximum extent of location estimates', that is, a polygon enclosing all position estimates at the maximum error level (100 km). Collectively, movements are restricted within state waters with no hammerheads moving across state or International boundaries.

CSV files of location data (position estimates) for hammerhead sharks tagged with Wildlife Computers miniPAT archival tags and SPOT6 tags. Note that miniPAT data estimates may be up to 100 km (Kevin Lay, Wildlife computers pers comm). Location estimates from archival miniPAT tags also need to be considered against ARGOS location classes (see http://www.argos-system.org/manual/3-location/34_location_classes.htm). Collectively, movements are restricted within state waters with no hammerheads moving across state or International boundaries.

It is recognised that Indigenous communities are likely to be impacted by Offshore Renewable Energy (ORE) wind farm developments. This work conducted a desktop study to identify Traditional Owner interests in areas adjacent to current ORE development areas. The purpose of the work was to gauge the extent of existing knowledge on cultural values and list appropriate avenues for future engagement with Traditional Owners to better understand the potential impact of ORE developments. This included identifying existing Sea Country plans for these communities, identifying existing information on cultural values, investigating Indigenous Cultural Intellectual Property, and further notes on preferred methods of engagement for these Indigenous communities potentially impacted by ORE developments. This raw spreadsheet of compiled information is withheld due to cultural sensitivities, but a synthesis of information is available in the Project 3.3 final report: see sections 4.8, 5.8, 6.8, 7.8 & 8.8 (https://www.nespmarinecoastal.edu.au/publication/guiding-research-and-best-practice-standards-for-the-sustainable-development-of-offshore-renewables-and-other-emerging-marine-industries-in-australia). Please contact the NESP Data Wrangler (Southern node) to discuss access to the raw spreadsheet of information: Emma.Flukes@utas.edu.au

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Project D1 - "Ecosystem understanding to support sustainable use, management and monitoring of marine assets in the North and North-west regions". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Effective management of marine assets requires an understanding of ecosystems and the processes that influence patterns of biodiversity. Focusing on the North and North-west regions, this project will leverage previous research to improve ecosystem understanding through a synthesis of existing information and by making testable predictions about the character and extent of conservation values, including for key ecological features (KEFs) and Commonwealth Marine Reserves. End-users and stakeholders will benefit from improved regional descriptions of marine ecosystems and uncertainty statements. In turn, this will inform prioritisation of future investments in monitoring marine ecosystems and State of the Environment reporting. Planned Outputs • A report on the synthesis (based on collations completed in 2015) of datasets and models for the North and NW identifying areas of greatest information coverage, gaps and themed to CMRs and KEFs in those regions. This report will also describe key spatial patterns in biodiversity (benthic and pelagic) and associations between benthic environments, fish and megafauna and large scale processes (e.g. oceanography). • Predictions and related products (maps) of the spatial distribution of biodiversity across the Oceanic Shoals CMR that encompasses benthic habitat, pelagic and demersal fish and megafauna communities. This will provide an example/test case at the National Prioritisation Workshop of how confidently predictive modelling can be used to describe assets and values in data poor areas to inform management and monitoring. • An updated conceptual model of ecosystem processes (benthic and pelagic) within the Oceanic Shoals CMR based on extension of modelling into pelagics. • A review of existing knowledge of the Ancient Coastline KEF. • A qualitative model of Glomar Shoal KEF (to be confirmed in consultation with DOE). • Communication products that capture activities and general interest stories of scientific results disseminated through NW Atlas social media links. • Upload of new relevant spatial data layers in NW Atlas for management and planning, and engagement with end users to maximize uptake of the NW Atlas products.