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2017

37 record(s)
 
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  • Depth areas were derived by aggregating and dissolving the boundaries of the 1 degree S57 file series for the Australian continental shelf and Lord Howe Island shelf (200 m) depicting depth area polygons.

  • This database contains molecular data of elasmobranchs in northern Australian rivers, estuaries and coasts undertaken under the National Environmental Research Program (NERP) Marine Biodiversity Hub Project 2.4 'Supporting Management of Listed and Rare Species'. and the National Environmental Science Program (NESP) Marine Biodiversity Hub Project A1 'Northern Australian Hotspots for the Recovery of Threatened Euryhaline Elasmobranchs'. Surveys using gillnets and rod-and-line were undertaken in the Top End region of the Northern Territory and the Kimberley region of Western Australia. Tissue samples were collected from all elasmobranchs for molecular analyses (population genetics and close-kin mark-recapture).

  • The ETAS (Eastern TASmania) model is a high-resolution (~2 km in the horizontal) ocean model for eastern Tasmania, providing three-dimensional estimates of monthly mean temperature, salinity, and circulation over the 1993-2016 period. This dataset consists of temperature, salinity, meridional (N-S), zonal (E-W), vertical, along- and cross-shore currents, density, sea level and net surface heat flux organised into yearly files. A MATLAB script to extract portions of the data is available here: https://github.com/ecjoliver/extractETAS

  • This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Emerging Priorities project - "Spatial distribution of marine wildlife in the Bremer Bay region". For specific data outputs from this project, please see child records associated with this metadata. -------------------- The Bremer Canyon system is a recognised aggregation area for marine wildlife and predictable aggregations of the orca (Orcinus orca) underpin local ecotourism. Additionally, the value of the region has been recognised in the establishment of the Bremer Commonwealth Marine Reserve (CMR) (https://www.environment.gov.au/topics/marine/marine-reserves/south-west/bremer) and the identification of the Albany canyon group and adjacent shelf break as a Key Ecological Feature in the South-West Marine Bioregional Plan (https://www.environment.gov.au/sprat-public/action/kef/view/23;jsessionid=01AD87551D0DE1B0248C8722BE137004). Little is known about the shelf and canyon region given its remote location and the relatively high cost of conducting offshore research. However, citizen-driven science has documented a stable aggregation of marine wildlife including orcas, sperm whales (Physeter microcephalus), and giant squid (Architeuthis sp.) occurring to the west of the established CMR. There is also speculation that this stable wildlife aggregation may be driven by seabed oil seeps with a hydrocarbon-based food chain although this is unsubstantiated. The potential uniqueness of this wildlife aggregation within the region and what drives its presence remains unknown. There is a significant need to determine the regional importance of this aggregation and its relation to the existing protection afforded by the Bremer CMR. The objective of this project is to improve the understanding of the importance of the Bremer CMR and surrounding region to marine wildlife. The project will determine the distribution of key wildlife of interest across the recognised pelagic aggregation and the Bremer CMR in order to inform Australian Government decision-making to protect the environment, conserve biodiversity and allow for sustainable use. The project will also improve understanding about the likely causes for wildlife aggregations and provide recommendations for future research options. Planned Outputs • A workshop of key experts, managers and external stakeholders to build on the literature review, identify additional data sources and recommend research priorities; • A workshop report including a literature review to synthesise existing information, data and publications on the region in relation to wildlife aggregations, general ecology, oceanography and productivity; • Marine wildlife survey – given the need to cover a large spatial area (i.e. the CMR and the known aggregation area in a single day), the preferred method is for an aerial survey with two observers. We propose that the team mobilises from Esperance given proximity to the CMR and ability to refuel etc. A team of two (2) scientific observers will be included plus an opportunity for an additional observer. The research will involve five (5) days of aerial surveying over no more than a seven (7) day period. The project will investigate the occurrence and distribution of orcas both inside and outside the known aggregation area (including the Bremer CMR). • Analysis of existing acoustic data – Curtin University holds data from acoustic surveys and will interpret these data in the context of distinguishing the presence and distribution of orcas, other cetaceans and other biota. • Analysis of existing orca distribution data within the aggregation – Curtin University has previously collected data on visual sightings of orcas at the aggregation. These data will be the spatial and temporal distribution of orcas at the aggregation site. This has the capacity to identify key patterns in orca behaviour within the known aggregation area. • Collation of orca observations held by ecotourism operator Naturaliste Charter – this collation will provide the opportunity to determine how best to use these data and generate communication products given the collection of imagery. • Pelagic fish survey – an existing planned survey to the Bremer CMR will be extended to include the aggregation area to allow the diversity, abundance and biomass of pelagic sharks and fishes in the CMR and the aggregation area to be compared. This will allow a comparison of the relative richness of the known aggregation area to the CMR with respect to pelagic shark and fish abundance. • Hydrocarbon signals in squid - Preliminary investigation into whether hydrocarbon signals can be detected in squid as a first step in determining whether the wildlife aggregation may be supported by hydrocarbon seeps. Murdoch University hold squid samples from the aggregation area that form the basis of this analysis. • Movement data to determine how adult orcas use the Bremer CMR and the aggregation area - tags will also be placed on at least three (3) adult orcas from the known aggregation site to clarify if those individual orcas are also transiting or using the Bremer CMR. • Knowledge exchange and communication outputs – each component of the project will produce materials for use by Parks Australia. Likely considerations are 3D fly-thru, animations, infographics, brochure, videos, articles. • Reporting outputs – a progress report focussing on completed field work and preliminary results will be produced followed by a final synthesis report.

