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 "Assessing the condition of natural values within priority temperate Australian Marine Parks to evaluate management effectiveness". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Australian Marine Parks cover almost half of Australia’s Exclusive Economic Zone and are managed using an adaptive management framework that requires robust ecological data to assess the condition and trend of natural values. Standardised long-term monitoring is critical for evaluating management effectiveness, understanding emerging pressures, and guiding future investment in park management. This project undertook ecological surveys across continental shelf habitats within Geographe, South-west Corner, Beagle, Hunter, and Kimberley Marine Parks. Surveys targeted priority long-term monitoring locations identified by Parks Australia, and were designed to collect comparable biological and ecological data relevant to management effectiveness assessment. Monitoring followed nationally standardised methods from the NESP Field Manuals for Marine Sampling to Monitor Australian Waters (https://doi.org/10.11636/9781925848755). Demersal fishes and sharks were surveyed using stereo-BRUVs and Remotely Operated Vehicles (ROVs); mobile invertebrates using traps; sessile invertebrates, seagrass and macroalgal communities using ROVs and drop cameras; and shallow/mesophotic coral reef ecosystems using ROVs supplemented with stereo-BRUVs. Survey outputs included new baseline and repeat observations of natural values, biodiversity, habitat condition, species size structure and coral bleaching impacts. The data support assessment of ecological condition and trends, evaluation of pressures including climate change and marine heatwaves, and development of monitoring indicators and reporting protocols linked to Parks Australia’s Management Effectiveness framework. The project collaborated with Traditional Owners and Indigenous ranger groups, including the Wadandi Ranger Program, Undalup Association and Karri Karrak Aboriginal Corporation, supporting two-way knowledge exchange and Indigenous participation in Sea Country monitoring and management. Outputs • Fish scoring data from BRUV, BOSS and ROV platforms [dataset] • Benthic imagery with annotations from ROV and drop camera platforms [dataset] • Lobster catch data [dataset] • Spatially-referenced highlight videos/imagery for communication purposes [dataset] • Final project report [written]

This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "Development of regional modelling and risk assessments to inform offshore renewable decision-making". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Australia is entering a phase of rapid offshore renewable energy (ORE) development, particularly in eastern and south-eastern waters. In considering the environmental acceptability of wind energy projects under the EPBC Act and Offshore Electricity Infrastructure framework, methods are required to evaluate cumulative risks to listed species, Australian Marine Parks and other natural values, including risks that arise from construction, operation, decommissioning, climate change and existing human pressures. This project used quantitative modelling approaches to assess potential impacts and cumulative risks associated with offshore renewable energy infrastructure in the Gippsland declared region. Twelve impact pathways identified by DCCEEW were used to structure problem formulation, risk hypotheses, modelling and assessment, with priority species and associated data needs identified in consultation with DCCEEW and NOPSEMA. The project applied two linked modelling approaches: species-specific population models and whole-of-ecosystem modelling. Population models estimated exposure and potential effects for priority threatened and migratory species across breeding, overwintering, foraging and migration areas, including risks such as collision, underwater noise, electromagnetic fields, vessel interactions, displacement and attraction. Whole-of-ecosystem modelling assessed broader ecological pathways, including hydrodynamics, sediment transport, benthic habitat effects, displacement of fishing activity, trophic effects around infrastructure, and cumulative interactions with climate change. Scenario analyses were used to explore how risks varied with the timing, number, location and configuration of offshore renewable energy developments. Model outputs were used to assess the cumulative risks to key species and natural values, and supported evaluation of mitigation options such as infrastructure placement, construction timing, operational constraints and post-assessment monitoring. The project outputs provide regulators and conservation managers with a modelling framework for assessing ORE-related cumulative impacts, identifying monitoring requirements, prioritising future research, and support evidence-based decisions on risk acceptability and management under relevant environmental legislation. Outputs • Species-specific population models for key threatened and migratory species for the Gippsland ORE region [spatial outputs] • Outputs from Whole of Ecosystem (WoE) modelling [risk-based impact spatial outputs] • Final project report [written]

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 "Environmental concentrations of emerging contaminants in coastal stormwater". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Contaminants of emerging concern (CECs) are natural and synthetic chemicals associated with pharmaceuticals, pesticides, industrial products, household items and microplastics that can affect environmental and human health. Australian wastewater and coastal water quality strategies have identified the need to better understand the concentrations, distribution and ecological impacts of these contaminants in marine environments, particularly in relation to wastewater discharges and stormwater inputs. This project extended NESP Marine and Coastal Hub Project 2.4 (https://www.nespmarinecoastal.edu.au/project/2-4) that investigated CECs in Australian coastal waters, by increasing the spatial and temporal resolution of sampling around wastewater outfalls and stormwater systems. Sampling focused on Gamay (NSW) and Glenelg (South Australia), enabling comparison between wastewater treatment plant effluent and coastal stormwater inputs across different seasons and environmental conditions. Field programs collected water and sediment samples to quantify contaminants including pharmaceuticals, antibiotics, PFAS, metals and microplastics. Associated environmental variables were also measured. Ecogenomic approaches were used to assess microbial assemblages and antimicrobial resistance to examine the potential ecological impacts of contaminant exposure. The project also incorporated targeted stormwater sampling associated with major flooding following Tropical Cyclone Alfred in south-east Queensland and northern New South Wales, providing a rare time-series dataset on contaminant mobilisation during extreme rainfall events. The project maintained and expanded the National Outfall Database (https://nod.org.au) through continued collection, collation and reporting of wastewater treatment plant discharge data, including outfall flows, pollutant loads and associated infrastructure information. Project outputs improve the evidence base needed to inform contaminant guideline development, wastewater and stormwater management. This includes coastal marine park and Ramsar wetland management, and future assessment of ecological risks associated with contaminants of emerging concern. Outputs • Updates to the National Outfall Database for 2022/23, including proposed new attributes for collection [dataset] • Data from Gamay (Botany Bay) NSW including (1) contaminant levels in water and sediments (2) physico-chemical data; (3) microbial community and genetics composition of water and sediments [dataset] • Timeseries (seasonal) CEC data from wastewater effluent at Glenelg beach area (SA) [dataset] • [Possible] High-resolution temporal CEC data from a stormwater event in St Vincents Gulf [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]