Predicted Seagrass Communities Across the Great Barrier Reef and Estuaries

Six raster datasets predict the distribution of seagrass communities across the Great Barrier Reef World Heritage Area and adjacent estuaries. The models, developed by James Cook University's TropWATER Seagrass Group, use multivariate regression trees and environmental predictors like depth and sediment type. This data, with 30-meter resolution, supports management in remote areas where direct survey data is lacking.

Use Cases

• Modeling habitat suitability for seagrass communities based on environmental predictors like depth and sediment type.
• Informing marine spatial planning and conservation zoning based on predicted seagrass distribution.
• Assessing potential impacts of coastal development or climate change on seagrass meadows.
• Validating and refining field survey strategies by identifying areas with high predicted seagrass presence.

Strengths

• Models cover six distinct habitat types: estuary intertidal, estuary subtidal, coastal intertidal, coastal subtidal, reef intertidal, and reef subtidal.
• Raster data has a spatial resolution of 30 meters.
• Predictions are based on a synthesis of seagrass site data collected since the early 1980s.

Limitations

• The description does not specify the accuracy or validation metrics for the predictive models.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

James Cook University's Centre for Tropical Water & Aquatic Ecosystem Research (TropWATER)

Collection Method

Multivariate regression tree models using synthesized seagrass site data and environmental predictors.

Freshness

Last updated 2026-07-10 14:48:23.485597; freshness should be verified.

Geography

Great Barrier Reef World Heritage Area and adjacent estuaries