IMAS Metadata Catalogue
University of Tasmania
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The SeaMap Tasmania project undertook mapping of seafloor habitats across the nearshore Tasmanian coastline (0-40 m) - the first state to compile a statewide asssimilated benthic habitat dataset. This initiative comprised of collating aerial photography (from archives), acoustic mapping, and conducting underwater video surveys and field-based visual observations. From this, 1:25,0000 scale habitat maps were created for shallow coastal water to within 1.5 km of the coastline (or 40m depth, which ever was arrived at first). Depth information was collected via acoustic methods and used to discriminate seafloor habitat type, in combination with scanned aerial photographs and towed video transects providing ground-truthing information. See 'Lineage' section of this record for full methodology and data dictionary. This data is also available via the Seamap Australia National Benthic Habitat Layer - a nationally consolidated benthic habitat map. https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/4739e4b0-4dba-4ec5-b658-02c09f27ab9a
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Decision-makers seek to account for the socioeconomic values of environmental assets. However, understanding the available frameworks and data can be a barrier. We address this here by summarising the data used across four case studies (3 geographic regions and 3 socio-economic value frameworks) to demonstrate what data are available and how they are applied to support decisions in varied contexts. See 'Lineage' section of this record for additional methodology.
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The SeaMap Tasmania project undertook mapping of seafloor habitats across the nearshore Tasmanian coastline (0-40 m) - the first state to compile a statewide asssimilated benthic habitat dataset. This initiative comprised of collating aerial photography (from archives), acoustic mapping, and conducting underwater video surveys and field-based visual observations. From this, 1:25,0000 scale habitat maps were created for shallow coastal water to within 1.5 km of the coastline (or 40 m depth, which ever was arrived at first). This record provided access to the raw video and associated annotations from video transects, which were subsequently used as validation (ground-truthing) for habitat mapping. A submersible digital video camera was deployed at selected locations around the Tasmanian coastline. These samples were used to verify the aerial photography and echo sounder substrate classification and obtain more detailed information on biological assemblages. Transects were undertaken from the LWM (Low water mark) to 80 metres in depth or 1.5 kms from shore. Positional information was recorded for each video drop as a series of DGPS coordinates and also as a direct overlay of the DGPS output (position, date and time) onto the video.
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The data result from an analysis of gridded satellite altimetry time series of ice surface elevation for the Antarctic Ice Sheet. Multiple linear regression is performed, including parameters associated with the cumulative sum of each of the Southern Annular Mode (SAM) and El Nino/Southern Oscillation (ENSO). The gridded data include the original data and the derived parameters and statistical values. Four grids are provided. Two grids are from separate regressions performed on data after applying one of two different spatial smoothing filters (10 km and 200 km Gaussian functions). Two further grids are from regressions after subtracting one of two firn densification models from the 10 km-smoothed altimetry data.
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Data collected from Southern Ocean phytoplankton laboratory culture experiments to examine the effect of iron limitation on the Chlorophyll fluorescence (F) to chlorophyll (Chl) ratio. Irradiance levels at which cultures were grown are indicated by the photon flux density (PFD). Growth rates of Fe limited cultures (-Fe) relative to Fe replete cultures (+Fe) are referred to as μ / μmax (unitless).
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The purpose of this study is to evaluate performance of seven different SMB estimates by using GPS vertical deformation timeseries. Data contain the information on elastic displacements at GPS sties in Antarctica from 1979 to 2022, derived from seven SMB products namely RACMO2.4p1 (11 km spatial resolution, monthly temporal resolution), RACMO2.3p2 (27 km, monthly), a downscaled version of RACMO2.3p2 (2 km, monthly), MAR v3.11 (35 km, monthly), GEMB (10 km, monthly), HIRHAM5 (12.5 km, monthly) and MERRA-2 (12.5 km, 5 days). We generated the SMB mass variability time series spanning 1980-2022 by first computing, for each SMB model, the SMB anomalies from the long-term mean SMB computed over 1980-2022. The resulting SMB anomalies were cumulatively summed, detrended, and bilinearly interpolated onto a common regular grid of 2 km resolution. A uniform land mask (Mosaic of Antarctica version 2), defining the extent of the grounded ice sheet (including the offshore islands), was applied to the grid after resampling to the same 2 km resolution. We computed elastic displacements derived from each of these SMB models by converting the detrended SMB mass anomalies at each location and time into arrays of cylinders defined with 1 km radius and a height representing the equivalent ice mass. These arrays were subsequently input into the Regional ElAstic Rebound calculator (REAR, v1.5), adopting the Preliminary Reference Earth Model (PREM) to compute the elastic loading displacements in a centre-of-solid Earth (CE) reference frame at each GPS site location.
