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". 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). Their distribution and Biologically Important Areas (BIAs) overlap with regions proposed for offshore renewable energy development in western and south-eastern Australia, creating a need to assess potential impacts alongside existing pressures such as shipping, oil and gas activity, vessel strike, underwater noise and habitat disturbance. This project mapped the distribution and core foraging and migratory areas of eastern Indian Ocean pygmy blue whales by combining satellite tracking data with auxiliary information from aerial surveys, marine mammal observer records, and existing habitat suitability models. These spatial products were overlaid with proposed offshore renewable energy areas, BIAs, Australian Marine Park boundaries, and spatial pressures layers. A cumulative impact framework was used to identify areas of higher risk and potential lower-impact reference sites. The project outputs support regulators, proponents and government agencies in assessing and mitigating potential offshore renewable energy impacts on pygmy blue whales. The results contribute to cumulative risk assessment, blue whale recovery planning, future BIA review, monitoring design, and prioritisation of future research and data collection. 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 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.

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.

This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "Exploring the status of Western Australia’s sea snakes". For specific data outputs from this project, please see child records associated with this metadata. -------------------- All sea snakes are listed marine species under the EPBC Act and three Australian endemic species are listed as Critically Endangered or Endangered, and as such are a national conservation priority. This project examines existing data from the northwest marine region to define sea snake relative abundance and distribution patterns, including within CMRs, to refine species status. Synthesis of existing data will be useful to DOE, DPaW, Parks Australia and others. This analysis will help establish baseline data, guide future research, define abundance in and use of CMRs and refine EPBC listings and recovery plans. Planned Outputs • A report outlining the presence and relative abundance of sea snakes in northwestern Australia with a focus on reef and shoal habitats including identification of BIAs or key habitats where possible. Research and management priorities will be highlighted. • Presentation of results to key stakeholders and end users • Presentation of recommendations at scientific conferences • Communication of findings to the broader community via social media

This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "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

The offshore renewable energy (ORE) sector is rapidly developing in Australian waters to support national carbon emission targets. However, new marine infrastructure can introduce additional risks to threatened species. The eastern Indian Ocean pygmy blue whale (Balaenoptera musculus brevicauda) was identified by the Australian Government as a priority species for assessing potential ORE impacts. This subspecies ranges from the Subtropical Convergence (~40-45°S) to Southeast Asia (~2°S), with much of its documented distribution occurring within Australia’s Exclusive Economic Zone. Its distribution overlaps with multiple anthropogenic activities, indicating likely exposure to existing and emerging pressures. This dataset compiled available spatial information to quantify the full distribution and foraging distribution of pygmy blue whales, and to assess exposure to individual and cumulative threats across the species’ range. The threat exposure analysis incorporated expert elicitation to estimate the probability of exposure arising from spatial overlap between pygmy blue whale distribution and anthropogenic pressures, with particular focus on areas undergoing ORE development. The cumulative exposure assessment indicated relatively low exposure of pygmy blue whales to existing threats within Australian waters, including within declared ORE areas. However, several data and knowledge gaps were identified that should be addressed before further ORE development. The resulting spatial layers provide a baseline for impact assessment by industry and regulators, and support decision-making for sustainable ORE development in Australian waters.

This record provides an overview of the scope and research output of the NESP Marine Biodiversity Hub project "Prioritisation of research and management needs for Australian elasmobranch species". For specific data outputs from this project, please see child records associated with this metadata. -------------------- NERP successfully demonstrated new ways to get the raw ingredients for evidence-based management of previously intractable species: abundance, survival, connectivity. But there is still a need to explore/demonstrate how management can use these tools (e.g. adaptive control of bycatch, or deciding if more monitoring is needed), and which species are suitable. This project comprises (i) a workshop to re-assess Australian shark and ray species in terms of degree-of-concern, state-of-knowledge-for-management, and feasibility-of-filling-knowledge-gaps; and (ii) a desk study exemplifying one pathway to management use. In 2016, we will work with DoE to prioritize species for research and explore more management pathways. Planned Outputs • A report outlining workshop findings, recommendations relative to data gaps and effective research approaches to address these gaps. • A paper demonstrating how management can use new methods to examine adaptive monitoring of bycatch to assess impact • Presentation of results to key stakeholders and end users

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 the NESP Marine Biodiversity Hub project "National data collation, synthesis and visualisation to support sustainable use, management and monitoring of marine assets". 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.