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    This data contains at-sea GPS tracks of little penguins (Eudyptula minor) tagged at three colonies around Storm Bay, Tasmania (Boronia Beach, Wedge Island and Bruny Island Neck) over the 2015/16 summer breeding season. This data was collected as part of an honours thesis submitted in 2016.

  • This record relates to communications outputs of a research project which centered around working with Indigenous communities to raise the profile of the Largetooth Sawfish and support community driven conservation efforts. Some of the items are intended for public viewing (videos and educational signage); but the other outputs are intended for use by the Indigenous communities involved in the sampling (trip reports and Malak Malak annual floodplain sampling protocol and I-Tracker data collection application).

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    This meta data describes the raw output of the SES DEB-IBM built in NetLogo (version 6.0.1, March 2017; available from http://modelingcommons.org/browse/one_model/5348). The raw output consists of .csv files from several model runs. The detailed explanation of the model workings and background are published in Goedegebuure et al. (2018, PLoS ONE; Modelling southern elephant seals Mirounga leonina using an individual-based model coupled with a dynamic energy budget; DOI: 10.1371/journal.pone.0194950). In short: we developed an individual-based model which is coupled with a dynamic energy budget (a DEB-IBM) for southern elephant seals to demonstrate a method for detailed representation of marine mammals. We aimed to develop a model which could i) simulate energy use and life histories, as well as breeding traits of southern elephant seals in an emergent manner, ii) project a stable population over time, and iii) have realistic population dynamics and structure based on emergent life history features (such as age at first breeding, lifespan, fecundity and (yearling) survival). We evaluated the model's ability to represent a stable population over long time periods (> 10 generations), including the sensitivity of the emergent properties to variations in key parameters. The model was developed using life history data of female southern elephant seals from Macquarie Island and follows individuals from birth to death. The information collected in the raw output are the same for the baseline model (stable, and with standard parameters), and the modified models to test for 1) low, and 2) high food availability, 3) low, and 4) high weaning thresholds (energetic level at which pups transition to juveniles), 5) low, and 6) high puberty thresholds (energetic level at which juveniles transition to physically mature adults). As well as recording the parameter values as set in the model, each .csv file records: 1) run number (usually 1-10) 2) step (time step, days) 3) min age at first breeding (years) 4) min age of adult 5) mean age of adult 6) mean age of juvenile 7) max age of individuals 8) max number of pups per female 9) fecundity 10) max size of individuals 11) mean size of adults 12) mean size of juveniles 13) total count of modelled population 14) total count of embryos 15) total count of pups 16) total count of yearlings 17) total count of juveniles (includes yearlings) 18) total count of adults 19) mean food availability of independent individuals (those not reliant on their mother) that are not fasting/moulting 20) carrying capacity (or expected equilibrium) 21) seed NB. NetLogo calls individuals within the model turtles - thus output will mention turtles. Stages are as follows 0 = foetus, 1 = pup, 2 = juvenile, 3 = adult. Status are as follows, 0 = dependent on mother, 1 = fasting, 2 = foraging.

