IMAS Metadata Catalogue
2017
Type of resources
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Records of collisions between vessels and whales in Australian waters between 1872 and 2015 as described in the paper Peel, D., Smith, J. N., & Childerhouse, S. (2018). Vessel Strike of Whales in Australia: The Challenges of Analysis of Historical Incident Data. Frontiers in Marine Science, 5, 69. This record has been created to facilitate access to the original data collection at https://doi.org/10.25919/5be5086a6fda1
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The Australian Shellfish Reef Restoration Network is a recently established Community of Practice which brings together organisations and individuals interested in shellfish reef education, conservation, restoration and management. The Network aims to improve awareness of shellfish reef habitat and educate the broader public on the value of shellfish habitat conservation and restoration. The Network also promotes communication, restoration training, policy and regulation, research and development and implementation amongst network members. This record describes images collected by the Australian Shellfish Reef Restoration Network and freely available on https://shellfishreefs.smugmug.com/
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The Victorian seabed habitat map documents the distribution of broad benthic habitat types in Victorian Coastal Waters to the State’s 3 nautical mile jurisdictional limit. The map was created using a top-down modelling process whereby habitat descriptors were assigned using seafloor structure and biological information derived from multibeam sonar (Victorian Marine Habitat Mapping Project), bathymetric LiDAR (Future Coasts program) and observations from underwater video. Identification of benthic biota, to the lowest discernible taxonomic level, and substrate characteristics were recorded according to the Victorian Towed Video Classification scheme (Ierodiaconou et al. 2007).
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The state boundary area of the Australia continental shelf (including Lord Howe Island). The coastline is at Lowest Astronomical Tide (LAT) and the shelf break is defined by the 200 m isobath taken from Geoscience Australia's GA 2009 bathymetric dataset.
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This dataset has been superseded by https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/0145df96-3847-474b-8b63-a66f0e03ff54 (Victorian Statewide Marine Habitat Map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
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Model output from a circumpolar realisation of the Regional Ocean Modelling System (ROMS). Model was run at a horizontal resolution of 1/4 degree and 31 vertical levels. Spatial domain was circumpolar out to 30 degrees South. Forcing comes from prescribed salt and heat fluxes based on a derived climatology from Tamura et al (2008). For open water regions the Tamura data is blended with open-water heat, salt and surface stress fluxes from a monthly NCEP2 climatology.
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Benthic habitat mapping of Moreton Bay, from Comboyuro Point to Jacobs Well. Mapping conducted as part of the Ecosystem Health Monitoring Program.
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This dataset relates to statistical models of killer whale (Orcinus orca) occurrence in the Bremer Sub-Basin developed from vessel-based and aerial survey data collected between 2015 and 2017. Further information can be found in: Salgado-Kent C, Parnum I, Wellard R, Erbe C, Fouda L. 2017. Habitat preferences and distribution of killer whales (Orcinus orca) in the Bremer Sub-Basin, Australia. Report to the National Environmental Science Programme Marine Biodiversity Hub (CMST 2017-15), 37 p.
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Seabed 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). These areas were defined by the Australian Hydrographic Service (AHS).
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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.