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This record provides an overview of the NESP Marine and Coastal Hub project "Evaluation of recreational fishing behaviour, use, values and motivations that relate to compliance". No data outputs were generated by this project. -------------------- Recreational fishing is an important leisure activity in Australia that delivers important social and economic benefits to the community. As the largest and most widely dispersed natural resource-based recreational activity in the country, it is subject to management strategies including bag limits, quotas, and no-take zones. Given the prohibitive cost of deploying compliance officers to monitor Australia’s vast marine estate, strategies are needed to encourage voluntary compliance from fishers. This project explored behavioural interventions to promote self-compliance among recreational fishers, focusing on no-take zones within the Great Barrier Reef Marine Park and two Commonwealth parks off Western Australia (Geographe and Two Rocks). The research distributed more than 800 online surveys, followed up by focus groups and analysis to examine how demographics, motivations and fishing patterns influence fishers' intentions to comply with zoning rules. Survey insights were used to pilot a new targeted approach to awareness campaigns. Using behavioural segmentation, the project tailored messaging to specific audience types and tested these via GBRMPA social media channels. The project also examined perceptions of compliance visibility and found fishers were more likely to comply when uniformed officers were present and engaged directly at ramps or on water. The project outcomes provide a foundation for evidence-based behavioural interventions and targeted communication campaigns. It delivers a proof of concept for scalable, audience-specific behaviour change approaches that can be refined, implemented, and evaluated in future research. Outputs • Fact sheet - characterising recreational fishing population [written] • Final project report [written]
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Bathymetric contours (5 m interval) for Tasmanian coastal waters from the LWM (Low water mark) to 40 metres in depth or 1.5 kms from shore (whichever boundary is first identified). Detailed bathymetric contours were developed to be used to fulfill coastal management objectives according to The Living Marine Resources Act 1995.
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This data record provides a link to the 005-PanAntarctic model outputs that were used to generate the figures for the publication: 𝗔𝘂𝗴𝗲𝗿 𝗠, 𝗦𝗽𝗲𝗻𝗰𝗲 𝗣, 𝗠𝗼𝗿𝗿𝗶𝘀𝗼𝗻 𝗔𝗞, 𝗡𝗮𝘃𝗲𝗶𝗿𝗮 𝗚𝗮𝗿𝗮𝗯𝗮𝘁𝗼 𝗔, & 𝗦𝗶𝗹𝘃𝗮𝗻𝗼 𝗔. (2025) The variability of Antarctic dense water overflows can be observed from space. 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘌𝘢𝘳𝘵𝘩 & 𝘌𝘯𝘷𝘪𝘳𝘰𝘯𝘮𝘦𝘯𝘵, 6 (1) Article 286. https://doi.org/10.1038/s43247-025-02210-7
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Global fisheries landings supplied by a number of agencies (FAO/UN, CCAMLR, NAFO, ICES etc) are mapped to 30-min spatial cells based on the range/gradient of the reported taxon, the spatial access of the reporting country's fleets, and the original reporting area. This data is separated to industrial and non-industrial fishing and associated with types of fishing gears. Estimates of illegal, unreported and unallocated landings are included as are estimates of the weight of fisheries products discarded at sea. For appropriate records, spatial information from tuna regional management organisations and satellite-based vessel Automatic Identification System (AIS) were used to allow greater precision. Mapping the source of fisheries capture allows investigation of the impacts of fishing and the vulnerability of fishing (with its associate food security implications) to climate change impacts. This is the most current version of the Global Fisheries Landings dataset.