eAtlas Data Catalogue
Coastal seagrass habitat suitability model (wet and dry season) in the Great Barrier Reef World Heritage Area (MTSRF, JCU)
This dataset is consists of modelled habitat suitability of coastal seagrass distribution in the wet and dry seasons along the Great Barrier Reef World Heritage Area coastline.
A Bayesian belief network was used to quantify the relationship (dependencies) between seagrass and eight environmental drivers: relative wave exposure, bathymetry, spatial extent of flood plumes, season, substrate, region, tidal range and sea surface temperature.
We found that at the scale of the entire GBRWHA, the main drivers of inshore seagrass presence are tidal range and relative exposure. The outputs of our analysis included a probabilistic GIS-surface of inshore seagrass presence and distribution for both the wet and dry seasons, and across four regions at the scale of 2km*2km planning units. The model can be used by managers in the GBRWHA to delineate seagrass ecological units, and assist them in marine planning at broad spatial scales.
For more information about methods see: Grech, A. and Coles, R.J. 2010, An ecosystem-scale predictive model of coastal seagrass distribution, Aquatic Conservation: Marine and Freshwater Ecosystems 20: 437-444
Data Location:
This dataset is filed in the eAtlas enduring data repository at: data\MTSRF\QLD_MTSRF-1-1-3_JCU_Grech-A_Seagrass-coastal-model-2007
Simple
Identification info
- Date (Publication)
- 2009-11-01T00:00:00
- Cited responsible party
-
Role Organisation Name Telephone Delivery point City Administrative area Postal code Country Electronic mail address Principal investigator Macquarie University (MQ) Grech, Alana, Dr Voice Facsimile alana.grech@mq.edu.au Collaborator TropWATER, James Cook University (JCU) Coles, Rob, Dr Voice Rob.Coles@jcu.edu.au
- Purpose
- Ecosystem-scale networks of marine protected areas (MPA) are an important planning tool, but the information used to delineate ecological units is difficult to quantify at broad spatial scales because of the cost associated with collecting information at that scale. The Great Barrier Reef World Heritage Area (GBRWHA) is the world’s largest World Heritage area (approximately 348,000 km2) and second largest MPA. To inform the management of inshore (<15 m) seagrass communities at the scale of the entire GBRWHA, we determined their presence and distribution at a regional and sub- regional scale by generating a GIS-based habitat model.
- Status
- Completed
- Point of contact
-
Role Organisation Name Telephone Delivery point City Administrative area Postal code Country Electronic mail address Custodian TropWATER, James Cook University (JCU) Coles, Rob, Dr Voice Rob.Coles@jcu.edu.au
- Spatial representation type
- Grid
Spatial resolution
- Spatial resolution
- 2
- Topic category
-
- Biota
Extent
Extent
Temporal extent
- Time position
- 2005-01-01T00:00:00
- Time position
- 2007-12-31T00:00:00
Extent
Extent
- Keywords (Theme)
-
- marine
Resource constraints
- Linkage
-
http://i.creativecommons.org/l/by/3.0/au/88x31.png
License Graphic
- Title
- Creative Commons Attribution 3.0 Australia License
- Cited responsible party
-
Role Organisation Name Telephone Delivery point City Administrative area Postal code Country Electronic mail address
- Website
-
http://creativecommons.org/licenses/by/3.0/au/
License Text
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distribution format
-
- ARC/INFO raster grid files
- OnLine resource
- Original data in ArcInfo Binary Grid (from Tropical Data Hub). Note: This version has no projection information and an excess extent. (270 KB)
- OnLine resource
- GeoTiff conversion by eAtlas - fix of the GIS problems. (46 KB)
- OnLine resource
- ea:GBR_JCU_Seagrass-coastal-model-2007_Dry-season
- OnLine resource
- ea:GBR_JCU_Seagrass-coastal-model-2007_Wet-season
- OnLine resource
- eAtlas Web Mapping Service (WMS) (AIMS)
Resource lineage
- Statement
- This dataset was developed as part of a Alana Grech's PhD: "Spatial models and risk assessments to inform marine planning at ecosystem-scales: seagrasses and dugongs as a case study", James Cook University, 2009.
- Hierarchy level
- Dataset
Reference System Information
- Reference system identifier
- EPSG/EPSG:4283
Metadata
- Metadata identifier
- urn:uuid/284c3108-accc-4739-a4b1-4ec13c3cc0c6
- Language
- English
- Character encoding
- UTF8
- Contact
-
Role Organisation Name Telephone Delivery point City Administrative area Postal code Country Electronic mail address Point of contact Australian Institute of Marine Science (AIMS) eAtlas Data Manager Voice Facsimile PRIVATE MAIL BAG 3, TOWNSVILLE MAIL CENTRE Townsville Queensland 4810 Australia e-atlas@aims.gov.au
Type of resource
- Resource scope
- Dataset
- Metadata linkage
-
https://eatlas.org.au/data/uuid/284c3108-accc-4739-a4b1-4ec13c3cc0c6
Point of truth URL of this metadata record
- Date info (Creation)
- 2016-08-01T16:40:40
- Date info (Revision)
- 2024-10-28T07:15:48.673Z
Metadata standard
- Title
- ISO 19115-3:2018
