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multi-beam echosounders

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    The Marine Futures Project was designed to benchmark the current status of key Western Australian marine ecosystems, based on an improved understanding of the relationship between marine habitats, biodiversity and our use of these values. Approximately 1,500 km2 of seafloor were mapped using hydroacoustics (Reson 8101 Multibeam), and expected benthic habitats "ground-truthed" using towed video transects and baited remote underwater video systems. Both sources of information were then combined in a spatial predictive modelling framework to produce fine-scale habitat maps showing the extent of substrate types, biotic formations, etc. This project record provides linkage to each of metadata records describing data collected from the 9 study areas: Jurien Bay, Rottnest, Abrolhos Islands, Point Ann, Middle Island, Mount Gardner, Broke Inlet, and Geographe Bay​. To access the source datasets from each study site in their original (unaggregated) form, see child records linked to this parent record.

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    The Oceanic Shoals survey (SOL5650, GA survey 339) was conducted on the R.V. Solander in collaboration with Geoscience Australia, the Australian Institute of Marine Science (AIMS), University of Western Australia and the Museum and Art Gallery of the Northern Territory between 12 September - 5 October, 2012. This dataset comprises an interpreted geomorphic map. Interpreted local-scale geomorphic maps were produced for each survey area in the Oceanic Shoals Commonwealth Marine Reserve (CMR) using multibeam bathymetry and backscatter grids at 2 m resolution and bathymetric derivatives (e.g. slope; 1-m contours). Six geomorphic units; bank, depression, mound, plain, scarp and terrace were identified and mapped using definitions suitable for interpretation at the local scale (nominally 1:10 000). Maps and polygons were manual digitised in ArcGIS using the spatial analyst and 3D analyst toolboxes. For further information on the geomorphic mapping methods please refer to Appendix N of the post-survey report, published as Geoscience Australia Record 2013/38: Nichol, S.L., Howard, F.J.F., Kool, J., Stowar, M., Bouchet, P., Radke, L., Siwabessy, J., Przeslawski, R., Picard, K., Alvarez de Glasby, B., Colquhoun, J., Letessier, T. & Heyward, A. 2013. Oceanic Shoals Commonwealth Marine Reserve (Timor Sea) Biodiversity Survey: GA0339/SOL5650 Post Survey Report. Record 2013/38. Geoscience Australia: Canberra. (GEOCAT #76658).

  • IMAS/CSIRO undertook a multibeam mapping campaign in eastern and Southern Tasmania to map shelf waters of the Freycinet, Huon and Tasman Fracture Marine Parks and several reference areas for the Tasman Fracture Park, including waters around Pedra Brancha and South-west Cape. The dataset includes a post-processed transit along the mid-shelf i=of Western Tasmania. The dataset includes raw mutibeam outputs and post-processed data, including Caris Files, xyz data and geotiffs. A data report for this has been produced by CSIRO. The study was intended to increase knowledge of the distribution of habitats within the SE Australian Australian Marine Park network, and at nearby reference areas with similar habitat. This information is required to underpin subsequent biological monitoring of key habitats within the AMP network, and to contrast the observations within parks with nearby fished locations to determine the extent that changes in biological communities are driven by natural vs anthropogenic pressures.

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    The Petrel Sub-basin Marine Environmental Survey GA-0335, (SOL5463) was undertaken by the RV Solander during May 2012 as part of the Commonwealth Government's National Low Emission Coal Initiative (NLECI). The survey was undertaken as a collaboration between the Australian Institute of Marine Science (AIMS) and GA. The purpose was to acquire geophysical and biophysical data on shallow (less then 100m water depth) seabed environments within two targeted areas in the Petrel Sub-basin to support investigation for CO2 storage potential in these areas. This dataset comprises an interpreted geomorphic map. Interpreted local-scale geomorphic maps were produced for each survey area in the Petrel Sub-basin using multibeam bathymetry and backscatter grids at 2 m resolution and bathymetric derivatives (e.g. slope; 1-m contours). Five geomorphic units; bank, plain, ridge, terrace and valley, were identified and mapped using definitions suitable for interpretation at the local scale (nominally 1:10 000). Maps and polygons were manual digitised in ArcGIS using the spatial analyst and 3D analyst toolboxes.

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    This record details the mapping of marine 'landforms' (geomorphic features), 'substrate type', and 'ecosystems' classified using multibeam echosounder and marine LiDAR data for the Commonwealth Solitary Islands Marine Park (SIMP) during 2022-23. Mapping was conducted using multibeam echosounder (MBES), towed-video and sediment surveys. A bathymetry mosaic was generated using data sourced from the NSW DCCEEW bathymetry mosaic (https://datasets.seed.nsw.gov.au/dataset/aa8f268e-a23d-4d27-b046-f60c45f8349b), updated with MBES data collected within SIMP in 2023. Coupled with sediment sampling and towed video surveys, the data was used to: 1) ground-truth the MBES data, 2) map the extent and characterise the diversity of unconsolidated seabed types; and, 3) map the extent of rocky reefs and characterise sessile invertebrate diversity within these reef-dominated areas. Seabed ‘landforms’ were derived from the bathymetry mosaic using the Seabed Landforms Classification Toolbox (Linklater et al. 2023). Landform features were subsequently grouped into 'hard' and 'soft' features according to the Seamap Australia National Benthic Habitat Classification Scheme (Lucieer et al. 2019), and additionally labelled with depth zonation to conform to the NESP Natural Values Common Language (Hayes et al. 2021). This package contains a synthesised seabed classification dataset, with three additional contextual datasets: • ‘Marine geomorphology, ecosystems and substrates’ defines seabed landforms, and reef and sediment areas delineated by depth intervals (10 m increments). See also https://datasets.seed.nsw.gov.au/dataset/f0e83f61-3790-4707-8dfe-2e505fbf3fd3 • ‘Bathymetry sources’ outlines the source coverages of the input bathymetric mosaic (also appended to the synthesised seabed classification dataset described above). See https://dx.doi.org/10.26186/149091 for access to bathymetry and backscatter survey data. • 'Towed video substrate classification' provides point classifications of the primary seabed substrate from still images derived from towed videos. See https://squidle.org/geodata/explore#map for annotated imagery. • 'Sediments retrieval' provides the location and associated metadata of sediment grabs. See https://pid.geoscience.gov.au/dataset/ga/69869 for access to the analysed sediment data in the MARS database. The 'Lineage' section of this record provides full methodology and a data dictionary. Surveys were funded by Parks Australia's Director of Marine Parks (Department of Climate Change, Energy, the Environment and Water) and completed under contract to the New South Wales Department of Climate Change, Energy, the Environment and Water. References: Lucieer, V., Barrett, N., Butler, C. et al. (2019). A seafloor habitat map for the Australian continental shelf. Sci Data 6, 120. https://doi.org/10.1038/s41597-019-0126-2 Hayes, K.R., Dunstan, P., Woolley, S. et al. (2021). Designing a targeted monitoring program to support evidence based management of Australian Marine Parks: A pilot on the South-East Marine Parks Network. Report to Parks Australia and the National Environmental Science Program, Marine Biodiversity Hub. Parks Australia, University of Tasmanian and CSIRO, Hobart, Australia, https://www.nespmarine.edu.au/system/files/Hayes%20et%20al_SS2_M8_D7_M4_Designing%20a%20targeted%20monitoring%20program%20to%20support%20evidence-based%20management%20of%20AMPs.pdf. Linklater, M, Morris, B.D. and Hanslow, D.J. (2023). Classification of seabed landforms on continental and island shelves. Frontiers of Marine Science, 10, https://doi.org/10.3389/fmars.2023.1258556.