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 project "Mapping critical Australian sea lion habitat to assess ecological value and risks to population recovery". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Australian sea lion populations have declined by more than 60% over the past four decades. Abundance and trends vary markedly across the species range, suggesting that localised risk profiles from threats - such as bycatch, marine pollution, and habitat degradation - vary at small spatial scales. Fine scale variation in habitat use is thought to underpin these differences, yet knowledge about Australian sea lion's dependency on key habitats and their vulnerability to human impacts is limited. This project deployed compact animal-borne cameras with GPS and motion sensors on eight adult female sea lions at two key colonies: Seal Bay (Southern Kangaroo Island Marine Park) and Olive Island (Western Eyre Marine Park). The devices recorded nearly 80 hours of footage over 560 km of seabed, identifying six distinct benthic habitat types, including previously unmapped rocky reefs and kelp forests. The footage was used to develop fine-scale habitat maps using machine learning models, providing a valuable baseline for assessing ecological value, foraging intensity, and the effectiveness of protected areas. This innovative approach complements traditional seafloor mapping and offers a scalable, cost-effective method for locating and monitoring critical habitats for endangered marine species. The results directly inform recovery planning, fisheries management, marine park design, and the identification of Biologically Important Areas. Ongoing camera deployments at Seal Bay and new sites along the western Eyre Peninsula will improve understanding of sea lion colony-specific behaviours and contribute to long-term monitoring of habitat change, diet, and emerging threats. Outputs • Tracking data from sea lion-deployed tags: location, depth, time, temperature, light, acceleration [dataset] • Timestamped video footage from sea lion-deployed cameras [dataset] • Final project report [written]