Repository Listing
The project will assist decision-makers to more efficiently restore biodiversity to degraded rainforest landscapes by providing new knowledge about the outcomes of lower-cost natural regeneration (including potential for minimum intervention management) relative to higher-cost active reforestation (replanting) on post-agricultural land. The outcomes of this project will enable planners to assess the costs, risks and benefits of different approaches to reforestation and choose the most appropriate method for any particular ecological and economic context.
This project will:
The dataset represents the code base developed for the generation of water quality metrics from various data sources (eReefs Biogeochemical models, MODIS Satellite imaging and AIMS in situ sampling).
This experiment grew adult Echinometra sp. A sea urchins under four temperature and pH treatments 28 / 7.9, 28 / 8.1, 31 / 7.9, 31 / 8.1 (degrees C, pH) to investigate the interactive effects of warming and acidification on their physiology.
The purpose of this study was to quantify patterns in scleractinian biodiversity, and in the cover of the main benthos groups, on the Great Barrier Reef.
This dataset contains Vegetation and Biomass monitoring data collected for the NESP Project 2.1.4 (Demonstration and evaluation of gully remediation on downstream water quality and agricultural production in GBR rangelands).
This dataset shows a raster spatial model of the distribution and relative density of dugongs (Dugong dugong) in the northern Great Barrier Reef region based on an aggregate of 24 years (1990 - 2013) of systematic aerial surveys.
Methods:
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.
A baseline survey of green (no-take) zoned sites and blue (open to fishing) sites in adjacent areas of the northern Great Barrier Reef Marine Park was carried out in December 2006.
This layer shows a 500m resolution image of the world derived from the Blue Marble Next Generation April 2004 image (86400x43200 pixels).
This dataset demonstrates the suitability of microsatellite markers to discriminate between species of coral trout (Plectropomus spp.) and identify parent-offspring relationships in natural populations.