Recent datasets
Modified on
27 September 2015
This dataset shows a spatial model of the distribution and relative density of dugongs (Dugong dugong) in the Torres Strait region based on an aggregate of 19 years (1986, 1987, 1992, 1994, 1999, and 2005) of systematic aerial surveys. Modified on
1 July 2015
This very large study is part of the Seabed biodiversity study, published in Pitcher et al. (2007). Its purpose was to quantify patterns in seabed biodiversity and inter-reefal environmental conditions throughout the GBR. Modified on
1 July 2015
The eAtlas delivers its mapping products via two Web Mapping Services, a legacy server (from 2008-2011) and a newer primary server (2011+) to which all new content it added. This record describes the primary WMS. Modified on
1 July 2015
This project will develop a Management Strategy Evaluation (MSE) framework to build understanding of the key human uses and drivers of change in the inshore Great Barrier Reef (GBR), and to inform GBR stakeholders of the likely consequences, costs and benefits of particular management decisions that aim to minimise the impacts on biodiversity, particularly from inshore multi-species fisheries.
Modified on
1 July 2015
Climate change has emerged as the single greatest threat to coral reefs. The climate change threat will take many forms and includes projections that there will be higher abundances of coral diseases. Modified on
1 July 2015
The purpose of this study is to detect and quantify spatial and temporal changes in reef fish assemblages of the Great Barrier Reef (GBR). Modified on
1 July 2015
This project focuses on relationships between socio-economic systems and the Great Barrier Reef (GBR). It comprises three interrelated activities to investigate:
1. Resident and tourist views about the relative ‘value’ of key ecosystem services that are provided by the reef. Researchers will design, distribute and analyse the results of a survey instrument to assess the relative value of different goods and services produced by the GBR to stakeholder groups using both traditional money-based valuation techniques and Larson’s non-monetary based technique.
1. Resident and tourist views about the relative ‘value’ of key ecosystem services that are provided by the reef. Researchers will design, distribute and analyse the results of a survey instrument to assess the relative value of different goods and services produced by the GBR to stakeholder groups using both traditional money-based valuation techniques and Larson’s non-monetary based technique.
Modified on
1 July 2015
This record details the TUMRAs that were in effect in 2009. Since then the number of TUMRAs has significantly increases. For the latest agreements refer to GBRMPA. Modified on
1 July 2015
This dataset consists reprocessing and reformatting the SRTM30 PLUS v8.0 Digital Elevation Model (DEM) dataset developed by Scripps Institute Of Oceanography, University of California San Diego (UCSD) to produce a single raster covering the gl Modified on
1 July 2015
This dataset consist of inputs and intermediate results from the coastal scenario modelling. Modified on
1 July 2015
This dataset consists of rasters representing downscaled climate change scenarios (8 km resolution) for the Torres Strait and Papua New Guinea regions for 1990, 2055, 2090. Modified on
1 July 2015
This dataset contains responses from line (n=53), charter (n=40), and trawl (n=21) fishers to a face-to-face survey about the impacts of the 2004 rezoning of the GBR on commercial fishing activity and commercial fishers.Data Units:
Modified on
1 July 2015
This dataset provides information about the Australian community's awareness, concern and actions regarding climate change and the GBR. Modified on
1 July 2015
This dataset represents the aggregate of face to face surveys of 2743 visitors to the Great Barrier Reef World Heritage Area (GBRWHA) conducted in quarterly periods from June 2012 to June 2013. Modified on
1 July 2015
The exposure of Great Barrier Reef coral reef and seagrass ecosystems to contaminants is estimated from the synthesis of: river discharge, water quality data sampled in inshore sites during flood conditions and the use of remote sensing technology to estimate flood plume extents and duration.
River discharge:
River discharge:
Modified on
1 July 2015
Our current knowledge of the mechanisms that affect diversity of plants and animals on the Great Barrier Reef (GBR) is minimal. This project will map the diversity of groups of organisms and environments of the GBR using existing long-term and large-scale data, and relate biotic diversity to spatial, environmental and temporal drivers. These relationships will be interpreted in the context of risk, zoning and management. Outcomes include:
1. Online interactive maps of the diversity of fishes, corals, other organisms and environments of the GBR.
1. Online interactive maps of the diversity of fishes, corals, other organisms and environments of the GBR.
Modified on
1 July 2015
The Reef Rescue Marine Monitoring Program (RRMMP) has identified that seagrass meadows along the Great Barrier Reef are in a state of decline. This project will undertake desktop analyses to quantify the exposure of seagrass meadows to flood plumes. Aquaria experiments will measure responses of seagrass to variation in light, nutrients and salinity. This project will also use use True Colour Remote sensing images, to derive flood plume exposure and relate to changes in seagrass abundance and composition.
Modified on
20 January 2015
This dataset corresponds to a database of datasets that are relevant for the development of coastal development scenarios and impact assessments GBR. It corresponds to a list of all the datasets that were sourced as part of project 9.4. Modified on
1 July 2015
The purpose of this study is to detect and quantify spatial and temporal changes in benthic communities and juvenile coral assemblages of the Great Barrier Reef (GBR). Modified on
1 July 2015
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.