We utilize the sea level fingerprint module - ISSM’s Solid Earth and Sea level Adjustment Workbench (ISSM-SESAW), developed by NASA/Jet Propulsion Laboratory (JPL), to provide high-resolution sea level fingerprints in response to future polar ice sheet mass changes in the 21st century under the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. We also explore the sensitivity of sea level fingerprints to different 1-D elastic Earth models and the spatial resolution at which mass change of polar ice sheets is resolved. Furthermore, sea level contributions by individual polar ice sheet basins in the 21st century are also estimated for some coastal cities of interest (e.g., Perth) in this research.

Voyage IN2019_V04 contributed an additional 29,000 kms2 of seafloor survey data to the Coral Sea knowledge base. From this new bathymetric data individual seamounts have been extracted and have been classified to the Geoscience Australia Geomorphology Classification Scheme. This dataset contains two layers representing the classification layers- 1) Surface (Plain, Slope, Escarpment) and 2) fine scale Geomorphology of the seamount for the Fregetta Seamount. Ongoing research with this survey data will provide new insights into the detailed geomorphic shape and spatial relationships between adjacent seabed features. This information will be released in future publications to show the potential of how the scale of such seafloor data can be used for predictive habitat modelling when analysed with the biological data overlays.

This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Synthesis Study - "National trends in coral species following heatwaves". For specific data outputs from this project, please see child records associated with this metadata. -------------------- This project engaged coral taxonomic experts to annotate existing Reef Life Survey (RLS) photoquadrats taken across northern Australia before and after major disturbances, to allow: • Quantification of the spatial and species-level responses of Australian corals to the 2016 and 2017 marine heatwave and mass bleaching events (and cyclones that occurred during this period). • Identification of the species most threatened by warming and cyclones, and species likely to respond best to restoration efforts. • Contribution to a coral-specific analysis to the next national State of the Environment report. Planned Outputs • Dataset on % cover of corals to highest taxonomic resolution possible from surveys around northern Australia before and after the 2016 mass bleaching event.

Survey FK200308 on the R/V Falkor undertook detailed mapping within two significant and biologically unexplored submarine canyons (Cape Range and Cloates Canyon) in the Gascoyne Marine Park. The Gascoyne Marine Park covers 81, 766 km2 adjacent to the Ningaloo Marine Park. The canyons form part of the habitat protection and multiple use zones of the marine park and are identified as Key Ecological Features. The canyons provide an important connection between the abyssal plain environments and the Commonwealth waters adjacent to Ningaloo Reef on the continental shelf. High productivity aided by upwelling through the canyons has been related to aggregations of whale sharks, manta rays, humpback whales, sea snakes, sharks, large predatory fish and seabirds. In addition, the hard canyon walls provide habitat for a range of sessile invertebrates, while the soft sediments on the canyon floor support a range of mobile invertebrates. The data from this survey will provide a comprehensive taxonomic survey to characterise the marine biodiversity of the canyons or to understand the distribution of canyon habitats in relation to the seabed morphology. Bathymetry and acoustic reflectance (backscatter) data were acquired in the survey region using a Kongsberg 30 kHz EM 302 deep water multi-beam echo sounder with a 1° array. An area of 11,250 km2 was surveyed along 4100 line kilometres within the Gascoyne Marine Park. In addition, 2495 line kilometres was surveyed along transits between Fremantle, Exmouth and Broome. Navigation and motion were recorded with an Applanix POSMV V5, while sound speed profiles were processed with the software Sound Speed Manager to correct acoustic data.

Interaction uncertainties between tidal energy devices and marine animals have the potential to disrupt the tidal energy industry as it advances. Best-practices for environmental impact assessments (EIAs) must be explored that are able to provide conclusive recommendations for mitigating environmental impact concerns of tidal energy developments. As the tidal energy industry is moving closer to commercial-scale array installations, the development of standardised EIAs would allow for potential impact concerns for the marine environment to be identified and minimised early in the site-development process. In an effort to help formulate a standardised EIA framework that addresses knowledge gaps in fish-current interactions at tidal energy candidate sites, this study investigated changes in fish aggregations in response to tidal currents at a tidal energy candidate site in Australia prior to turbine installation. Here, we present the dataset collected for this study that includes tidal current information from Acoustic Doppler Current Profiler (ADCP) measurements, volume backscattering strength from a four-frequency biological echosounder (Acoustic Zooplankton and Fish Profiler – AZFP) as an indicator for fish biomass, and fish aggregation metrics calculated from volume backscatter in post-processing. ADCP and AZFP were installed on a bottom-mounted mooring and engaged in a concurrent sampling plan for ~2.5 months from December 2018 to February 2019. The mooring was deployed in the Banks Strait, a tidal energy candidate site located in the northeast of Tasmania, Australia, at a location favourable for tidal turbine installations considering current speed, depth, substrate, sediment type and proximity to shore. The ADCP dataset includes current velocity and direction measurements at a 1 m vertical and 1-sec time intervals. The raw AZFP dataset includes volume backscattering strength collected at 4-sec time intervals with a vertical resolution of 0.072 m in raw, and 0.1 m in pre-processed form. Fish aggregation metrics were derived in post-processing and are presented by the minute along with corresponding environmental conditions for current speed, shear, temperature, diel stage, and tidal stage compiled from both AZFP and ADCP datasets.

Ecosystem data was collected as part of an integrated study of the continental shelf over a 2 and a half year period between November 2015 and January 2018. Data were collected bi-monthly through the spring to autumn (November, January, March, May). Stations were situated perpendicular to shelf bathymetry, ranging in depth from ~50 m to 100 m near the edge of the shelf and were located between 5 km and 15 km from land; encompassing from south Storm Bay, past the southern tip of Bruny Island and into the Southern Ocean (south-east Tasmania, Australia). Data collected focused on each trophic level, characterizing the zooplankton community, fish schools and marine predators. The overarching aim of the study was to investigate the effects of long term warming, and a marine heatwave event on zooplankton dynamics in terms of community response variables and the flow-on effects of changing lower-trophic level dynamics for top predators.

The Australian Coastal Restoration Network (ACRN) database collates information about coastal restoration projects in eight different ecosystems across Australia and New Zealand: shellfish, macroalgae, seagrass, mangrove, saltmarsh, coastal wetland and coral environments. This record represents a static snapshot of the database made in March 2020. The ACRN website (https://www.acrn.org.au) may contain more recent updates to the database.

These files contain the metadata adopted and MATLAB code edited as well as visual plots generated in the Hongkun Honour's project. The data mainly includes the shipboard ADCP data and vertical cast type of Triaxus data collected from RV Investigator during the voyage IN2016V04 and IN2018T01 and satellite data (chlorophyll, sea level anomaly & sea surface temperature) collected from the IMOS website on the study region. The data was processed in MATLAB and then used to find visualization results, with the ultimate aim of exploring the potential of Triaxus in biogeochemistry.

Data for the project -Investigating the source of the high nitrate, low oxygen layer in the Leeuwin Current- is including in the file. The data include CTD data, ADCP data and Triaxus data from RV Investigator (Voyage IN2019_V03). Also the Sea Surface Height satellite data and CSIRO Atlas of Regional Seas (CARS) data are included as the supporting data. The MATLAB code including the code that calculate the rotated velocity and the transport of the EGC current in upper 300m including volume transport, salinity transport, heat transport and oxygen transport. The nitrate data from Triaxus is uncompleted and will be upload later with the code for calculating the nitrate transport.