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    Model data used to quantify the roles of mean and transient flows in transporting heat across almost the entire Antarctic continental slope and shelf using an ocean/sea-ice model run at eddy- and tide-resolving (1/48 degree) horizontal resolution.

  • This dataset has been superseded by https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/0145df96-3847-474b-8b63-a66f0e03ff54 (Victorian Statewide Marine Habitat Map 2023). The Victorian Benthic Habitats - Western Port Bay (CBICS) is a synthesis of all existing benthic habitat characterisations of the embayment which have been reclassified to conform to the Combined Biotope Classification Scheme (CBiCS). Base layers for the synthesised dataset were sourced from data provided by: Marine and Freshwater Resources Institute, Queenscliff, Victoria Institute for Sustainability and Innovation, Victoria University, Melbourne. Parks Victoria, Victorian Government Deakin University, Victoria Department of Environment, Land, Water and Planning, Victorian Government

  • This record provides an overview of the scope and research output of NESP Marine Biodiversity Hub Emerging Priorities project - "Assessing the effectiveness of waste management in reducing the levels of plastics entering Australia’s marine environment". For specific data outputs from this project, please see child records associated with this metadata. -------------------- This project will contribute to better understanding where to target investment in abatement measures by providing information on the extent of the leakage of plastic materials into the marine environment, where the greatest leakages are and in what quantity, and what form they take (e.g. plastic bags, packaging, takeaway containers). It will also identify what type of facilities, policies and outreach strategies governments (state and local) have in place and undertake an assessment of their effectiveness. The objectives of this project are to: 1. Investigate the relationship between plastic debris in the marine environment and litter data from nearby sites; 2. Determine whether there are identifiable pathways through which plastic debris moves into the marine environment; 3. Investigate whether particular investments in facilities, policies or outreach are effective in reducing plastic debris on coasts and in oceans and where investment should be directed in the future; and 4. Initiate an internal department workshop to socialise the outcomes of the research across the relevant arms of the department, including staff involved in approvals, waste, protected species, and parks, and explore the utility of existing data to address the Department’s needs, including those arising from the TAP and the Senate Inquiry. Planned Outputs • A written report and plain English summary for use by state, territory and local governments, which: - Synthesises existing knowledge on the relationship between debris in the marine environment and litter data from nearby sites, the types of litter and the pathways through which litter moves into the marine environment. - Summarises existing coastal debris/litter survey methodologies with discussion of applications of each. • A list of the activities and programs associated with plastic waste reduction (including facilities, policies and outreach), • A publically accessible analysis and summary of different survey methods aiming to reduce debris inputs to the marine environment. - The cost of the activities and programs - Ranking of activities and programs regarding their effectiveness in reducing plastic waste in the marine environment. • Conclusions on where marine debris hot spots are in Australia’s marine environment and effective mitigation strategies. • Recommendations on where more information (scientific, policy, infrastructure, community engagement) is required to obtain a better understanding of the problem and possible solutions. This may include identifying knowledge gaps and needs for further analysis