IMAS Metadata Catalogue
University of Tasmania
Type of resources
Topics
Keywords
Contact for the resource
Provided by
Years
-
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.
-
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.
-
This record provides an overview of the NESP Marine and Coastal Hub scoping study - "Research needs for a national approach to socio-economic values of the marine environment". For specific data outputs from this project, please see child records associated with this metadata. -------------------- Effective management of natural resources and biodiversity requires an integrated understanding of the complex relationships between people and nature. This project reviewed a range of socio-ecological frameworks to identify which system components influence environmental outcomes, and which are most relevant for policy design and behaviour change. A key point of difference from previous NESP Marine Biodiversity Hub projects was an additional theme on implementation pathways, enabling research to inform the full progression from policy to on-ground action. Through a co-design process with stakeholders, the project identified priority social and economic research needs and assessed the availability of relevant datasets to meet them. A key outcome was the identification of three common decision contexts faced by managers—monitoring, trade-off analysis, and promoting behaviour change—and the matching of appropriate frameworks and data to each context. The findings highlight critical data gaps, while providing practical guidance on how existing information can be strategically used to inform management and policy decisions. Outputs • Inventory of compiled datasets relating to relevant economic values, threats, and socioeconomic values for Case Study locations [data inventory] • Four fact sheets, each based around common decision contexts encountered by the project [written] • Final Project Report [written]
-
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]
-
In collaboration with the Tasmanian State Emergency Service, water level monitoring instruments were installed to enable the collection of data in four estuaries identified as being vulnerable to coastal and compound flooding: Derwent Estuary, Huon Estuary, Georges Bay, and Macquarie Harbour. These instruments recorded fluctuations in water levels due to the combined influences of tide, river discharge, and weather events. The effects of the January 2022 Hunga Tonga-Hunga Ha’apai tsunami following a significant submarine volcanic explosion was also recorded in three out of the four estuaries. The datasets, comprising reduced water level observations, predicted water level, and residuals, are available from the IMAS Data Portal. Water level observations of varying duration were recorded between November 2020 – November 2022 for 14 sites in four Tasmanian estuaries. This work was undertaken by Karen Palmer as part of a PhD candidature at the University of Tasmania under the supervision of Dr Christopher Watson, Dr John Hunter, Assoc Prof Hannah Power (University of Newcastle), and Dr Rebecca Harris.
-
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).
-
Data pertain to analysis of GRACE time series of mass change in both gridded and basin format. The GRACE data are based on the COST-G solution obtained from http://gravis.gfz-potsdam.de/home. Both 50km regular gridded data and basin-level time series are included, as well as the SAM and ENSO climate indices on which the regressions were based. The gridded datasets provided here include derived quantities from the regressions such as trends, uncertainties, and regression coefficients in NetCDF format.
-
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.
-
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.
-
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