Benthic Habitat Distribution in Esperance Bay, Western Australia
Updated 2mo ago
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Description
A study in Esperance Bay, part of the Recherche Archipelago, examined relationships between seabed geomorphology and benthic habitat distribution. The research used multibeam sonar, underwater video, predicted wave energy, and sediment data from a shallow (<50 m), high-energy, temperate environment. Results indicate wave exposure is a key predictor for rhodolith and seagrass habitats, while rhodolith beds are associated with poorly sorted sediments high in gravel, mud, and CaCO3.
Use Cases
Predicting rhodolith and seagrass habitat locations based on wave energy exposure data.
Analyzing the relationship between sediment composition (gravel, mud, CaCO3) and benthic community structure.
Informing fisheries management and environmental monitoring through mapped seabed environments.
Studying the role of wave abrasion and sediment transport in shaping inner shelf habitat diversity.
Strengths
Integrates multiple data sources: multibeam sonar, underwater video, predicted wave energy, and sediment data.
Focuses on a specific, well-described geographic region: Esperance Bay in the Recherche Archipelago, Western Australia.
Findings are derived from a scientific study, suggesting a structured methodological approach.
Limitations
Dataset structure is unknown; no column names, row counts, or file sizes are provided.
License, author, and precise data formats are unspecified across all sources.
The 'last updated' metadata from data.gov.au shows a future date (2026-04-16), indicating a potential metadata error.
Provenance
Source
Australian Ocean Data Network
Collection Method
Scientific study using multibeam sonar, underwater video, predicted wave energy, and sediment sampling.
Time Range
null
Freshness
Last updated metadata points to 2026-04-16 (likely an error) and 2026-03-21.
Geography
Esperance Bay, Recherche Archipelago, temperate southwestern Australia (shallow <50 m waters).
Primary data appears to be documented in an external scientific publication; the linked dataset may be a metadata record or summary.