Repository Listing

PreviewSurveys were undertaken in January/February 2009 (summer) at the Capricorn-Bunker, Pompey and Swains Groups on deepwater reef bases (shoals) in the Great Barrier Reef.
PreviewThis dataset shows (1) a raster spatial model of the distribution and relative density of dugongs (Dugong dugong) in the Torres Strait region based on an aggregate of 27 years (1987 - 2013) of systematic aerial surveys; and (2) a raster spatial model of
PreviewThis dataset shows the spatial distribution of the number of visitors to the Great Barrier Reef Marine Park based on visitation rates collected from the Environmental Management Charge (EMC) managed by GBRMPA.
This project undertook a scoping study to develop a robust approach that will allow us in Phase 2 to carry out an ecological risk assessment (ERA) of nutrients, fine suspended sediments, and pesticides used in agriculture in the GBR region including ranking the relative risk of individual contaminants originating from priority catchments to the GBR ecosystems using a systematic, objective and transparent approach.
PreviewThis dataset is subset and aggregation of the current Queensland land use dataset (1999 - 2012) by Queensland Land Use Mapping Program (QLUMP) produced by the Queensland Government.
PreviewThis dataset shows the geology of the Torres Strait region. The polygons in this dataset are a digital representation of the distribution or extent of geological units within the area.
PreviewThis dataset summarises the results of a survey to determine the concentration of trace metals from mine-derived pollution in marine waters and sediments across the Torres Strait during October 2016.
Preview1:100,000 coastal wetland vegetation mapping for the Queensland coastline including mangrove communities, saltpans and saline grasslands.
The values of the Great Barrier Reef World Heritage Area (GBRWHA) are threatened by coastal development through habitat loss and runoff of sediment, nutrients and pollutants. Future coastal development is difficult to predict because it depends on volatile socio-economic and political factors. With this in mind, we developed a research project that uses spatially explicit scenario planning to identify plausible futures to 2035 for the GBRWHA coastal zone. The method used to produce maps of these scenarios is land-use change modelling using the GIS Idrisi.

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