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 "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 "Environmental DNA for measuring offshore marine biodiversity: what can DNA in water collected from the RV Investigator tell us?". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Environmental DNA (eDNA) in seawater provides a non-extractive way to characterise marine biodiversity from genetic material shed by organisms, from microbes and plankton to invertebrates and fishes. It is an emerging tool for marine ecosystem monitoring, particularly in offshore areas where conventional sampling can be difficult, costly or environmentally disruptive. This project collected and analysed more than 500 eDNA samples from 91 sites during the South-east Australian Marine Ecosystem Survey (SEA-MES) on RV Investigator. Samples were collected along the continental shelf between Tasmania and southern New South Wales, including sites within the South-east Marine Parks Network, providing the first comprehensive eDNA baseline for this region. The project tested active eDNA sampling from CTD water samples and passive eDNA sampling from a deep-towed camera system. DNA metabarcoding and Tree of Life metabarcoding were used to identify biodiversity patterns across the water column and near the seafloor. Results were compared with conventional survey methods, including fish trawls, plankton sampling and deep-towed camera deployments, to assess how eDNA complements existing monitoring approaches. The dataset revealed clear biodiversity patterns by depth, latitude, and water-column position, including higher fish diversity near the seafloor than at the surface. Comparisons with trawl and plankton data showed that eDNA provided complementary biodiversity information, supporting its use alongside existing survey methods and highlighting its value as part of integrated monitoring programs. The outputs provide a new biodiversity baseline for south-eastern Australian waters, and practical guidance on future application of eDNA techniques for offshore monitoring of marine parks and fisheries. Outputs • eDNA sequences with associated collection metadata (x2 voyages x50 sites) [dataset] • Final project report [written]

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]

An indicative map of the various benthic (sea floor) habitats that occur in the Great Sandy Marine Park (GSMP) was developed in 2019 to support a comprehensive review of the GSMP zoning plan and day to day management of the marine park. GSMP is a Queensland state marine park that extends from Baffle Creek in the north to Double Island Point in the south and includes the tidal waters of Hervey Bay, the Great Sandy Strait and Tin Can Bay and waters seaward to three nautical miles. The habitat map was the outcome of a benthic habitat mapping project in the initial stages of the zoning plan review, that applied the Queensland intertidal and subtidal ecosystem classification scheme to identify and map the marine park’s habitat types. The marine park’s habitat types were derived from “The intertidal and subtidal habitat mapping for Central Queensland” dataset which provides seascape scale ecosystem mapping for Central Queensland state waters extending from the mouth of the Fitzroy River down to Double Island Point. Each ecosystem type is based on information about eight biophysical attributes that drive ecosystem type: benthic depth, inundation, energy magnitude, consolidation, substrate composition, sediment texture, terrain morphology and structural macrobiota. For further information about this dataset see the Wetlandinfo website https://wetlandinfo.des.qld.gov.au/wetlands/ An expert panel was convened to assist GSMP project staff in identifying a broad list of ecological attributes or characteristics and the different combinations of these, that would most likely determine the types of benthic habitats likely to occur in GSMP. These were further refined to identify marine park habitat types specifically for marine park management. The final marine park typology and map of 23 habitat types, was refined throughout the zoning plan review process due to newly available data, expert input and local knowledge. View the original metadata record at https://qldspatial.information.qld.gov.au/catalogue/custom/viewMetadataDetails.page?uuid=%7BCA73B01A-1391-4701-98CB-B72E5FB54845%7D

This record provides an overview of the NESP Marine and Coastal Hub Research Plan 2024 project "De-risking nature repair activities in Australian coastal and marine ecosystems". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Coastal and marine ecosystems provide shoreline protection, water quality improvement, biodiversity habitat, tourism, carbon storage, and cultural values. In Australia, many of these systems have been degraded, while national and international commitments are increasing the need to scale up restoration and nature-based solutions (“nature repair”) in a coordinated and evidence-based way. This project supported coastal and marine nature repair at scales relevant to national biodiversity and climate commitments by updating national stocktakes, compiling an evidence base, and scoping a coordinated framework for future investment and delivery. Existing databases, including the Australian Coastal Restoration Network and Living Shorelines Australia, were updated to improve information on restoration location, habitat type, intervention approach and outcomes. Evidence on effectiveness, risks and success measures was compiled across ecological, engineering, environmental, legal/governance, socio-economic, Indigenous and regional case-study themes. Engagement with DCCEEW, state governments, non-profit agencies, Indigenous communities, researchers and practitioners informed a forward-looking framework covering objectives, site and action selection, risks and liabilities, decision-support tools, technical guidance, monitoring and evaluation, and Indigenous co-design and leadership. The project outputs provide a framework to assist managers, funders and practitioners to understand where restoration has occurred, what approaches have been used, what risks need to be managed, and what evidence is available to guide future investment. This supports more coordinated planning and delivery of coastal and marine nature repair, including activities linked to blue carbon, biodiversity protection, and emerging nature repair markets. Outputs • Updates to Australian Coastal Restoration Network database, and the Living Shorelines Australia database [dataset] • Draft national framework for coordinated nature repair [written] • Final project report [written]