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]

This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Assessing the vulnerability of southern right whale and blue whale populations to disturbance from windfarm developments". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Offshore renewable energy (ORE) development is expanding in Australian waters. This includes regions that overlap with feeding and breeding areas for Endangered blue whales and southern right whales. Underwater noise from construction and operation of offshore wind infrastructure may affect whale behaviour, energetics and reproduction, requiring assessment of potential population-level consequences under the EPBC Act. This desktop study used available data and expert elicitation to develop interim Population Consequences of Disturbance (iPCoD) models for blue whales and southern right whales in relation to one or multiple offshore wind developments off Portland and Gippsland, Victoria. The modelling followed a decision pathway that considered spatial and temporal overlap with whale populations, the proportion of populations affected, life stages and reproductive phases exposed, and the likelihood of repeated disturbance. The models were used to assess the timing, location and potential cumulative effects of underwater noise at a regional scale. Outputs identified high-risk species and scenarios, priority data gaps, research needs, and mitigation requirements needed to reduce the likelihood of compromised population viability. The iPCoD framework can be updated as new data become available and integrated with other modelling approaches. The framework is relevant for risk assessment against other ocean-based activities such as seismic surveys oil and gas infrastructure, and carbon capture and storage. The project outputs support offshore wind assessment and regulation, species recovery planning, and development of underwater noise guidance. Outputs • iPCoD model outputs [dataset] • Final Project Report [written]

This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Enhancing monitoring approaches to evaluate the abundance, life history and critical habitats of the endangered Australian sea lion". For specific data outputs from this project, please see child records associated with this metadata. -------------------- The Australian sea lion (Neophoca cinerea) is Australia’s only endemic pinniped and is listed as Endangered under the EPBC Act. Populations have declined by more than 60% over the past 40 years and are vulnerable to threats including fisheries bycatch, disease, pollution, marine debris entanglement and climate change. Improving knowledge of abundance, demography and critical habitat use is essential for evaluating threats and guiding recovery actions, but is difficult due to the species’ breeding biology, longevity, seafloor foraging behaviour and use of remote breeding sites. This project developed and applied cost-effective methods to improve monitoring of Australian sea lion populations, particularly in under-surveyed regions exposed to anthropogenic pressures. It included four linked components: (1) helicopter and remote-camera surveys of breeding sites in the Recherche Archipelago; (2) drone surveys of selected breeding and haul-out sites in Western Australia and South Australia; (3) processing and analysis of long-term demographic data from the microchipped Seal Bay population; and (4) continued deployment of underwater cameras to identify habitat use, foraging behaviour and potential risks. The project was co-designed with Indigenous partners, including Yalata Anangu Aboriginal Corporation, Far West Coast Aboriginal Corporation and Esperance Tjaltjraak Native Title Aboriginal Corporation. Indigenous partners contributed to delivery of project components, including drone-based monitoring and field activities, supporting Indigenous leadership in the use of new technologies for sea lion monitoring and Healthy Country management. Outputs included updated abundance and breeding-site information, validated drone survey methods, improved workflows for demographic analysis, and additional animal-borne camera data on critical habitats. These data and methods support implementation of the Australian Sea Lion Recovery Plan, long-term state government monitoring, assessment of cumulative impacts and recovery actions, and conservation planning linked to Sea Country values. Outputs • Qualitative and qualitative spatial assessments of breeding sites from helicopter surveys in Recherche Archipelago [dataset] • Drone-collected photogrammetry, FLIR, thermal imaging and LiDAR data [dataset] • Demographic results from analysis of Seal Bay microchipping program [dataset] • Tracking data from sea lion-deployed tags: location, depth, time, temperature, light, acceleration [dataset] • Timestamped video footage from sea lion-deployed cameras [dataset] • Short non-technical summaries to distil the key findings and take-home messages [written] • 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 record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Grey Nurse Shark aggregations". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Grey nurse sharks (Carcharias taurus) are protected in Australian Commonwealth waters. Under the EPBC Act, the eastern Australian population is listed as Critically Endangered, while the western Australian population is listed as Vulnerable. The species aggregates at particular sites along migration routes, but existing definitions and criteria for “key aggregation sites” require refinement to support consistent assessment across eastern and western Australia. This project collated existing information on recognised grey nurse shark aggregation sites and potential new sites where sharks have been observed to gather. It reviewed occupancy patterns, existing survey evidence and western population data to refine the definition of a key aggregation site and develop criteria for assessing whether sites should be listed, delisted or prioritised for further investigation. Field and data activities focused on areas where information was limited or where potential new aggregation sites had been identified. These included surveys in Victorian waters near Corner Inlet using ROV and eDNA methods in partnership with Gunaikurnai Land and Waters Aboriginal Corporation; community engagement with dive, fishing and freediving groups to improve reporting of observations; an initial BRUV survey of a reef system in Commonwealth waters in Hunter Marine Park; expanded acoustic receiver coverage at Barwon Banks in Queensland; and review of potential aggregation sites in Western Australia. The project outputs provided Commonwealth and state management agencies with a clearer, more defensible basis for identifying and assessing grey nurse shark aggregation sites. The resulting information supported consistent evaluation of existing and potential sites, prioritisation of future surveys, and improved conservation planning for both eastern and western grey nurse shark populations. Outputs • Spatial information on key Grey Nurse Shark aggregation sites [dataset] • Final project report [written]