JSON RDF ISO19115-3 XML

Environmental factors associated with the spatial distribution of crustose coralline algae on the Great Barrier Reef

Created 24/06/2017

Updated 09/10/2017

JSON RDF ISO19115-3 XML

Between May 1996 and September 1999 the percentage cover of crustose coralline algae and environmental conditions were visually estimated on 144 reefs.

On each reef, 2 sites (windward and leeward) were surveyed at up to 5 pre-defined depths (18-13, 13-8, 8-3, 3-1, reef flat), typically covering 200-300 m for each depth range.

Percent total cover (0, 2.5, 5, 7.5, 10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100%) of hard corals, octocorals, crustose coralline algae, turf algae, Sargassum and other macroalgae and unconsolidated substratum (sand/sediment/mud, and rubble).

Visibility (Secchi distance in metres); sediment deposit thickness (0=none, 1=thin layer, 2=moderate layer, 3=thick deep layer); and slope angle (in 5° increments) were recorded.

Relative distance across (from the coast), and along (to the northen end of the Great Barrier Reef), the shelf were calculated based on longitude and latitude.

Files and APIs

Tags

Additional Info

Field Value
Title Environmental factors associated with the spatial distribution of crustose coralline algae on the Great Barrier Reef
Language English
Licence Other
Landing Page https://devweb.dga.links.com.au/data/dataset/cd185c15-10db-40d6-a03c-1692a0d13af7
Contact Point
Australian Institute of Marine Science
adc@aims.gov.au
Geospatial Coverage {"type": "Polygon", "coordinates": [[[141.0, -24.0], [153.0, -24.0], [153.0, -10.0], [141.0, -10.0], [141.0, -24.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Environmental factors associated with the spatial distribution of crustose coralline algae on the Great Barrier Reef". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/environmental-factors-associated-with-the-spatial-distribution-of-crustose-coralline-algae-on-t

Original dataset
Dataset copies

No duplicate datasets found.